Date: 2021-07-26 10:46:32 CEST, cola version: 1.9.4
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First the variable is renamed to res_rh.
res_rh = rh
The partition hierarchy and all available functions which can be applied to res_rh object.
res_rh
#> A 'HierarchicalPartition' object with 'ATC:skmeans' method.
#> On a matrix with 9689 rows and 1728 columns.
#> Performed in total 6450 partitions.
#> There are 26 groups under the following parameters:
#> - min_samples: 17
#> - mean_silhouette_cutoff: 0.9
#> - min_n_signatures: 358 (signatures are selected based on:)
#> - fdr_cutoff: 0.05
#> - group_diff (scaled values): 0.5
#>
#> Hierarchy of the partition:
#> 0, 1728 cols
#> |-- 01, 858 cols, 994 signatures
#> | |-- 011, 435 cols, 362 signatures
#> | | |-- 0111, 312 cols, 17 signatures (c)
#> | | `-- 0112, 123 cols, 715 signatures
#> | | |-- 01121, 84 cols, 3 signatures (c)
#> | | `-- 01122, 39 cols, 202 signatures (c)
#> | |-- 012, 258 cols, 1406 signatures
#> | | |-- 0121, 119 cols, 325 signatures (c)
#> | | |-- 0122, 102 cols, 309 signatures (c)
#> | | `-- 0123, 37 cols, 41 signatures (c)
#> | `-- 013, 165 cols, 671 signatures
#> | |-- 0131, 123 cols, 257 signatures (c)
#> | `-- 0132, 42 cols, 858 signatures
#> | |-- 01321, 31 cols (b)
#> | `-- 01322, 11 cols (b)
#> `-- 02, 870 cols, 6863 signatures
#> |-- 021, 330 cols, 1887 signatures
#> | |-- 0211, 187 cols, 519 signatures
#> | | |-- 02111, 91 cols, 72 signatures (c)
#> | | `-- 02112, 96 cols, 88 signatures (c)
#> | `-- 0212, 143 cols, 1958 signatures
#> | |-- 02121, 55 cols, 177 signatures (c)
#> | |-- 02122, 54 cols, 54 signatures (c)
#> | `-- 02123, 34 cols, 11 signatures (c)
#> |-- 022, 286 cols, 6804 signatures
#> | |-- 0221, 113 cols, 2465 signatures
#> | | |-- 02211, 38 cols, 58 signatures (c)
#> | | |-- 02212, 48 cols, 153 signatures (c)
#> | | `-- 02213, 27 cols (b)
#> | |-- 0222, 101 cols, 1106 signatures
#> | | |-- 02221, 77 cols, 293 signatures (c)
#> | | `-- 02222, 24 cols (b)
#> | `-- 0223, 72 cols, 94 signatures (c)
#> `-- 023, 254 cols, 2575 signatures
#> |-- 0231, 78 cols (a)
#> |-- 0232, 59 cols, 973 signatures
#> | |-- 02321, 38 cols, 56 signatures (c)
#> | `-- 02322, 21 cols (b)
#> `-- 0233, 117 cols, 644 signatures
#> |-- 02331, 49 cols (a)
#> |-- 02332, 35 cols (a)
#> `-- 02333, 33 cols (b)
#> Stop reason:
#> a) Mean silhouette score was too small
#> b) Subgroup had too few columns.
#> c) There were too few signatures.
#>
#> Following methods can be applied to this 'HierarchicalPartition' object:
#> [1] "all_leaves" "all_nodes" "cola_report" "collect_classes"
#> [5] "colnames" "compare_signatures" "dimension_reduction" "functional_enrichment"
#> [9] "get_anno_col" "get_anno" "get_children_nodes" "get_classes"
#> [13] "get_matrix" "get_signatures" "is_leaf_node" "max_depth"
#> [17] "merge_node" "ncol" "node_info" "node_level"
#> [21] "nrow" "rownames" "show" "split_node"
#> [25] "suggest_best_k" "test_to_known_factors" "top_rows_heatmap" "top_rows_overlap"
#>
#> You can get result for a single node by e.g. object["01"]
The call of hierarchical_partition() was:
#> hierarchical_partition(data = lt$mat, anno = lt$anno, subset = 500, cores = 4)
Dimension of the input matrix:
mat = get_matrix(res_rh)
dim(mat)
#> [1] 9689 1728
All the methods that were tried:
res_rh@param$combination_method
#> [[1]]
#> [1] "ATC" "skmeans"
The density distribution for each sample is visualized as one column in the following heatmap. The clustering is based on the distance which is the Kolmogorov-Smirnov statistic between two distributions.
library(ComplexHeatmap)
densityHeatmap(mat, top_annotation = HeatmapAnnotation(df = get_anno(res_rh),
col = get_anno_col(res_rh)), ylab = "value", cluster_columns = TRUE, show_column_names = FALSE,
mc.cores = 1)
Some values about the hierarchy:
all_nodes(res_rh)
#> [1] "0" "01" "011" "0111" "0112" "01121" "01122" "012" "0121" "0122" "0123" "013"
#> [13] "0131" "0132" "01321" "01322" "02" "021" "0211" "02111" "02112" "0212" "02121" "02122"
#> [25] "02123" "022" "0221" "02211" "02212" "02213" "0222" "02221" "02222" "0223" "023" "0231"
#> [37] "0232" "02321" "02322" "0233" "02331" "02332" "02333"
all_leaves(res_rh)
#> [1] "0111" "01121" "01122" "0121" "0122" "0123" "0131" "01321" "01322" "02111" "02112" "02121"
#> [13] "02122" "02123" "02211" "02212" "02213" "02221" "02222" "0223" "0231" "02321" "02322" "02331"
#> [25] "02332" "02333"
node_info(res_rh)
#> id best_method depth best_k n_columns n_signatures p_signatures is_leaf
#> 1 0 ATC:skmeans 1 2 1728 7174 0.74043 FALSE
#> 2 01 ATC:skmeans 2 3 858 994 0.10259 FALSE
#> 3 011 ATC:skmeans 3 2 435 362 0.03736 FALSE
#> 4 0111 ATC:skmeans 4 2 312 17 0.00175 TRUE
#> 5 0112 ATC:skmeans 4 2 123 715 0.07380 FALSE
#> 6 01121 ATC:skmeans 5 2 84 3 0.00031 TRUE
#> 7 01122 ATC:skmeans 5 2 39 202 0.02085 TRUE
#> 8 012 ATC:skmeans 3 3 258 1406 0.14511 FALSE
#> 9 0121 ATC:skmeans 4 3 119 325 0.03354 TRUE
#> 10 0122 ATC:skmeans 4 2 102 309 0.03189 TRUE
#> 11 0123 ATC:skmeans 4 2 37 41 0.00423 TRUE
#> 12 013 ATC:skmeans 3 2 165 671 0.06925 FALSE
#> 13 0131 ATC:skmeans 4 3 123 257 0.02652 TRUE
#> 14 0132 ATC:skmeans 4 2 42 858 0.08855 FALSE
#> 15 01321 not applied 5 NA 31 NA NA TRUE
#> 16 01322 not applied 5 NA 11 NA NA TRUE
#> 17 02 ATC:skmeans 2 3 870 6863 0.70833 FALSE
#> 18 021 ATC:skmeans 3 2 330 1887 0.19476 FALSE
#> 19 0211 ATC:skmeans 4 2 187 519 0.05357 FALSE
#> 20 02111 ATC:skmeans 5 2 91 72 0.00743 TRUE
#> 21 02112 ATC:skmeans 5 2 96 88 0.00908 TRUE
#> 22 0212 ATC:skmeans 4 3 143 1958 0.20208 FALSE
#> 23 02121 ATC:skmeans 5 3 55 177 0.01827 TRUE
#> 24 02122 ATC:skmeans 5 2 54 54 0.00557 TRUE
#> 25 02123 ATC:skmeans 5 2 34 11 0.00114 TRUE
#> 26 022 ATC:skmeans 3 3 286 6804 0.70224 FALSE
#> 27 0221 ATC:skmeans 4 3 113 2465 0.25441 FALSE
#> 28 02211 ATC:skmeans 5 2 38 58 0.00599 TRUE
#> 29 02212 ATC:skmeans 5 2 48 153 0.01579 TRUE
#> 30 02213 not applied 5 NA 27 NA NA TRUE
#> 31 0222 ATC:skmeans 4 2 101 1106 0.11415 FALSE
#> 32 02221 ATC:skmeans 5 2 77 293 0.03024 TRUE
#> 33 02222 not applied 5 NA 24 NA NA TRUE
#> 34 0223 ATC:skmeans 4 2 72 94 0.00970 TRUE
#> 35 023 ATC:skmeans 3 3 254 2575 0.26577 FALSE
#> 36 0231 ATC:skmeans 4 4 78 NA NA TRUE
#> 37 0232 ATC:skmeans 4 2 59 973 0.10042 FALSE
#> 38 02321 ATC:skmeans 5 2 38 56 0.00578 TRUE
#> 39 02322 not applied 5 NA 21 NA NA TRUE
#> 40 0233 ATC:skmeans 4 3 117 644 0.06647 FALSE
#> 41 02331 ATC:skmeans 5 2 49 NA NA TRUE
#> 42 02332 ATC:skmeans 5 2 35 NA NA TRUE
#> 43 02333 not applied 5 NA 33 NA NA TRUE
In the output from node_info(), there are the following columns:
id: The node id.best_method: The best method selected.depth: Depth of the node in the hierarchy.best_k: Best number of groups of the partition on that node.n_columns: Number of columns in the submatrix.n_signatures: Number of signatures with the best_k.p_signatures: Proportion of hte signatures in total number of rows in the matrix.is_leaf: Whether the node is a leaf.Labels of nodes are encoded in a special way. The number of digits correspond to the depth of the node in the hierarchy and the value of the digits correspond to the index of the subgroup in the current node, E.g. a label of “012” means the node is the second subgroup of the partition which is the first subgroup of the root node.
Following table shows the best k (number of partitions) for each node in the
partition hierarchy. Clicking on the node name in the table goes to the
corresponding section for the partitioning on that node.
The cola vignette explains the definition of the metrics used for determining the best number of partitions.
suggest_best_k(res_rh)
| Node | Best method | Is leaf | Best k | 1-PAC | Mean silhouette | Concordance | #samples | |
|---|---|---|---|---|---|---|---|---|
| Node0 | ATC:skmeans | 2 | 1.00 | 1.00 | 1.00 | 1728 | ** | |
| Node01 | ATC:skmeans | 3 | 1.00 | 0.97 | 0.98 | 858 | ** | |
| Node011 | ATC:skmeans | 2 | 1.00 | 0.98 | 0.99 | 435 | ** | |
| Node0111-leaf | ATC:skmeans | ✓ (c) | 4 | 0.93 | 0.90 | 0.96 | 312 | * |
| Node0112 | ATC:skmeans | 3 | 0.95 | 0.92 | 0.97 | 123 | * | |
| Node01121-leaf | ATC:skmeans | ✓ (c) | 2 | 0.95 | 0.94 | 0.97 | 84 | * |
| Node01122-leaf | ATC:skmeans | ✓ (c) | 3 | 0.96 | 0.96 | 0.98 | 39 | ** |
| Node012 | ATC:skmeans | 3 | 1.00 | 0.98 | 0.99 | 258 | ** | |
| Node0121-leaf | ATC:skmeans | ✓ (c) | 4 | 0.91 | 0.90 | 0.95 | 119 | * |
| Node0122-leaf | ATC:skmeans | ✓ (c) | 2 | 1.00 | 0.96 | 0.98 | 102 | ** |
| Node0123-leaf | ATC:skmeans | ✓ (c) | 2 | 1.00 | 0.99 | 1.00 | 37 | ** |
| Node013 | ATC:skmeans | 2 | 1.00 | 0.98 | 0.99 | 165 | ** | |
| Node0131-leaf | ATC:skmeans | ✓ (c) | 3 | 0.99 | 0.95 | 0.98 | 123 | ** |
| Node0132 | ATC:skmeans | 2 | 1.00 | 0.99 | 0.99 | 42 | ** | |
| Node01321-leaf | not applied | ✓ (b) | 31 | |||||
| Node01322-leaf | not applied | ✓ (b) | 11 | |||||
| Node02 | ATC:skmeans | 4 | 0.93 | 0.92 | 0.96 | 870 | * | |
| Node021 | ATC:skmeans | 3 | 0.96 | 0.94 | 0.97 | 330 | ** | |
| Node0211 | ATC:skmeans | 2 | 1.00 | 0.98 | 0.99 | 187 | ** | |
| Node02111-leaf | ATC:skmeans | ✓ (c) | 2 | 0.91 | 0.91 | 0.96 | 91 | * |
| Node02112-leaf | ATC:skmeans | ✓ (c) | 2 | 0.87 | 0.91 | 0.96 | 96 | |
| Node0212 | ATC:skmeans | 4 | 0.92 | 0.90 | 0.94 | 143 | * | |
| Node02121-leaf | ATC:skmeans | ✓ (c) | 3 | 0.95 | 0.93 | 0.97 | 55 | * |
| Node02122-leaf | ATC:skmeans | ✓ (c) | 2 | 1.00 | 0.97 | 0.99 | 54 | ** |
| Node02123-leaf | ATC:skmeans | ✓ (c) | 2 | 1.00 | 0.99 | 0.99 | 34 | ** |
| Node022 | ATC:skmeans | 3 | 1.00 | 0.96 | 0.99 | 286 | ** | |
| Node0221 | ATC:skmeans | 4 | 0.92 | 0.90 | 0.96 | 113 | * | |
| Node02211-leaf | ATC:skmeans | ✓ (c) | 2 | 0.68 | 0.93 | 0.96 | 38 | |
| Node02212-leaf | ATC:skmeans | ✓ (c) | 2 | 1.00 | 1.00 | 1.00 | 48 | ** |
| Node02213-leaf | not applied | ✓ (b) | 27 | |||||
| Node0222 | ATC:skmeans | 2 | 1.00 | 0.96 | 0.99 | 101 | ** | |
| Node02221-leaf | ATC:skmeans | ✓ (c) | 2 | 0.95 | 0.95 | 0.98 | 77 | * |
| Node02222-leaf | not applied | ✓ (b) | 24 | |||||
| Node0223-leaf | ATC:skmeans | ✓ (c) | 2 | 0.96 | 0.94 | 0.97 | 72 | ** |
| Node023 | ATC:skmeans | 4 | 0.91 | 0.89 | 0.95 | 254 | * | |
| Node0231-leaf | ATC:skmeans | ✓ (a) | 4 | 0.85 | 0.87 | 0.94 | 78 | |
| Node0232 | ATC:skmeans | 2 | 1.00 | 0.97 | 0.99 | 59 | ** | |
| Node02321-leaf | ATC:skmeans | ✓ (c) | 2 | 1.00 | 1.00 | 1.00 | 38 | ** |
| Node02322-leaf | not applied | ✓ (b) | 21 | |||||
| Node0233 | ATC:skmeans | 3 | 0.99 | 0.96 | 0.98 | 117 | ** | |
| Node02331-leaf | ATC:skmeans | ✓ (a) | 2 | 0.81 | 0.86 | 0.94 | 49 | |
| Node02332-leaf | ATC:skmeans | ✓ (a) | 4 | 0.75 | 0.79 | 0.88 | 35 | |
| Node02333-leaf | not applied | ✓ (b) | 33 |
Stop reason: a) Mean silhouette score was too small b) Subgroup had too few columns. c) There were too few signatures.
**: 1-PAC > 0.95, *: 1-PAC > 0.9
The nodes of the hierarchy can be merged by setting the merge_node parameters. Here we
control the hierarchy with the min_n_signatures parameter. The value of min_n_signatures is
from node_info().
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 362))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 519))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 644))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 671))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 715))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 858))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 973))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 994))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 1106))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 1406))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 1887))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 1958))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 2465))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 2575))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 6804))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 6863))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
collect_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 7174))
#> Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent
Following shows the table of the partitions (You need to click the show/hide code output link to see it).
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 362))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "02331" "02333" "02333" "02331" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "02322" "02331" "0122" "0122" "0231" "02221" "02321" "02221"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "02332" "02332" "0231" "02321" "0122" "0231" "02331" "0231" "02321"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "02332" "0223" "0231" "0122" "0122" "02331" "02221" "02332" "02331"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "0122" "0121" "0231" "0231" "0123" "02121" "02221" "0111"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02222" "02332" "01321" "0123" "0122" "02221" "02322" "0231" "0111"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "02331" "02331" "02332" "02322" "0231" "01321" "02211" "02331" "01122"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "0111" "0111" "02211" "0223" "02213" "02221" "02221" "0223" "02321"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "02322" "02321" "02321" "02211" "0122" "02121" "02221" "01121" "01322"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "02321" "0223" "02322" "02332" "0231" "0231" "02332" "0122" "02221"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01321" "02221" "01121" "0111" "0111" "0111" "0122" "0122" "0123"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "0121" "0231" "0131" "0131" "0131" "01322" "0231" "0231" "0111"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "01121" "0111" "01122" "0121" "01121" "01121" "0111" "0131"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "0131" "0111" "0131" "0131" "02321" "01322" "0122" "0123" "02331"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "0111" "0111" "0131" "01121" "0111" "0111" "0231" "0122" "0111"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "0111" "0231" "01122" "01321" "0131" "02221" "01122" "0131" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "0122" "0131" "0111" "0131" "0122" "0121" "02211" "0111"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "0111" "0131" "0223" "0111" "0111" "02121" "0131" "0131" "0131"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "0122" "0231" "02111" "0111" "02331" "0111" "0231" "0111" "02331"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "0131" "0111" "0111" "0123" "0111" "01122" "0111" "01322" "0122"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "0131" "0111" "02331" "02331" "0122" "01321" "0131" "01121" "0123"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "0122" "01121" "0111" "0131" "0131" "0122" "0111" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "0122" "01121" "0131" "0111" "01321" "0131" "0131" "0111" "0111"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "0121" "0111" "0111" "0111" "0231" "0131" "02221" "01322"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "0111" "0131" "0131" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "0111" "0111" "0111" "0231" "0131" "0231" "0111" "0111" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "0111" "0131" "0231" "0111" "0111" "0231" "01121" "01122" "0111"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "0121" "0131" "0111" "0131" "0121" "0122" "0121" "0111" "02331"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01321" "0122" "0111" "0122" "01121" "0231" "0111" "02322" "0131"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "0131" "02321" "0231" "01122" "02221" "0111" "0131" "0131" "0111"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "0111" "0111" "0131" "0131" "0131" "01122" "0122" "0111" "0111"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "0131" "0131" "0231" "0122" "0122" "0122" "0111" "0111" "01121"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "0122" "0231" "01121" "0111" "0131" "0123" "0131" "0111" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "0131" "0122" "0111" "0111" "0111" "0131" "0131" "0111" "0111"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "0111" "0111" "0122" "0111" "0111" "0131" "0111" "0111" "0131"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "0131" "0121" "0131" "0111" "0122" "0111" "0111" "0111" "0122"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "0111" "0111" "0231" "0111" "0131" "0111" "0111" "0122" "0131"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02221" "0111" "0131" "0131" "0122" "02112" "0122" "0122" "0121"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "0131" "0111" "0111" "01121" "0122" "0111" "0111" "0111" "0111"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "0121" "0111" "0131" "02322" "0111" "0111" "0131" "02221"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "0131" "0111" "0123" "0111" "0111" "0111" "0111" "0111" "0111"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "0111" "0111" "0111" "01321" "0122" "02331" "0111" "0122" "0111"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "0131" "0131" "0111" "0131" "0131" "0131" "01121" "01122" "01321"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01322" "01121" "0231" "02221" "02221" "02221" "01121" "01122" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "0131" "02221" "0131" "0131" "0131" "0131" "01321" "0231" "0131"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "0121" "02321" "0131" "02221" "02221" "01321" "0131" "01122" "02221"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "0123" "0131" "0231" "01121" "01122" "0122" "02221"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "0131" "02212" "0231" "0122" "0131" "0111" "02221" "02112" "02221"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01321" "0131" "0131" "01321" "01121" "02221" "0111" "02111" "0111"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01321" "0111" "02221" "02332" "01121" "0223" "02321" "0223" "0131"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01321" "02213" "02211" "0111" "02112" "02221" "02322" "02322" "0111"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "0111" "0111" "0111" "01121" "0111" "0111" "0111" "0231" "0131"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "0122" "0131" "02221" "0131" "0122" "0111" "02122" "02221" "0131"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "0131" "0131" "0111" "0111" "0131" "0122" "01322" "0231" "02221"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "0111" "0111" "02331" "0111" "0111" "0122" "0111" "0111" "0111"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "0111" "0131" "0111" "0111" "0111" "0111" "0111" "0111" "0111"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "0111" "0111" "0111" "0111" "0111" "0111" "0111" "0111" "0111"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "02322" "0111" "0231" "0111" "0131" "0131" "01321" "0121" "01121"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "0111" "0111" "0111" "0111" "0111" "0121" "0111" "0111" "01321"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "0111" "0111" "0111" "0122" "0111" "0111" "01122" "0131" "0111"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "0111" "0111" "0111" "0131" "0111" "0121" "0131" "0122" "0131"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01121" "02221" "01122" "0111" "0231" "0131" "02221" "0123" "0111"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "0131" "01122" "0111" "0131" "02321" "0111" "0111" "0111" "01122"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "0121" "0111" "0131" "02332" "0122" "0111" "0111" "0111" "0111"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "02111" "01121" "02121" "02321" "02222" "02112" "02111"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "0131" "0121" "02332" "02221" "02322" "02111" "02331" "02331"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01321" "02111" "0123" "02212" "0223" "0223" "02111" "0123" "02333"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "0122" "02112" "0111" "02331" "02112" "02111" "02331" "02111" "02111"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "02331" "01121" "0223" "02121" "02122" "02122" "02332" "02333" "02333"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "02321" "02333" "0111" "02121" "0111" "02111" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "02112" "02112" "0223" "0121" "0223" "02111" "02211" "02331"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "0121" "02111" "02111" "02112" "02122" "0223" "02112" "0223" "0111"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "0122" "0122" "02122" "02221" "02121" "0223" "02332" "01121" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "02111" "0111" "02122" "02123" "02122" "02122" "01322" "02221"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "02111" "0223" "02333" "02112" "0111" "0122" "0231" "02112"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "02111" "02221" "02331" "0121" "0122" "02111" "02221" "0122" "02331"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "0111" "0223" "02111" "0231" "0121" "02331" "02111" "02112" "02111"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "02333" "02212" "0111" "0111" "0121" "02333" "0122" "02111" "02111"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "02333" "0121" "02333" "02221" "02111" "0121" "02112" "0121" "02222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "02112" "02331" "02111" "02122" "0122" "0122" "01122" "0121" "02111"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "0121" "0111" "0121" "02331" "02321" "02121" "02121" "02333" "02111"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "02333" "0121" "0122" "02121" "02111" "0121" "02332" "02332" "02333"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "02332" "02333" "02212" "02333" "0223" "0231" "0122" "0111" "02332"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "02112" "0111" "02221" "02111" "02211" "02332" "02111" "02111" "0121"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "02332" "02111" "02111" "0121" "0111" "0121" "02111" "02221" "0121"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "02111" "0223" "0111" "0231" "0121" "0122" "02321" "0121" "0111"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "0131" "0123" "0121" "0123" "0131" "01321" "0122" "0131" "0122"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "0121" "0111" "0231" "0111" "0121" "0121" "0231" "0122" "01321"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "0122" "0111" "0131" "0122" "0123" "0121" "02321" "0122" "02222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "0122" "0122" "0121" "02333" "0121" "0123" "0122" "0121" "0121"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "02322" "0131" "0121" "0122" "0121" "0121" "02331" "0122" "0111"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "0122" "02332" "0121" "0121" "0111" "0121" "0131" "0121" "0111"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "02331" "0122" "0131" "0121" "02333" "02331" "02112" "02331" "02111"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "0121" "0121" "02331" "01122" "0121" "0121" "02333" "0121" "02322"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "0121" "0122" "02111" "02331" "0122" "0121" "0121" "02331" "0121"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "02112" "0131" "0122" "02112" "0121" "0223" "0111" "0231" "02111"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "02112" "02331" "02112" "02123" "0223" "02122" "0121" "02331" "02111"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "02112" "02331" "02111" "0122" "02112" "0131" "02333" "02112" "02331"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "02333" "0121" "02111" "02121" "0223" "02321" "02322" "02333" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "02111" "02333" "0121" "02112" "02112" "02112" "02322" "02333" "0121"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "0123" "02333" "02331" "02112" "02123" "02213" "0121" "0121"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "0111" "02213" "0122" "0122" "02321" "0231" "0111" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "02111" "02333" "02331" "02112" "02122" "02333" "02111" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "02333" "0111" "02111" "02222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "0111" "01121" "02111" "0111" "0223" "02112" "01121" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "02333" "02121" "02121" "02111" "01121" "0122" "0121"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "0111" "0111" "0111" "02212" "01121" "0122" "0122"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01121" "01121" "01121" "0111" "01121" "01122" "0123" "01122" "01321"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "0111" "01321" "02321" "01121" "0231" "01121" "01121" "01121" "01321"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01121" "01122" "02321" "01121" "0123" "01321" "0111" "02221" "0111"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "0111" "0111" "0122" "01322" "0111" "01121" "01122" "0123" "01122"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "0122" "01121" "01121" "01122" "01121" "02321" "01321" "0111" "02321"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "0111" "0122" "01321" "01322" "02221" "0231" "01122" "02321" "02221"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01122" "0111" "01121" "02112" "01122" "0223" "01122" "02332" "02221"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02221" "02322" "02221" "02222" "01321" "01122" "01122" "01122" "0111"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "0111" "0111" "0111" "0111" "0111" "0111" "0111" "0111"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "0111" "01122" "0123" "0111" "02332" "02221" "02331" "01122"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "0111" "02221" "02221" "0121" "0111" "01121" "0111" "0121" "0111"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02221" "0111" "0111" "02112" "0111" "0111" "02111" "02111" "0111"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "0131" "0223" "0111" "0111" "0111" "02321" "02111" "0111" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "0111" "02212" "0121" "02212" "0111" "02121" "0111" "0111"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "0131" "02111" "0131" "02212" "0111" "01121" "0111" "0111" "0111"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "0111" "0131" "0111" "0111" "02222" "0111" "02221" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "0111" "01121" "0131" "01121" "01121" "0131" "01121"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "0111" "0111" "0111" "0111" "0111" "02213" "0111" "0111" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01121" "01121" "0223" "0123" "02222" "0111" "01121" "0131" "0111"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01121" "01121" "02112" "02213" "0131" "02112" "0111" "0131" "0111"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01122" "0121" "0111" "0122" "01121" "02111" "0111" "02122" "0111"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "01121" "0122" "02111" "01121" "01321" "02121" "0111" "01121"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01121" "02111" "01121" "0111" "0131" "0111" "01121" "02111" "02111"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01121" "01121" "02321" "0111" "0111" "02111" "02123" "0231" "0111"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "0111" "01121" "0111" "01121" "0111" "0111" "0111" "0111" "0111"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "0111" "0111" "02111" "0123" "0111" "01121" "01121" "0111" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01121" "0111" "0111" "01121" "02111" "02211" "01121" "01121" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "01121" "01322" "02121" "02111" "01121" "02121" "01121" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "01121" "02123" "01121" "02213" "02213" "0111" "02211" "01121"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "01121" "01122" "02211" "01121" "02331" "02212" "0111" "0111"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "0111" "0111" "01122" "01122" "0111" "02212" "0111" "01121" "01321"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "0111" "02112" "0121" "01121" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "02331" "0122" "0131" "02221" "02122" "02213" "02111" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "02221" "02211" "02332" "0121" "02111" "02213" "02112"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "02222" "0122" "0223" "02111" "02211" "02332" "02211" "02332"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "02332" "02321" "02222" "02222" "02331" "0131" "0122" "02222" "0131"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02222" "02321" "02213" "02212" "0111" "0131" "02332" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "02332" "02221" "02222" "0223" "02212" "0223" "02222" "0223" "02332"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02221" "02212" "0131" "02211" "02211" "02221" "0223" "0223" "02332"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02221" "02211" "02213" "02222" "02222" "02213" "02222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02222" "02212" "0122" "02212" "0231" "0223" "02213" "02212" "02331"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "02321" "02332" "02332" "02211" "02122" "02213" "02321" "02321"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "02321" "02121" "0123" "02111" "0121" "0121" "0121" "0111" "0111"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "0131" "02112" "02112" "0121" "0121" "0121" "02112" "0121" "0122"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "0122" "0121" "02112" "02221" "0121" "02111" "0121" "0123" "0121"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "0123" "0123" "0121" "0121" "02112" "0121" "0121" "02112" "0121"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "0121" "0121" "02112" "02112" "02112" "02321" "01121" "0123" "02112"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "02112" "0131" "0131" "0121" "02111" "02111" "02122" "0123" "02111"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "0121" "0121" "02112" "02111" "02112" "02112" "0121" "0122" "02112"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "0121" "02111" "0121" "0121" "02121" "02112" "02111" "0121" "0123"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "0121" "02112" "02112" "02112" "0121" "0123" "02111" "02112" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "02112" "0121" "02112" "0121" "02112" "0121" "02112" "02121" "02112"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "0121" "0122" "0123" "02112" "0121" "02112" "0111" "0111" "0111"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "02111" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "02112" "02212" "02121" "0111" "0111" "0111" "02332" "0111" "02111"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "0111" "02111" "02121" "02212" "02222" "02332" "02112"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "02111" "02332" "02112" "0223" "0223" "02121" "0121" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "02111" "02123" "02121" "02212" "02122" "02122" "02333" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "02112" "02212" "02212" "02112" "02221" "02111" "02211" "02331" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "02111" "02121" "02123" "02112" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "02112" "0223" "02123" "0121" "02222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "02333" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "0111" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "0111" "02121" "0223" "02112" "02111" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "02333" "0111" "02122" "02111" "02212" "02122" "02111" "02112" "02111"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "02112" "02122" "0223" "02111" "02111" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "02112" "0121" "02111" "02112" "02111" "02321" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "0123" "0121" "0123" "02121" "0123" "02111" "02112" "02112" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "02112" "02121" "0131" "02122" "02112" "02112" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "0111" "0123" "02122" "02212" "02321" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01321" "02121" "02122" "02112" "02123" "02121" "02331"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "0122" "02123" "02123" "02212" "02212" "02212" "0121" "02112" "0111"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "0121" "02222" "02112"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "02112" "01122" "02111" "02212" "02123" "02222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "02111" "0111" "02112" "02122" "02212" "02213" "02321" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "02321" "02221" "02213" "02211" "02112" "02221" "02112" "02211" "02111"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "0121" "02211" "01122" "02212" "02122" "02211" "02213" "02211" "02331"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "0122" "0122" "02322" "0122" "02213" "0121" "0231" "0122" "02322"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "02322" "02112" "02221" "02221" "02333" "02221" "0121" "02321" "0123"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "01321" "02221" "02122" "0231" "0121" "02221"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "02112" "02211" "02322" "02221" "0231" "02211" "02221" "0111"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02221" "0111" "02112" "02212" "02112" "02213" "02221" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "02112" "02211" "02211" "02112" "02221" "02112" "02221" "02222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "02322" "02211" "02213" "02122" "0223" "0122" "02221" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "02221" "02112" "02122" "02221" "02221" "02112" "02122" "0111"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 519))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "02331" "02333" "02333" "02331" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "02322" "02331" "0122" "0122" "0231" "02221" "02321" "02221"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "02332" "02332" "0231" "02321" "0122" "0231" "02331" "0231" "02321"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "02332" "0223" "0231" "0122" "0122" "02331" "02221" "02332" "02331"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "0122" "0121" "0231" "0231" "0123" "02121" "02221" "011"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02222" "02332" "01321" "0123" "0122" "02221" "02322" "0231" "011"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "02331" "02331" "02332" "02322" "0231" "01321" "02211" "02331" "011"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "011" "011" "02211" "0223" "02213" "02221" "02221" "0223" "02321"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "02322" "02321" "02321" "02211" "0122" "02121" "02221" "011" "01322"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "02321" "0223" "02322" "02332" "0231" "0231" "02332" "0122" "02221"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01321" "02221" "011" "011" "011" "011" "0122" "0122" "0123"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "0121" "0231" "0131" "0131" "0131" "01322" "0231" "0231" "011"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "011" "011" "011" "0121" "011" "011" "011" "0131"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "0131" "011" "0131" "0131" "02321" "01322" "0122" "0123" "02331"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "011" "011" "0131" "011" "011" "011" "0231" "0122" "011"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "011" "0231" "011" "01321" "0131" "02221" "011" "0131" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "0122" "0131" "011" "0131" "0122" "0121" "02211" "011"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "011" "0131" "0223" "011" "011" "02121" "0131" "0131" "0131"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "0122" "0231" "02111" "011" "02331" "011" "0231" "011" "02331"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "0131" "011" "011" "0123" "011" "011" "011" "01322" "0122"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "0131" "011" "02331" "02331" "0122" "01321" "0131" "011" "0123"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "0122" "011" "011" "0131" "0131" "0122" "011" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "0122" "011" "0131" "011" "01321" "0131" "0131" "011" "011"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "0121" "011" "011" "011" "0231" "0131" "02221" "01322"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "011" "0131" "0131" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "011" "011" "011" "0231" "0131" "0231" "011" "011" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "011" "0131" "0231" "011" "011" "0231" "011" "011" "011"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "0121" "0131" "011" "0131" "0121" "0122" "0121" "011" "02331"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01321" "0122" "011" "0122" "011" "0231" "011" "02322" "0131"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "0131" "02321" "0231" "011" "02221" "011" "0131" "0131" "011"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "011" "011" "0131" "0131" "0131" "011" "0122" "011" "011"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "0131" "0131" "0231" "0122" "0122" "0122" "011" "011" "011"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "0122" "0231" "011" "011" "0131" "0123" "0131" "011" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "0131" "0122" "011" "011" "011" "0131" "0131" "011" "011"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "011" "011" "0122" "011" "011" "0131" "011" "011" "0131"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "0131" "0121" "0131" "011" "0122" "011" "011" "011" "0122"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "011" "011" "0231" "011" "0131" "011" "011" "0122" "0131"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02221" "011" "0131" "0131" "0122" "02112" "0122" "0122" "0121"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "0131" "011" "011" "011" "0122" "011" "011" "011" "011"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "0121" "011" "0131" "02322" "011" "011" "0131" "02221"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "0131" "011" "0123" "011" "011" "011" "011" "011" "011"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "011" "011" "011" "01321" "0122" "02331" "011" "0122" "011"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "0131" "0131" "011" "0131" "0131" "0131" "011" "011" "01321"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01322" "011" "0231" "02221" "02221" "02221" "011" "011" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "0131" "02221" "0131" "0131" "0131" "0131" "01321" "0231" "0131"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "0121" "02321" "0131" "02221" "02221" "01321" "0131" "011" "02221"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "0123" "0131" "0231" "011" "011" "0122" "02221"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "0131" "02212" "0231" "0122" "0131" "011" "02221" "02112" "02221"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01321" "0131" "0131" "01321" "011" "02221" "011" "02111" "011"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01321" "011" "02221" "02332" "011" "0223" "02321" "0223" "0131"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01321" "02213" "02211" "011" "02112" "02221" "02322" "02322" "011"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "011" "011" "011" "011" "011" "011" "011" "0231" "0131"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "0122" "0131" "02221" "0131" "0122" "011" "02122" "02221" "0131"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "0131" "0131" "011" "011" "0131" "0122" "01322" "0231" "02221"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "011" "011" "02331" "011" "011" "0122" "011" "011" "011"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "011" "0131" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "02322" "011" "0231" "011" "0131" "0131" "01321" "0121" "011"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "011" "011" "011" "011" "011" "0121" "011" "011" "01321"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "011" "011" "011" "0122" "011" "011" "011" "0131" "011"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "011" "011" "011" "0131" "011" "0121" "0131" "0122" "0131"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "011" "02221" "011" "011" "0231" "0131" "02221" "0123" "011"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "0131" "011" "011" "0131" "02321" "011" "011" "011" "011"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "0121" "011" "0131" "02332" "0122" "011" "011" "011" "011"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "02111" "011" "02121" "02321" "02222" "02112" "02111"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "0131" "0121" "02332" "02221" "02322" "02111" "02331" "02331"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01321" "02111" "0123" "02212" "0223" "0223" "02111" "0123" "02333"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "0122" "02112" "011" "02331" "02112" "02111" "02331" "02111" "02111"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "02331" "011" "0223" "02121" "02122" "02122" "02332" "02333" "02333"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "02321" "02333" "011" "02121" "011" "02111" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "02112" "02112" "0223" "0121" "0223" "02111" "02211" "02331"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "0121" "02111" "02111" "02112" "02122" "0223" "02112" "0223" "011"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "0122" "0122" "02122" "02221" "02121" "0223" "02332" "011" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "02111" "011" "02122" "02123" "02122" "02122" "01322" "02221"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "02111" "0223" "02333" "02112" "011" "0122" "0231" "02112"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "02111" "02221" "02331" "0121" "0122" "02111" "02221" "0122" "02331"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "011" "0223" "02111" "0231" "0121" "02331" "02111" "02112" "02111"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "02333" "02212" "011" "011" "0121" "02333" "0122" "02111" "02111"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "02333" "0121" "02333" "02221" "02111" "0121" "02112" "0121" "02222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "02112" "02331" "02111" "02122" "0122" "0122" "011" "0121" "02111"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "0121" "011" "0121" "02331" "02321" "02121" "02121" "02333" "02111"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "02333" "0121" "0122" "02121" "02111" "0121" "02332" "02332" "02333"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "02332" "02333" "02212" "02333" "0223" "0231" "0122" "011" "02332"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "02112" "011" "02221" "02111" "02211" "02332" "02111" "02111" "0121"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "02332" "02111" "02111" "0121" "011" "0121" "02111" "02221" "0121"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "02111" "0223" "011" "0231" "0121" "0122" "02321" "0121" "011"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "0131" "0123" "0121" "0123" "0131" "01321" "0122" "0131" "0122"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "0121" "011" "0231" "011" "0121" "0121" "0231" "0122" "01321"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "0122" "011" "0131" "0122" "0123" "0121" "02321" "0122" "02222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "0122" "0122" "0121" "02333" "0121" "0123" "0122" "0121" "0121"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "02322" "0131" "0121" "0122" "0121" "0121" "02331" "0122" "011"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "0122" "02332" "0121" "0121" "011" "0121" "0131" "0121" "011"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "02331" "0122" "0131" "0121" "02333" "02331" "02112" "02331" "02111"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "0121" "0121" "02331" "011" "0121" "0121" "02333" "0121" "02322"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "0121" "0122" "02111" "02331" "0122" "0121" "0121" "02331" "0121"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "02112" "0131" "0122" "02112" "0121" "0223" "011" "0231" "02111"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "02112" "02331" "02112" "02123" "0223" "02122" "0121" "02331" "02111"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "02112" "02331" "02111" "0122" "02112" "0131" "02333" "02112" "02331"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "02333" "0121" "02111" "02121" "0223" "02321" "02322" "02333" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "02111" "02333" "0121" "02112" "02112" "02112" "02322" "02333" "0121"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "0123" "02333" "02331" "02112" "02123" "02213" "0121" "0121"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "011" "02213" "0122" "0122" "02321" "0231" "011" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "02111" "02333" "02331" "02112" "02122" "02333" "02111" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "02333" "011" "02111" "02222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "011" "011" "02111" "011" "0223" "02112" "011" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "02333" "02121" "02121" "02111" "011" "0122" "0121"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "011" "011" "011" "02212" "011" "0122" "0122"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "011" "011" "011" "011" "011" "011" "0123" "011" "01321"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "011" "01321" "02321" "011" "0231" "011" "011" "011" "01321"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "011" "011" "02321" "011" "0123" "01321" "011" "02221" "011"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "011" "011" "0122" "01322" "011" "011" "011" "0123" "011"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "0122" "011" "011" "011" "011" "02321" "01321" "011" "02321"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "011" "0122" "01321" "01322" "02221" "0231" "011" "02321" "02221"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "011" "011" "011" "02112" "011" "0223" "011" "02332" "02221"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02221" "02322" "02221" "02222" "01321" "011" "011" "011" "011"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "011" "011" "011" "011" "011" "011" "011" "011"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "011" "011" "0123" "011" "02332" "02221" "02331" "011"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "011" "02221" "02221" "0121" "011" "011" "011" "0121" "011"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02221" "011" "011" "02112" "011" "011" "02111" "02111" "011"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "0131" "0223" "011" "011" "011" "02321" "02111" "011" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "011" "02212" "0121" "02212" "011" "02121" "011" "011"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "0131" "02111" "0131" "02212" "011" "011" "011" "011" "011"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "011" "0131" "011" "011" "02222" "011" "02221" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "011" "011" "0131" "011" "011" "0131" "011"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "011" "011" "011" "011" "011" "02213" "011" "011" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "011" "011" "0223" "0123" "02222" "011" "011" "0131" "011"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "011" "011" "02112" "02213" "0131" "02112" "011" "0131" "011"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "011" "0121" "011" "0122" "011" "02111" "011" "02122" "011"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "011" "0122" "02111" "011" "01321" "02121" "011" "011"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "011" "02111" "011" "011" "0131" "011" "011" "02111" "02111"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "011" "011" "02321" "011" "011" "02111" "02123" "0231" "011"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "011" "011" "02111" "0123" "011" "011" "011" "011" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "011" "011" "011" "011" "02111" "02211" "011" "011" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "011" "01322" "02121" "02111" "011" "02121" "011" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "011" "02123" "011" "02213" "02213" "011" "02211" "011"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "011" "011" "02211" "011" "02331" "02212" "011" "011"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "011" "011" "011" "011" "011" "02212" "011" "011" "01321"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "011" "02112" "0121" "011" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "02331" "0122" "0131" "02221" "02122" "02213" "02111" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "02221" "02211" "02332" "0121" "02111" "02213" "02112"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "02222" "0122" "0223" "02111" "02211" "02332" "02211" "02332"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "02332" "02321" "02222" "02222" "02331" "0131" "0122" "02222" "0131"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02222" "02321" "02213" "02212" "011" "0131" "02332" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "02332" "02221" "02222" "0223" "02212" "0223" "02222" "0223" "02332"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02221" "02212" "0131" "02211" "02211" "02221" "0223" "0223" "02332"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02221" "02211" "02213" "02222" "02222" "02213" "02222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02222" "02212" "0122" "02212" "0231" "0223" "02213" "02212" "02331"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "02321" "02332" "02332" "02211" "02122" "02213" "02321" "02321"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "02321" "02121" "0123" "02111" "0121" "0121" "0121" "011" "011"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "0131" "02112" "02112" "0121" "0121" "0121" "02112" "0121" "0122"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "0122" "0121" "02112" "02221" "0121" "02111" "0121" "0123" "0121"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "0123" "0123" "0121" "0121" "02112" "0121" "0121" "02112" "0121"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "0121" "0121" "02112" "02112" "02112" "02321" "011" "0123" "02112"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "02112" "0131" "0131" "0121" "02111" "02111" "02122" "0123" "02111"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "0121" "0121" "02112" "02111" "02112" "02112" "0121" "0122" "02112"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "0121" "02111" "0121" "0121" "02121" "02112" "02111" "0121" "0123"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "0121" "02112" "02112" "02112" "0121" "0123" "02111" "02112" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "02112" "0121" "02112" "0121" "02112" "0121" "02112" "02121" "02112"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "0121" "0122" "0123" "02112" "0121" "02112" "011" "011" "011"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "02111" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "02112" "02212" "02121" "011" "011" "011" "02332" "011" "02111"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "011" "02111" "02121" "02212" "02222" "02332" "02112"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "02111" "02332" "02112" "0223" "0223" "02121" "0121" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "02111" "02123" "02121" "02212" "02122" "02122" "02333" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "02112" "02212" "02212" "02112" "02221" "02111" "02211" "02331" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "02111" "02121" "02123" "02112" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "02112" "0223" "02123" "0121" "02222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "02333" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "011" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "011" "02121" "0223" "02112" "02111" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "02333" "011" "02122" "02111" "02212" "02122" "02111" "02112" "02111"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "02112" "02122" "0223" "02111" "02111" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "02112" "0121" "02111" "02112" "02111" "02321" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "0123" "0121" "0123" "02121" "0123" "02111" "02112" "02112" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "02112" "02121" "0131" "02122" "02112" "02112" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "011" "0123" "02122" "02212" "02321" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01321" "02121" "02122" "02112" "02123" "02121" "02331"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "0122" "02123" "02123" "02212" "02212" "02212" "0121" "02112" "011"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "0121" "02222" "02112"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "02112" "011" "02111" "02212" "02123" "02222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "02111" "011" "02112" "02122" "02212" "02213" "02321" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "02321" "02221" "02213" "02211" "02112" "02221" "02112" "02211" "02111"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "0121" "02211" "011" "02212" "02122" "02211" "02213" "02211" "02331"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "0122" "0122" "02322" "0122" "02213" "0121" "0231" "0122" "02322"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "02322" "02112" "02221" "02221" "02333" "02221" "0121" "02321" "0123"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "01321" "02221" "02122" "0231" "0121" "02221"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "02112" "02211" "02322" "02221" "0231" "02211" "02221" "011"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02221" "011" "02112" "02212" "02112" "02213" "02221" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "02112" "02211" "02211" "02112" "02221" "02112" "02221" "02222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "02322" "02211" "02213" "02122" "0223" "0122" "02221" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "02221" "02112" "02122" "02221" "02221" "02112" "02122" "011"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 644))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "02331" "02333" "02333" "02331" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "02322" "02331" "0122" "0122" "0231" "02221" "02321" "02221"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "02332" "02332" "0231" "02321" "0122" "0231" "02331" "0231" "02321"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "02332" "0223" "0231" "0122" "0122" "02331" "02221" "02332" "02331"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "0122" "0121" "0231" "0231" "0123" "02121" "02221" "011"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02222" "02332" "01321" "0123" "0122" "02221" "02322" "0231" "011"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "02331" "02331" "02332" "02322" "0231" "01321" "02211" "02331" "011"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "011" "011" "02211" "0223" "02213" "02221" "02221" "0223" "02321"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "02322" "02321" "02321" "02211" "0122" "02121" "02221" "011" "01322"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "02321" "0223" "02322" "02332" "0231" "0231" "02332" "0122" "02221"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01321" "02221" "011" "011" "011" "011" "0122" "0122" "0123"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "0121" "0231" "0131" "0131" "0131" "01322" "0231" "0231" "011"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "011" "011" "011" "0121" "011" "011" "011" "0131"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "0131" "011" "0131" "0131" "02321" "01322" "0122" "0123" "02331"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "011" "011" "0131" "011" "011" "011" "0231" "0122" "011"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "011" "0231" "011" "01321" "0131" "02221" "011" "0131" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "0122" "0131" "011" "0131" "0122" "0121" "02211" "011"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "011" "0131" "0223" "011" "011" "02121" "0131" "0131" "0131"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "0122" "0231" "0211" "011" "02331" "011" "0231" "011" "02331"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "0131" "011" "011" "0123" "011" "011" "011" "01322" "0122"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "0131" "011" "02331" "02331" "0122" "01321" "0131" "011" "0123"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "0122" "011" "011" "0131" "0131" "0122" "011" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "0122" "011" "0131" "011" "01321" "0131" "0131" "011" "011"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "0121" "011" "011" "011" "0231" "0131" "02221" "01322"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "011" "0131" "0131" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "011" "011" "011" "0231" "0131" "0231" "011" "011" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "011" "0131" "0231" "011" "011" "0231" "011" "011" "011"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "0121" "0131" "011" "0131" "0121" "0122" "0121" "011" "02331"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01321" "0122" "011" "0122" "011" "0231" "011" "02322" "0131"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "0131" "02321" "0231" "011" "02221" "011" "0131" "0131" "011"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "011" "011" "0131" "0131" "0131" "011" "0122" "011" "011"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "0131" "0131" "0231" "0122" "0122" "0122" "011" "011" "011"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "0122" "0231" "011" "011" "0131" "0123" "0131" "011" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "0131" "0122" "011" "011" "011" "0131" "0131" "011" "011"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "011" "011" "0122" "011" "011" "0131" "011" "011" "0131"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "0131" "0121" "0131" "011" "0122" "011" "011" "011" "0122"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "011" "011" "0231" "011" "0131" "011" "011" "0122" "0131"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02221" "011" "0131" "0131" "0122" "0211" "0122" "0122" "0121"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "0131" "011" "011" "011" "0122" "011" "011" "011" "011"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "0121" "011" "0131" "02322" "011" "011" "0131" "02221"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "0131" "011" "0123" "011" "011" "011" "011" "011" "011"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "011" "011" "011" "01321" "0122" "02331" "011" "0122" "011"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "0131" "0131" "011" "0131" "0131" "0131" "011" "011" "01321"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01322" "011" "0231" "02221" "02221" "02221" "011" "011" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "0131" "02221" "0131" "0131" "0131" "0131" "01321" "0231" "0131"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "0121" "02321" "0131" "02221" "02221" "01321" "0131" "011" "02221"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "0123" "0131" "0231" "011" "011" "0122" "02221"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "0131" "02212" "0231" "0122" "0131" "011" "02221" "0211" "02221"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01321" "0131" "0131" "01321" "011" "02221" "011" "0211" "011"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01321" "011" "02221" "02332" "011" "0223" "02321" "0223" "0131"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01321" "02213" "02211" "011" "0211" "02221" "02322" "02322" "011"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "011" "011" "011" "011" "011" "011" "011" "0231" "0131"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "0122" "0131" "02221" "0131" "0122" "011" "02122" "02221" "0131"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "0131" "0131" "011" "011" "0131" "0122" "01322" "0231" "02221"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "011" "011" "02331" "011" "011" "0122" "011" "011" "011"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "011" "0131" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "02322" "011" "0231" "011" "0131" "0131" "01321" "0121" "011"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "011" "011" "011" "011" "011" "0121" "011" "011" "01321"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "011" "011" "011" "0122" "011" "011" "011" "0131" "011"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "011" "011" "011" "0131" "011" "0121" "0131" "0122" "0131"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "011" "02221" "011" "011" "0231" "0131" "02221" "0123" "011"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "0131" "011" "011" "0131" "02321" "011" "011" "011" "011"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "0121" "011" "0131" "02332" "0122" "011" "011" "011" "011"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "0211" "011" "02121" "02321" "02222" "0211" "0211"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "0131" "0121" "02332" "02221" "02322" "0211" "02331" "02331"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01321" "0211" "0123" "02212" "0223" "0223" "0211" "0123" "02333"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "0122" "0211" "011" "02331" "0211" "0211" "02331" "0211" "0211"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "02331" "011" "0223" "02121" "02122" "02122" "02332" "02333" "02333"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "02321" "02333" "011" "02121" "011" "0211" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "0211" "0211" "0223" "0121" "0223" "0211" "02211" "02331"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "0121" "0211" "0211" "0211" "02122" "0223" "0211" "0223" "011"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "0122" "0122" "02122" "02221" "02121" "0223" "02332" "011" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "0211" "011" "02122" "02123" "02122" "02122" "01322" "02221"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "0211" "0223" "02333" "0211" "011" "0122" "0231" "0211"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "0211" "02221" "02331" "0121" "0122" "0211" "02221" "0122" "02331"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "011" "0223" "0211" "0231" "0121" "02331" "0211" "0211" "0211"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "02333" "02212" "011" "011" "0121" "02333" "0122" "0211" "0211"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "02333" "0121" "02333" "02221" "0211" "0121" "0211" "0121" "02222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "0211" "02331" "0211" "02122" "0122" "0122" "011" "0121" "0211"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "0121" "011" "0121" "02331" "02321" "02121" "02121" "02333" "0211"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "02333" "0121" "0122" "02121" "0211" "0121" "02332" "02332" "02333"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "02332" "02333" "02212" "02333" "0223" "0231" "0122" "011" "02332"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "0211" "011" "02221" "0211" "02211" "02332" "0211" "0211" "0121"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "02332" "0211" "0211" "0121" "011" "0121" "0211" "02221" "0121"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "0211" "0223" "011" "0231" "0121" "0122" "02321" "0121" "011"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "0131" "0123" "0121" "0123" "0131" "01321" "0122" "0131" "0122"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "0121" "011" "0231" "011" "0121" "0121" "0231" "0122" "01321"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "0122" "011" "0131" "0122" "0123" "0121" "02321" "0122" "02222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "0122" "0122" "0121" "02333" "0121" "0123" "0122" "0121" "0121"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "02322" "0131" "0121" "0122" "0121" "0121" "02331" "0122" "011"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "0122" "02332" "0121" "0121" "011" "0121" "0131" "0121" "011"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "02331" "0122" "0131" "0121" "02333" "02331" "0211" "02331" "0211"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "0121" "0121" "02331" "011" "0121" "0121" "02333" "0121" "02322"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "0121" "0122" "0211" "02331" "0122" "0121" "0121" "02331" "0121"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "0211" "0131" "0122" "0211" "0121" "0223" "011" "0231" "0211"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "0211" "02331" "0211" "02123" "0223" "02122" "0121" "02331" "0211"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "0211" "02331" "0211" "0122" "0211" "0131" "02333" "0211" "02331"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "02333" "0121" "0211" "02121" "0223" "02321" "02322" "02333" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "0211" "02333" "0121" "0211" "0211" "0211" "02322" "02333" "0121"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "0123" "02333" "02331" "0211" "02123" "02213" "0121" "0121"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "011" "02213" "0122" "0122" "02321" "0231" "011" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "0211" "02333" "02331" "0211" "02122" "02333" "0211" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "02333" "011" "0211" "02222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "011" "011" "0211" "011" "0223" "0211" "011" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "02333" "02121" "02121" "0211" "011" "0122" "0121"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "011" "011" "011" "02212" "011" "0122" "0122"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "011" "011" "011" "011" "011" "011" "0123" "011" "01321"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "011" "01321" "02321" "011" "0231" "011" "011" "011" "01321"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "011" "011" "02321" "011" "0123" "01321" "011" "02221" "011"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "011" "011" "0122" "01322" "011" "011" "011" "0123" "011"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "0122" "011" "011" "011" "011" "02321" "01321" "011" "02321"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "011" "0122" "01321" "01322" "02221" "0231" "011" "02321" "02221"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "011" "011" "011" "0211" "011" "0223" "011" "02332" "02221"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02221" "02322" "02221" "02222" "01321" "011" "011" "011" "011"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "011" "011" "011" "011" "011" "011" "011" "011"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "011" "011" "0123" "011" "02332" "02221" "02331" "011"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "011" "02221" "02221" "0121" "011" "011" "011" "0121" "011"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02221" "011" "011" "0211" "011" "011" "0211" "0211" "011"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "0131" "0223" "011" "011" "011" "02321" "0211" "011" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "011" "02212" "0121" "02212" "011" "02121" "011" "011"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "0131" "0211" "0131" "02212" "011" "011" "011" "011" "011"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "011" "0131" "011" "011" "02222" "011" "02221" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "011" "011" "0131" "011" "011" "0131" "011"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "011" "011" "011" "011" "011" "02213" "011" "011" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "011" "011" "0223" "0123" "02222" "011" "011" "0131" "011"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "011" "011" "0211" "02213" "0131" "0211" "011" "0131" "011"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "011" "0121" "011" "0122" "011" "0211" "011" "02122" "011"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "011" "0122" "0211" "011" "01321" "02121" "011" "011"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "011" "0211" "011" "011" "0131" "011" "011" "0211" "0211"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "011" "011" "02321" "011" "011" "0211" "02123" "0231" "011"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "011" "011" "0211" "0123" "011" "011" "011" "011" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "011" "011" "011" "011" "0211" "02211" "011" "011" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "011" "01322" "02121" "0211" "011" "02121" "011" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "011" "02123" "011" "02213" "02213" "011" "02211" "011"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "011" "011" "02211" "011" "02331" "02212" "011" "011"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "011" "011" "011" "011" "011" "02212" "011" "011" "01321"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "011" "0211" "0121" "011" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "02331" "0122" "0131" "02221" "02122" "02213" "0211" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "02221" "02211" "02332" "0121" "0211" "02213" "0211"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "02222" "0122" "0223" "0211" "02211" "02332" "02211" "02332"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "02332" "02321" "02222" "02222" "02331" "0131" "0122" "02222" "0131"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02222" "02321" "02213" "02212" "011" "0131" "02332" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "02332" "02221" "02222" "0223" "02212" "0223" "02222" "0223" "02332"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02221" "02212" "0131" "02211" "02211" "02221" "0223" "0223" "02332"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02221" "02211" "02213" "02222" "02222" "02213" "02222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02222" "02212" "0122" "02212" "0231" "0223" "02213" "02212" "02331"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "02321" "02332" "02332" "02211" "02122" "02213" "02321" "02321"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "02321" "02121" "0123" "0211" "0121" "0121" "0121" "011" "011"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "0131" "0211" "0211" "0121" "0121" "0121" "0211" "0121" "0122"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "0122" "0121" "0211" "02221" "0121" "0211" "0121" "0123" "0121"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "0123" "0123" "0121" "0121" "0211" "0121" "0121" "0211" "0121"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "0121" "0121" "0211" "0211" "0211" "02321" "011" "0123" "0211"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "0211" "0131" "0131" "0121" "0211" "0211" "02122" "0123" "0211"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "0121" "0121" "0211" "0211" "0211" "0211" "0121" "0122" "0211"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "0121" "0211" "0121" "0121" "02121" "0211" "0211" "0121" "0123"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "0121" "0211" "0211" "0211" "0121" "0123" "0211" "0211" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "0211" "0121" "0211" "0121" "0211" "0121" "0211" "02121" "0211"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "0121" "0122" "0123" "0211" "0121" "0211" "011" "011" "011"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "0211" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "0211" "02212" "02121" "011" "011" "011" "02332" "011" "0211"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "011" "0211" "02121" "02212" "02222" "02332" "0211"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "0211" "02332" "0211" "0223" "0223" "02121" "0121" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "0211" "02123" "02121" "02212" "02122" "02122" "02333" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "0211" "02212" "02212" "0211" "02221" "0211" "02211" "02331" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "0211" "02121" "02123" "0211" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "0211" "0223" "02123" "0121" "02222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "02333" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "011" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "011" "02121" "0223" "0211" "0211" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "02333" "011" "02122" "0211" "02212" "02122" "0211" "0211" "0211"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "0211" "02122" "0223" "0211" "0211" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "0211" "0121" "0211" "0211" "0211" "02321" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "0123" "0121" "0123" "02121" "0123" "0211" "0211" "0211" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "0211" "02121" "0131" "02122" "0211" "0211" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "011" "0123" "02122" "02212" "02321" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01321" "02121" "02122" "0211" "02123" "02121" "02331"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "0122" "02123" "02123" "02212" "02212" "02212" "0121" "0211" "011"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "0121" "02222" "0211"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "0211" "011" "0211" "02212" "02123" "02222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "0211" "011" "0211" "02122" "02212" "02213" "02321" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "02321" "02221" "02213" "02211" "0211" "02221" "0211" "02211" "0211"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "0121" "02211" "011" "02212" "02122" "02211" "02213" "02211" "02331"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "0122" "0122" "02322" "0122" "02213" "0121" "0231" "0122" "02322"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "02322" "0211" "02221" "02221" "02333" "02221" "0121" "02321" "0123"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "01321" "02221" "02122" "0231" "0121" "02221"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "0211" "02211" "02322" "02221" "0231" "02211" "02221" "011"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02221" "011" "0211" "02212" "0211" "02213" "02221" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "0211" "02211" "02211" "0211" "02221" "0211" "02221" "02222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "02322" "02211" "02213" "02122" "0223" "0122" "02221" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "02221" "0211" "02122" "02221" "02221" "0211" "02122" "011"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 671))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "02322" "0233" "0122" "0122" "0231" "02221" "02321" "02221"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "02321" "0122" "0231" "0233" "0231" "02321"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "0122" "0122" "0233" "02221" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "0122" "0121" "0231" "0231" "0123" "02121" "02221" "011"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02222" "0233" "01321" "0123" "0122" "02221" "02322" "0231" "011"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "02322" "0231" "01321" "02211" "0233" "011"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "011" "011" "02211" "0223" "02213" "02221" "02221" "0223" "02321"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "02322" "02321" "02321" "02211" "0122" "02121" "02221" "011" "01322"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "02321" "0223" "02322" "0233" "0231" "0231" "0233" "0122" "02221"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01321" "02221" "011" "011" "011" "011" "0122" "0122" "0123"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "0121" "0231" "0131" "0131" "0131" "01322" "0231" "0231" "011"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "011" "011" "011" "0121" "011" "011" "011" "0131"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "0131" "011" "0131" "0131" "02321" "01322" "0122" "0123" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "011" "011" "0131" "011" "011" "011" "0231" "0122" "011"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "011" "0231" "011" "01321" "0131" "02221" "011" "0131" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "0122" "0131" "011" "0131" "0122" "0121" "02211" "011"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "011" "0131" "0223" "011" "011" "02121" "0131" "0131" "0131"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "0122" "0231" "0211" "011" "0233" "011" "0231" "011" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "0131" "011" "011" "0123" "011" "011" "011" "01322" "0122"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "0131" "011" "0233" "0233" "0122" "01321" "0131" "011" "0123"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "0122" "011" "011" "0131" "0131" "0122" "011" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "0122" "011" "0131" "011" "01321" "0131" "0131" "011" "011"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "0121" "011" "011" "011" "0231" "0131" "02221" "01322"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "011" "0131" "0131" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "011" "011" "011" "0231" "0131" "0231" "011" "011" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "011" "0131" "0231" "011" "011" "0231" "011" "011" "011"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "0121" "0131" "011" "0131" "0121" "0122" "0121" "011" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01321" "0122" "011" "0122" "011" "0231" "011" "02322" "0131"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "0131" "02321" "0231" "011" "02221" "011" "0131" "0131" "011"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "011" "011" "0131" "0131" "0131" "011" "0122" "011" "011"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "0131" "0131" "0231" "0122" "0122" "0122" "011" "011" "011"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "0122" "0231" "011" "011" "0131" "0123" "0131" "011" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "0131" "0122" "011" "011" "011" "0131" "0131" "011" "011"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "011" "011" "0122" "011" "011" "0131" "011" "011" "0131"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "0131" "0121" "0131" "011" "0122" "011" "011" "011" "0122"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "011" "011" "0231" "011" "0131" "011" "011" "0122" "0131"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02221" "011" "0131" "0131" "0122" "0211" "0122" "0122" "0121"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "0131" "011" "011" "011" "0122" "011" "011" "011" "011"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "0121" "011" "0131" "02322" "011" "011" "0131" "02221"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "0131" "011" "0123" "011" "011" "011" "011" "011" "011"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "011" "011" "011" "01321" "0122" "0233" "011" "0122" "011"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "0131" "0131" "011" "0131" "0131" "0131" "011" "011" "01321"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01322" "011" "0231" "02221" "02221" "02221" "011" "011" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "0131" "02221" "0131" "0131" "0131" "0131" "01321" "0231" "0131"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "0121" "02321" "0131" "02221" "02221" "01321" "0131" "011" "02221"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "0123" "0131" "0231" "011" "011" "0122" "02221"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "0131" "02212" "0231" "0122" "0131" "011" "02221" "0211" "02221"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01321" "0131" "0131" "01321" "011" "02221" "011" "0211" "011"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01321" "011" "02221" "0233" "011" "0223" "02321" "0223" "0131"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01321" "02213" "02211" "011" "0211" "02221" "02322" "02322" "011"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "011" "011" "011" "011" "011" "011" "011" "0231" "0131"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "0122" "0131" "02221" "0131" "0122" "011" "02122" "02221" "0131"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "0131" "0131" "011" "011" "0131" "0122" "01322" "0231" "02221"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "011" "011" "0233" "011" "011" "0122" "011" "011" "011"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "011" "0131" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "02322" "011" "0231" "011" "0131" "0131" "01321" "0121" "011"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "011" "011" "011" "011" "011" "0121" "011" "011" "01321"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "011" "011" "011" "0122" "011" "011" "011" "0131" "011"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "011" "011" "011" "0131" "011" "0121" "0131" "0122" "0131"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "011" "02221" "011" "011" "0231" "0131" "02221" "0123" "011"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "0131" "011" "011" "0131" "02321" "011" "011" "011" "011"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "0121" "011" "0131" "0233" "0122" "011" "011" "011" "011"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "0211" "011" "02121" "02321" "02222" "0211" "0211"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "0131" "0121" "0233" "02221" "02322" "0211" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01321" "0211" "0123" "02212" "0223" "0223" "0211" "0123" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "0122" "0211" "011" "0233" "0211" "0211" "0233" "0211" "0211"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "011" "0223" "02121" "02122" "02122" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "02321" "0233" "011" "02121" "011" "0211" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "0211" "0211" "0223" "0121" "0223" "0211" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "0121" "0211" "0211" "0211" "02122" "0223" "0211" "0223" "011"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "0122" "0122" "02122" "02221" "02121" "0223" "0233" "011" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "0211" "011" "02122" "02123" "02122" "02122" "01322" "02221"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "0211" "0223" "0233" "0211" "011" "0122" "0231" "0211"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "0211" "02221" "0233" "0121" "0122" "0211" "02221" "0122" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "011" "0223" "0211" "0231" "0121" "0233" "0211" "0211" "0211"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "011" "011" "0121" "0233" "0122" "0211" "0211"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "0121" "0233" "02221" "0211" "0121" "0211" "0121" "02222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "0211" "0233" "0211" "02122" "0122" "0122" "011" "0121" "0211"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "0121" "011" "0121" "0233" "02321" "02121" "02121" "0233" "0211"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "0121" "0122" "02121" "0211" "0121" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "0122" "011" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "0211" "011" "02221" "0211" "02211" "0233" "0211" "0211" "0121"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "0211" "0211" "0121" "011" "0121" "0211" "02221" "0121"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "0211" "0223" "011" "0231" "0121" "0122" "02321" "0121" "011"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "0131" "0123" "0121" "0123" "0131" "01321" "0122" "0131" "0122"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "0121" "011" "0231" "011" "0121" "0121" "0231" "0122" "01321"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "0122" "011" "0131" "0122" "0123" "0121" "02321" "0122" "02222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "0122" "0122" "0121" "0233" "0121" "0123" "0122" "0121" "0121"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "02322" "0131" "0121" "0122" "0121" "0121" "0233" "0122" "011"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "0122" "0233" "0121" "0121" "011" "0121" "0131" "0121" "011"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "0122" "0131" "0121" "0233" "0233" "0211" "0233" "0211"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "0121" "0121" "0233" "011" "0121" "0121" "0233" "0121" "02322"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "0121" "0122" "0211" "0233" "0122" "0121" "0121" "0233" "0121"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "0211" "0131" "0122" "0211" "0121" "0223" "011" "0231" "0211"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "0211" "0233" "0211" "02123" "0223" "02122" "0121" "0233" "0211"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "0211" "0233" "0211" "0122" "0211" "0131" "0233" "0211" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "0121" "0211" "02121" "0223" "02321" "02322" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "0211" "0233" "0121" "0211" "0211" "0211" "02322" "0233" "0121"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "0123" "0233" "0233" "0211" "02123" "02213" "0121" "0121"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "011" "02213" "0122" "0122" "02321" "0231" "011" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "0211" "0233" "0233" "0211" "02122" "0233" "0211" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "011" "0211" "02222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "011" "011" "0211" "011" "0223" "0211" "011" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "0233" "02121" "02121" "0211" "011" "0122" "0121"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "011" "011" "011" "02212" "011" "0122" "0122"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "011" "011" "011" "011" "011" "011" "0123" "011" "01321"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "011" "01321" "02321" "011" "0231" "011" "011" "011" "01321"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "011" "011" "02321" "011" "0123" "01321" "011" "02221" "011"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "011" "011" "0122" "01322" "011" "011" "011" "0123" "011"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "0122" "011" "011" "011" "011" "02321" "01321" "011" "02321"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "011" "0122" "01321" "01322" "02221" "0231" "011" "02321" "02221"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "011" "011" "011" "0211" "011" "0223" "011" "0233" "02221"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02221" "02322" "02221" "02222" "01321" "011" "011" "011" "011"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "011" "011" "011" "011" "011" "011" "011" "011"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "011" "011" "0123" "011" "0233" "02221" "0233" "011"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "011" "02221" "02221" "0121" "011" "011" "011" "0121" "011"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02221" "011" "011" "0211" "011" "011" "0211" "0211" "011"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "0131" "0223" "011" "011" "011" "02321" "0211" "011" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "011" "02212" "0121" "02212" "011" "02121" "011" "011"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "0131" "0211" "0131" "02212" "011" "011" "011" "011" "011"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "011" "0131" "011" "011" "02222" "011" "02221" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "011" "011" "0131" "011" "011" "0131" "011"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "011" "011" "011" "011" "011" "02213" "011" "011" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "011" "011" "0223" "0123" "02222" "011" "011" "0131" "011"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "011" "011" "0211" "02213" "0131" "0211" "011" "0131" "011"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "011" "0121" "011" "0122" "011" "0211" "011" "02122" "011"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "011" "0122" "0211" "011" "01321" "02121" "011" "011"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "011" "0211" "011" "011" "0131" "011" "011" "0211" "0211"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "011" "011" "02321" "011" "011" "0211" "02123" "0231" "011"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "011" "011" "0211" "0123" "011" "011" "011" "011" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "011" "011" "011" "011" "0211" "02211" "011" "011" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "011" "01322" "02121" "0211" "011" "02121" "011" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "011" "02123" "011" "02213" "02213" "011" "02211" "011"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "011" "011" "02211" "011" "0233" "02212" "011" "011"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "011" "011" "011" "011" "011" "02212" "011" "011" "01321"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "011" "0211" "0121" "011" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "0122" "0131" "02221" "02122" "02213" "0211" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "02221" "02211" "0233" "0121" "0211" "02213" "0211"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "02222" "0122" "0223" "0211" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "02321" "02222" "02222" "0233" "0131" "0122" "02222" "0131"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02222" "02321" "02213" "02212" "011" "0131" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "02221" "02222" "0223" "02212" "0223" "02222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02221" "02212" "0131" "02211" "02211" "02221" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02221" "02211" "02213" "02222" "02222" "02213" "02222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02222" "02212" "0122" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "02321" "0233" "0233" "02211" "02122" "02213" "02321" "02321"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "02321" "02121" "0123" "0211" "0121" "0121" "0121" "011" "011"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "0131" "0211" "0211" "0121" "0121" "0121" "0211" "0121" "0122"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "0122" "0121" "0211" "02221" "0121" "0211" "0121" "0123" "0121"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "0123" "0123" "0121" "0121" "0211" "0121" "0121" "0211" "0121"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "0121" "0121" "0211" "0211" "0211" "02321" "011" "0123" "0211"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "0211" "0131" "0131" "0121" "0211" "0211" "02122" "0123" "0211"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "0121" "0121" "0211" "0211" "0211" "0211" "0121" "0122" "0211"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "0121" "0211" "0121" "0121" "02121" "0211" "0211" "0121" "0123"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "0121" "0211" "0211" "0211" "0121" "0123" "0211" "0211" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "0211" "0121" "0211" "0121" "0211" "0121" "0211" "02121" "0211"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "0121" "0122" "0123" "0211" "0121" "0211" "011" "011" "011"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "0211" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "0211" "02212" "02121" "011" "011" "011" "0233" "011" "0211"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "011" "0211" "02121" "02212" "02222" "0233" "0211"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "0211" "0233" "0211" "0223" "0223" "02121" "0121" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "0211" "02123" "02121" "02212" "02122" "02122" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "0211" "02212" "02212" "0211" "02221" "0211" "02211" "0233" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "0211" "02121" "02123" "0211" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "0211" "0223" "02123" "0121" "02222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "0233" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "011" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "011" "02121" "0223" "0211" "0211" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "011" "02122" "0211" "02212" "02122" "0211" "0211" "0211"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "0211" "02122" "0223" "0211" "0211" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "0211" "0121" "0211" "0211" "0211" "02321" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "0123" "0121" "0123" "02121" "0123" "0211" "0211" "0211" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "0211" "02121" "0131" "02122" "0211" "0211" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "011" "0123" "02122" "02212" "02321" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01321" "02121" "02122" "0211" "02123" "02121" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "0122" "02123" "02123" "02212" "02212" "02212" "0121" "0211" "011"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "0121" "02222" "0211"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "0211" "011" "0211" "02212" "02123" "02222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "0211" "011" "0211" "02122" "02212" "02213" "02321" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "02321" "02221" "02213" "02211" "0211" "02221" "0211" "02211" "0211"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "0121" "02211" "011" "02212" "02122" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "0122" "0122" "02322" "0122" "02213" "0121" "0231" "0122" "02322"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "02322" "0211" "02221" "02221" "0233" "02221" "0121" "02321" "0123"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "01321" "02221" "02122" "0231" "0121" "02221"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "0211" "02211" "02322" "02221" "0231" "02211" "02221" "011"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02221" "011" "0211" "02212" "0211" "02213" "02221" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "0211" "02211" "02211" "0211" "02221" "0211" "02221" "02222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "02322" "02211" "02213" "02122" "0223" "0122" "02221" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "02221" "0211" "02122" "02221" "02221" "0211" "02122" "011"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 715))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "02322" "0233" "0122" "0122" "0231" "02221" "02321" "02221"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "02321" "0122" "0231" "0233" "0231" "02321"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "0122" "0122" "0233" "02221" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "0122" "0121" "0231" "0231" "0123" "02121" "02221" "011"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02222" "0233" "013" "0123" "0122" "02221" "02322" "0231" "011"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "02322" "0231" "013" "02211" "0233" "011"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "011" "011" "02211" "0223" "02213" "02221" "02221" "0223" "02321"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "02322" "02321" "02321" "02211" "0122" "02121" "02221" "011" "013"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "02321" "0223" "02322" "0233" "0231" "0231" "0233" "0122" "02221"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "013" "02221" "011" "011" "011" "011" "0122" "0122" "0123"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "0121" "0231" "013" "013" "013" "013" "0231" "0231" "011"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "011" "011" "011" "0121" "011" "011" "011" "013"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "013" "011" "013" "013" "02321" "013" "0122" "0123" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "011" "011" "013" "011" "011" "011" "0231" "0122" "011"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "011" "0231" "011" "013" "013" "02221" "011" "013" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "0122" "013" "011" "013" "0122" "0121" "02211" "011"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "011" "013" "0223" "011" "011" "02121" "013" "013" "013"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "0122" "0231" "0211" "011" "0233" "011" "0231" "011" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "013" "011" "011" "0123" "011" "011" "011" "013" "0122"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "013" "011" "0233" "0233" "0122" "013" "013" "011" "0123"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "0122" "011" "011" "013" "013" "0122" "011" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "0122" "011" "013" "011" "013" "013" "013" "011" "011"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "0121" "011" "011" "011" "0231" "013" "02221" "013"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "011" "013" "013" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "011" "011" "011" "0231" "013" "0231" "011" "011" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "011" "013" "0231" "011" "011" "0231" "011" "011" "011"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "0121" "013" "011" "013" "0121" "0122" "0121" "011" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "013" "0122" "011" "0122" "011" "0231" "011" "02322" "013"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "013" "02321" "0231" "011" "02221" "011" "013" "013" "011"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "011" "011" "013" "013" "013" "011" "0122" "011" "011"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "013" "013" "0231" "0122" "0122" "0122" "011" "011" "011"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "0122" "0231" "011" "011" "013" "0123" "013" "011" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "013" "0122" "011" "011" "011" "013" "013" "011" "011"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "011" "011" "0122" "011" "011" "013" "011" "011" "013"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "013" "0121" "013" "011" "0122" "011" "011" "011" "0122"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "011" "011" "0231" "011" "013" "011" "011" "0122" "013"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02221" "011" "013" "013" "0122" "0211" "0122" "0122" "0121"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "013" "011" "011" "011" "0122" "011" "011" "011" "011"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "0121" "011" "013" "02322" "011" "011" "013" "02221"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "013" "011" "0123" "011" "011" "011" "011" "011" "011"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "011" "011" "011" "013" "0122" "0233" "011" "0122" "011"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "013" "013" "011" "013" "013" "013" "011" "011" "013"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "013" "011" "0231" "02221" "02221" "02221" "011" "011" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "013" "02221" "013" "013" "013" "013" "013" "0231" "013"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "0121" "02321" "013" "02221" "02221" "013" "013" "011" "02221"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "0123" "013" "0231" "011" "011" "0122" "02221"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "013" "02212" "0231" "0122" "013" "011" "02221" "0211" "02221"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "013" "013" "013" "013" "011" "02221" "011" "0211" "011"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "013" "011" "02221" "0233" "011" "0223" "02321" "0223" "013"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "013" "02213" "02211" "011" "0211" "02221" "02322" "02322" "011"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "011" "011" "011" "011" "011" "011" "011" "0231" "013"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "0122" "013" "02221" "013" "0122" "011" "02122" "02221" "013"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "013" "013" "011" "011" "013" "0122" "013" "0231" "02221"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "011" "011" "0233" "011" "011" "0122" "011" "011" "011"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "011" "013" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "02322" "011" "0231" "011" "013" "013" "013" "0121" "011"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "011" "011" "011" "011" "011" "0121" "011" "011" "013"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "011" "011" "011" "0122" "011" "011" "011" "013" "011"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "011" "011" "011" "013" "011" "0121" "013" "0122" "013"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "011" "02221" "011" "011" "0231" "013" "02221" "0123" "011"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "013" "011" "011" "013" "02321" "011" "011" "011" "011"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "0121" "011" "013" "0233" "0122" "011" "011" "011" "011"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "0211" "011" "02121" "02321" "02222" "0211" "0211"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "013" "0121" "0233" "02221" "02322" "0211" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "013" "0211" "0123" "02212" "0223" "0223" "0211" "0123" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "0122" "0211" "011" "0233" "0211" "0211" "0233" "0211" "0211"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "011" "0223" "02121" "02122" "02122" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "02321" "0233" "011" "02121" "011" "0211" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "0211" "0211" "0223" "0121" "0223" "0211" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "0121" "0211" "0211" "0211" "02122" "0223" "0211" "0223" "011"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "0122" "0122" "02122" "02221" "02121" "0223" "0233" "011" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "0211" "011" "02122" "02123" "02122" "02122" "013" "02221"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "0211" "0223" "0233" "0211" "011" "0122" "0231" "0211"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "0211" "02221" "0233" "0121" "0122" "0211" "02221" "0122" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "011" "0223" "0211" "0231" "0121" "0233" "0211" "0211" "0211"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "011" "011" "0121" "0233" "0122" "0211" "0211"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "0121" "0233" "02221" "0211" "0121" "0211" "0121" "02222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "0211" "0233" "0211" "02122" "0122" "0122" "011" "0121" "0211"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "0121" "011" "0121" "0233" "02321" "02121" "02121" "0233" "0211"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "0121" "0122" "02121" "0211" "0121" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "0122" "011" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "0211" "011" "02221" "0211" "02211" "0233" "0211" "0211" "0121"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "0211" "0211" "0121" "011" "0121" "0211" "02221" "0121"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "0211" "0223" "011" "0231" "0121" "0122" "02321" "0121" "011"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "013" "0123" "0121" "0123" "013" "013" "0122" "013" "0122"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "0121" "011" "0231" "011" "0121" "0121" "0231" "0122" "013"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "0122" "011" "013" "0122" "0123" "0121" "02321" "0122" "02222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "0122" "0122" "0121" "0233" "0121" "0123" "0122" "0121" "0121"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "02322" "013" "0121" "0122" "0121" "0121" "0233" "0122" "011"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "0122" "0233" "0121" "0121" "011" "0121" "013" "0121" "011"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "0122" "013" "0121" "0233" "0233" "0211" "0233" "0211"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "0121" "0121" "0233" "011" "0121" "0121" "0233" "0121" "02322"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "0121" "0122" "0211" "0233" "0122" "0121" "0121" "0233" "0121"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "0211" "013" "0122" "0211" "0121" "0223" "011" "0231" "0211"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "0211" "0233" "0211" "02123" "0223" "02122" "0121" "0233" "0211"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "0211" "0233" "0211" "0122" "0211" "013" "0233" "0211" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "0121" "0211" "02121" "0223" "02321" "02322" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "0211" "0233" "0121" "0211" "0211" "0211" "02322" "0233" "0121"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "0123" "0233" "0233" "0211" "02123" "02213" "0121" "0121"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "011" "02213" "0122" "0122" "02321" "0231" "011" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "0211" "0233" "0233" "0211" "02122" "0233" "0211" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "011" "0211" "02222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "011" "011" "0211" "011" "0223" "0211" "011" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "0233" "02121" "02121" "0211" "011" "0122" "0121"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "011" "011" "011" "02212" "011" "0122" "0122"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "011" "011" "011" "011" "011" "011" "0123" "011" "013"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "011" "013" "02321" "011" "0231" "011" "011" "011" "013"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "011" "011" "02321" "011" "0123" "013" "011" "02221" "011"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "011" "011" "0122" "013" "011" "011" "011" "0123" "011"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "0122" "011" "011" "011" "011" "02321" "013" "011" "02321"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "011" "0122" "013" "013" "02221" "0231" "011" "02321" "02221"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "011" "011" "011" "0211" "011" "0223" "011" "0233" "02221"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02221" "02322" "02221" "02222" "013" "011" "011" "011" "011"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "011" "011" "011" "011" "011" "011" "011" "011"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "011" "011" "0123" "011" "0233" "02221" "0233" "011"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "011" "02221" "02221" "0121" "011" "011" "011" "0121" "011"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02221" "011" "011" "0211" "011" "011" "0211" "0211" "011"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "013" "0223" "011" "011" "011" "02321" "0211" "011" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "011" "02212" "0121" "02212" "011" "02121" "011" "011"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "013" "0211" "013" "02212" "011" "011" "011" "011" "011"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "011" "013" "011" "011" "02222" "011" "02221" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "011" "011" "013" "011" "011" "013" "011"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "011" "011" "011" "011" "011" "02213" "011" "011" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "011" "011" "0223" "0123" "02222" "011" "011" "013" "011"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "011" "011" "0211" "02213" "013" "0211" "011" "013" "011"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "011" "0121" "011" "0122" "011" "0211" "011" "02122" "011"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "011" "0122" "0211" "011" "013" "02121" "011" "011"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "011" "0211" "011" "011" "013" "011" "011" "0211" "0211"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "011" "011" "02321" "011" "011" "0211" "02123" "0231" "011"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "011" "011" "0211" "0123" "011" "011" "011" "011" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "011" "011" "011" "011" "0211" "02211" "011" "011" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "011" "013" "02121" "0211" "011" "02121" "011" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "011" "02123" "011" "02213" "02213" "011" "02211" "011"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "011" "011" "02211" "011" "0233" "02212" "011" "011"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "011" "011" "011" "011" "011" "02212" "011" "011" "013"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "011" "0211" "0121" "011" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "0122" "013" "02221" "02122" "02213" "0211" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "02221" "02211" "0233" "0121" "0211" "02213" "0211"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "02222" "0122" "0223" "0211" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "02321" "02222" "02222" "0233" "013" "0122" "02222" "013"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02222" "02321" "02213" "02212" "011" "013" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "02221" "02222" "0223" "02212" "0223" "02222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02221" "02212" "013" "02211" "02211" "02221" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02221" "02211" "02213" "02222" "02222" "02213" "02222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02222" "02212" "0122" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "02321" "0233" "0233" "02211" "02122" "02213" "02321" "02321"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "02321" "02121" "0123" "0211" "0121" "0121" "0121" "011" "011"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "013" "0211" "0211" "0121" "0121" "0121" "0211" "0121" "0122"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "0122" "0121" "0211" "02221" "0121" "0211" "0121" "0123" "0121"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "0123" "0123" "0121" "0121" "0211" "0121" "0121" "0211" "0121"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "0121" "0121" "0211" "0211" "0211" "02321" "011" "0123" "0211"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "0211" "013" "013" "0121" "0211" "0211" "02122" "0123" "0211"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "0121" "0121" "0211" "0211" "0211" "0211" "0121" "0122" "0211"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "0121" "0211" "0121" "0121" "02121" "0211" "0211" "0121" "0123"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "0121" "0211" "0211" "0211" "0121" "0123" "0211" "0211" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "0211" "0121" "0211" "0121" "0211" "0121" "0211" "02121" "0211"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "0121" "0122" "0123" "0211" "0121" "0211" "011" "011" "011"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "0211" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "0211" "02212" "02121" "011" "011" "011" "0233" "011" "0211"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "011" "0211" "02121" "02212" "02222" "0233" "0211"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "0211" "0233" "0211" "0223" "0223" "02121" "0121" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "0211" "02123" "02121" "02212" "02122" "02122" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "0211" "02212" "02212" "0211" "02221" "0211" "02211" "0233" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "0211" "02121" "02123" "0211" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "0211" "0223" "02123" "0121" "02222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "0233" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "011" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "011" "02121" "0223" "0211" "0211" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "011" "02122" "0211" "02212" "02122" "0211" "0211" "0211"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "0211" "02122" "0223" "0211" "0211" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "0211" "0121" "0211" "0211" "0211" "02321" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "0123" "0121" "0123" "02121" "0123" "0211" "0211" "0211" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "0211" "02121" "013" "02122" "0211" "0211" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "011" "0123" "02122" "02212" "02321" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "013" "02121" "02122" "0211" "02123" "02121" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "0122" "02123" "02123" "02212" "02212" "02212" "0121" "0211" "011"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "0121" "02222" "0211"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "0211" "011" "0211" "02212" "02123" "02222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "0211" "011" "0211" "02122" "02212" "02213" "02321" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "02321" "02221" "02213" "02211" "0211" "02221" "0211" "02211" "0211"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "0121" "02211" "011" "02212" "02122" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "0122" "0122" "02322" "0122" "02213" "0121" "0231" "0122" "02322"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "02322" "0211" "02221" "02221" "0233" "02221" "0121" "02321" "0123"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "013" "02221" "02122" "0231" "0121" "02221"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "0211" "02211" "02322" "02221" "0231" "02211" "02221" "011"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02221" "011" "0211" "02212" "0211" "02213" "02221" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "0211" "02211" "02211" "0211" "02221" "0211" "02221" "02222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "02322" "02211" "02213" "02122" "0223" "0122" "02221" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "02221" "0211" "02122" "02221" "02221" "0211" "02122" "011"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 858))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "02322" "0233" "0122" "0122" "0231" "02221" "02321" "02221"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "02321" "0122" "0231" "0233" "0231" "02321"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "0122" "0122" "0233" "02221" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "0122" "0121" "0231" "0231" "0123" "02121" "02221" "011"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02222" "0233" "013" "0123" "0122" "02221" "02322" "0231" "011"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "02322" "0231" "013" "02211" "0233" "011"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "011" "011" "02211" "0223" "02213" "02221" "02221" "0223" "02321"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "02322" "02321" "02321" "02211" "0122" "02121" "02221" "011" "013"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "02321" "0223" "02322" "0233" "0231" "0231" "0233" "0122" "02221"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "013" "02221" "011" "011" "011" "011" "0122" "0122" "0123"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "0121" "0231" "013" "013" "013" "013" "0231" "0231" "011"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "011" "011" "011" "0121" "011" "011" "011" "013"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "013" "011" "013" "013" "02321" "013" "0122" "0123" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "011" "011" "013" "011" "011" "011" "0231" "0122" "011"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "011" "0231" "011" "013" "013" "02221" "011" "013" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "0122" "013" "011" "013" "0122" "0121" "02211" "011"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "011" "013" "0223" "011" "011" "02121" "013" "013" "013"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "0122" "0231" "0211" "011" "0233" "011" "0231" "011" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "013" "011" "011" "0123" "011" "011" "011" "013" "0122"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "013" "011" "0233" "0233" "0122" "013" "013" "011" "0123"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "0122" "011" "011" "013" "013" "0122" "011" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "0122" "011" "013" "011" "013" "013" "013" "011" "011"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "0121" "011" "011" "011" "0231" "013" "02221" "013"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "011" "013" "013" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "011" "011" "011" "0231" "013" "0231" "011" "011" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "011" "013" "0231" "011" "011" "0231" "011" "011" "011"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "0121" "013" "011" "013" "0121" "0122" "0121" "011" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "013" "0122" "011" "0122" "011" "0231" "011" "02322" "013"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "013" "02321" "0231" "011" "02221" "011" "013" "013" "011"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "011" "011" "013" "013" "013" "011" "0122" "011" "011"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "013" "013" "0231" "0122" "0122" "0122" "011" "011" "011"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "0122" "0231" "011" "011" "013" "0123" "013" "011" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "013" "0122" "011" "011" "011" "013" "013" "011" "011"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "011" "011" "0122" "011" "011" "013" "011" "011" "013"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "013" "0121" "013" "011" "0122" "011" "011" "011" "0122"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "011" "011" "0231" "011" "013" "011" "011" "0122" "013"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02221" "011" "013" "013" "0122" "0211" "0122" "0122" "0121"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "013" "011" "011" "011" "0122" "011" "011" "011" "011"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "0121" "011" "013" "02322" "011" "011" "013" "02221"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "013" "011" "0123" "011" "011" "011" "011" "011" "011"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "011" "011" "011" "013" "0122" "0233" "011" "0122" "011"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "013" "013" "011" "013" "013" "013" "011" "011" "013"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "013" "011" "0231" "02221" "02221" "02221" "011" "011" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "013" "02221" "013" "013" "013" "013" "013" "0231" "013"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "0121" "02321" "013" "02221" "02221" "013" "013" "011" "02221"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "0123" "013" "0231" "011" "011" "0122" "02221"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "013" "02212" "0231" "0122" "013" "011" "02221" "0211" "02221"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "013" "013" "013" "013" "011" "02221" "011" "0211" "011"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "013" "011" "02221" "0233" "011" "0223" "02321" "0223" "013"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "013" "02213" "02211" "011" "0211" "02221" "02322" "02322" "011"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "011" "011" "011" "011" "011" "011" "011" "0231" "013"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "0122" "013" "02221" "013" "0122" "011" "02122" "02221" "013"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "013" "013" "011" "011" "013" "0122" "013" "0231" "02221"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "011" "011" "0233" "011" "011" "0122" "011" "011" "011"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "011" "013" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "02322" "011" "0231" "011" "013" "013" "013" "0121" "011"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "011" "011" "011" "011" "011" "0121" "011" "011" "013"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "011" "011" "011" "0122" "011" "011" "011" "013" "011"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "011" "011" "011" "013" "011" "0121" "013" "0122" "013"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "011" "02221" "011" "011" "0231" "013" "02221" "0123" "011"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "013" "011" "011" "013" "02321" "011" "011" "011" "011"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "0121" "011" "013" "0233" "0122" "011" "011" "011" "011"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "0211" "011" "02121" "02321" "02222" "0211" "0211"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "013" "0121" "0233" "02221" "02322" "0211" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "013" "0211" "0123" "02212" "0223" "0223" "0211" "0123" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "0122" "0211" "011" "0233" "0211" "0211" "0233" "0211" "0211"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "011" "0223" "02121" "02122" "02122" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "02321" "0233" "011" "02121" "011" "0211" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "0211" "0211" "0223" "0121" "0223" "0211" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "0121" "0211" "0211" "0211" "02122" "0223" "0211" "0223" "011"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "0122" "0122" "02122" "02221" "02121" "0223" "0233" "011" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "0211" "011" "02122" "02123" "02122" "02122" "013" "02221"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "0211" "0223" "0233" "0211" "011" "0122" "0231" "0211"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "0211" "02221" "0233" "0121" "0122" "0211" "02221" "0122" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "011" "0223" "0211" "0231" "0121" "0233" "0211" "0211" "0211"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "011" "011" "0121" "0233" "0122" "0211" "0211"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "0121" "0233" "02221" "0211" "0121" "0211" "0121" "02222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "0211" "0233" "0211" "02122" "0122" "0122" "011" "0121" "0211"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "0121" "011" "0121" "0233" "02321" "02121" "02121" "0233" "0211"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "0121" "0122" "02121" "0211" "0121" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "0122" "011" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "0211" "011" "02221" "0211" "02211" "0233" "0211" "0211" "0121"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "0211" "0211" "0121" "011" "0121" "0211" "02221" "0121"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "0211" "0223" "011" "0231" "0121" "0122" "02321" "0121" "011"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "013" "0123" "0121" "0123" "013" "013" "0122" "013" "0122"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "0121" "011" "0231" "011" "0121" "0121" "0231" "0122" "013"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "0122" "011" "013" "0122" "0123" "0121" "02321" "0122" "02222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "0122" "0122" "0121" "0233" "0121" "0123" "0122" "0121" "0121"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "02322" "013" "0121" "0122" "0121" "0121" "0233" "0122" "011"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "0122" "0233" "0121" "0121" "011" "0121" "013" "0121" "011"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "0122" "013" "0121" "0233" "0233" "0211" "0233" "0211"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "0121" "0121" "0233" "011" "0121" "0121" "0233" "0121" "02322"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "0121" "0122" "0211" "0233" "0122" "0121" "0121" "0233" "0121"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "0211" "013" "0122" "0211" "0121" "0223" "011" "0231" "0211"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "0211" "0233" "0211" "02123" "0223" "02122" "0121" "0233" "0211"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "0211" "0233" "0211" "0122" "0211" "013" "0233" "0211" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "0121" "0211" "02121" "0223" "02321" "02322" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "0211" "0233" "0121" "0211" "0211" "0211" "02322" "0233" "0121"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "0123" "0233" "0233" "0211" "02123" "02213" "0121" "0121"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "011" "02213" "0122" "0122" "02321" "0231" "011" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "0211" "0233" "0233" "0211" "02122" "0233" "0211" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "011" "0211" "02222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "011" "011" "0211" "011" "0223" "0211" "011" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "0233" "02121" "02121" "0211" "011" "0122" "0121"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "011" "011" "011" "02212" "011" "0122" "0122"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "011" "011" "011" "011" "011" "011" "0123" "011" "013"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "011" "013" "02321" "011" "0231" "011" "011" "011" "013"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "011" "011" "02321" "011" "0123" "013" "011" "02221" "011"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "011" "011" "0122" "013" "011" "011" "011" "0123" "011"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "0122" "011" "011" "011" "011" "02321" "013" "011" "02321"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "011" "0122" "013" "013" "02221" "0231" "011" "02321" "02221"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "011" "011" "011" "0211" "011" "0223" "011" "0233" "02221"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02221" "02322" "02221" "02222" "013" "011" "011" "011" "011"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "011" "011" "011" "011" "011" "011" "011" "011"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "011" "011" "0123" "011" "0233" "02221" "0233" "011"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "011" "02221" "02221" "0121" "011" "011" "011" "0121" "011"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02221" "011" "011" "0211" "011" "011" "0211" "0211" "011"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "013" "0223" "011" "011" "011" "02321" "0211" "011" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "011" "02212" "0121" "02212" "011" "02121" "011" "011"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "013" "0211" "013" "02212" "011" "011" "011" "011" "011"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "011" "013" "011" "011" "02222" "011" "02221" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "011" "011" "013" "011" "011" "013" "011"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "011" "011" "011" "011" "011" "02213" "011" "011" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "011" "011" "0223" "0123" "02222" "011" "011" "013" "011"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "011" "011" "0211" "02213" "013" "0211" "011" "013" "011"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "011" "0121" "011" "0122" "011" "0211" "011" "02122" "011"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "011" "0122" "0211" "011" "013" "02121" "011" "011"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "011" "0211" "011" "011" "013" "011" "011" "0211" "0211"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "011" "011" "02321" "011" "011" "0211" "02123" "0231" "011"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "011" "011" "0211" "0123" "011" "011" "011" "011" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "011" "011" "011" "011" "0211" "02211" "011" "011" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "011" "013" "02121" "0211" "011" "02121" "011" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "011" "02123" "011" "02213" "02213" "011" "02211" "011"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "011" "011" "02211" "011" "0233" "02212" "011" "011"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "011" "011" "011" "011" "011" "02212" "011" "011" "013"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "011" "0211" "0121" "011" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "0122" "013" "02221" "02122" "02213" "0211" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "02221" "02211" "0233" "0121" "0211" "02213" "0211"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "02222" "0122" "0223" "0211" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "02321" "02222" "02222" "0233" "013" "0122" "02222" "013"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02222" "02321" "02213" "02212" "011" "013" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "02221" "02222" "0223" "02212" "0223" "02222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02221" "02212" "013" "02211" "02211" "02221" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02221" "02211" "02213" "02222" "02222" "02213" "02222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02222" "02212" "0122" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "02321" "0233" "0233" "02211" "02122" "02213" "02321" "02321"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "02321" "02121" "0123" "0211" "0121" "0121" "0121" "011" "011"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "013" "0211" "0211" "0121" "0121" "0121" "0211" "0121" "0122"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "0122" "0121" "0211" "02221" "0121" "0211" "0121" "0123" "0121"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "0123" "0123" "0121" "0121" "0211" "0121" "0121" "0211" "0121"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "0121" "0121" "0211" "0211" "0211" "02321" "011" "0123" "0211"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "0211" "013" "013" "0121" "0211" "0211" "02122" "0123" "0211"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "0121" "0121" "0211" "0211" "0211" "0211" "0121" "0122" "0211"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "0121" "0211" "0121" "0121" "02121" "0211" "0211" "0121" "0123"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "0121" "0211" "0211" "0211" "0121" "0123" "0211" "0211" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "0211" "0121" "0211" "0121" "0211" "0121" "0211" "02121" "0211"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "0121" "0122" "0123" "0211" "0121" "0211" "011" "011" "011"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "0211" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "0211" "02212" "02121" "011" "011" "011" "0233" "011" "0211"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "011" "0211" "02121" "02212" "02222" "0233" "0211"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "0211" "0233" "0211" "0223" "0223" "02121" "0121" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "0211" "02123" "02121" "02212" "02122" "02122" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "0211" "02212" "02212" "0211" "02221" "0211" "02211" "0233" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "0211" "02121" "02123" "0211" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "0211" "0223" "02123" "0121" "02222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "0233" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "011" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "011" "02121" "0223" "0211" "0211" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "011" "02122" "0211" "02212" "02122" "0211" "0211" "0211"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "0211" "02122" "0223" "0211" "0211" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "0211" "0121" "0211" "0211" "0211" "02321" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "0123" "0121" "0123" "02121" "0123" "0211" "0211" "0211" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "0211" "02121" "013" "02122" "0211" "0211" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "011" "0123" "02122" "02212" "02321" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "013" "02121" "02122" "0211" "02123" "02121" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "0122" "02123" "02123" "02212" "02212" "02212" "0121" "0211" "011"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "0121" "02222" "0211"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "0211" "011" "0211" "02212" "02123" "02222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "0211" "011" "0211" "02122" "02212" "02213" "02321" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "02321" "02221" "02213" "02211" "0211" "02221" "0211" "02211" "0211"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "0121" "02211" "011" "02212" "02122" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "0122" "0122" "02322" "0122" "02213" "0121" "0231" "0122" "02322"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "02322" "0211" "02221" "02221" "0233" "02221" "0121" "02321" "0123"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "013" "02221" "02122" "0231" "0121" "02221"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "0211" "02211" "02322" "02221" "0231" "02211" "02221" "011"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02221" "011" "0211" "02212" "0211" "02213" "02221" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "0211" "02211" "02211" "0211" "02221" "0211" "02221" "02222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "02322" "02211" "02213" "02122" "0223" "0122" "02221" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "02221" "0211" "02122" "02221" "02221" "0211" "02122" "011"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 973))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "02322" "0233" "0122" "0122" "0231" "02221" "02321" "02221"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "02321" "0122" "0231" "0233" "0231" "02321"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "0122" "0122" "0233" "02221" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "0122" "0121" "0231" "0231" "0123" "02121" "02221" "011"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02222" "0233" "013" "0123" "0122" "02221" "02322" "0231" "011"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "02322" "0231" "013" "02211" "0233" "011"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "011" "011" "02211" "0223" "02213" "02221" "02221" "0223" "02321"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "02322" "02321" "02321" "02211" "0122" "02121" "02221" "011" "013"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "02321" "0223" "02322" "0233" "0231" "0231" "0233" "0122" "02221"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "013" "02221" "011" "011" "011" "011" "0122" "0122" "0123"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "0121" "0231" "013" "013" "013" "013" "0231" "0231" "011"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "011" "011" "011" "0121" "011" "011" "011" "013"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "013" "011" "013" "013" "02321" "013" "0122" "0123" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "011" "011" "013" "011" "011" "011" "0231" "0122" "011"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "011" "0231" "011" "013" "013" "02221" "011" "013" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "0122" "013" "011" "013" "0122" "0121" "02211" "011"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "011" "013" "0223" "011" "011" "02121" "013" "013" "013"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "0122" "0231" "0211" "011" "0233" "011" "0231" "011" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "013" "011" "011" "0123" "011" "011" "011" "013" "0122"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "013" "011" "0233" "0233" "0122" "013" "013" "011" "0123"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "0122" "011" "011" "013" "013" "0122" "011" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "0122" "011" "013" "011" "013" "013" "013" "011" "011"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "0121" "011" "011" "011" "0231" "013" "02221" "013"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "011" "013" "013" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "011" "011" "011" "0231" "013" "0231" "011" "011" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "011" "013" "0231" "011" "011" "0231" "011" "011" "011"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "0121" "013" "011" "013" "0121" "0122" "0121" "011" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "013" "0122" "011" "0122" "011" "0231" "011" "02322" "013"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "013" "02321" "0231" "011" "02221" "011" "013" "013" "011"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "011" "011" "013" "013" "013" "011" "0122" "011" "011"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "013" "013" "0231" "0122" "0122" "0122" "011" "011" "011"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "0122" "0231" "011" "011" "013" "0123" "013" "011" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "013" "0122" "011" "011" "011" "013" "013" "011" "011"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "011" "011" "0122" "011" "011" "013" "011" "011" "013"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "013" "0121" "013" "011" "0122" "011" "011" "011" "0122"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "011" "011" "0231" "011" "013" "011" "011" "0122" "013"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02221" "011" "013" "013" "0122" "0211" "0122" "0122" "0121"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "013" "011" "011" "011" "0122" "011" "011" "011" "011"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "0121" "011" "013" "02322" "011" "011" "013" "02221"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "013" "011" "0123" "011" "011" "011" "011" "011" "011"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "011" "011" "011" "013" "0122" "0233" "011" "0122" "011"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "013" "013" "011" "013" "013" "013" "011" "011" "013"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "013" "011" "0231" "02221" "02221" "02221" "011" "011" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "013" "02221" "013" "013" "013" "013" "013" "0231" "013"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "0121" "02321" "013" "02221" "02221" "013" "013" "011" "02221"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "0123" "013" "0231" "011" "011" "0122" "02221"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "013" "02212" "0231" "0122" "013" "011" "02221" "0211" "02221"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "013" "013" "013" "013" "011" "02221" "011" "0211" "011"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "013" "011" "02221" "0233" "011" "0223" "02321" "0223" "013"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "013" "02213" "02211" "011" "0211" "02221" "02322" "02322" "011"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "011" "011" "011" "011" "011" "011" "011" "0231" "013"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "0122" "013" "02221" "013" "0122" "011" "02122" "02221" "013"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "013" "013" "011" "011" "013" "0122" "013" "0231" "02221"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "011" "011" "0233" "011" "011" "0122" "011" "011" "011"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "011" "013" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "02322" "011" "0231" "011" "013" "013" "013" "0121" "011"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "011" "011" "011" "011" "011" "0121" "011" "011" "013"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "011" "011" "011" "0122" "011" "011" "011" "013" "011"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "011" "011" "011" "013" "011" "0121" "013" "0122" "013"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "011" "02221" "011" "011" "0231" "013" "02221" "0123" "011"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "013" "011" "011" "013" "02321" "011" "011" "011" "011"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "0121" "011" "013" "0233" "0122" "011" "011" "011" "011"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "0211" "011" "02121" "02321" "02222" "0211" "0211"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "013" "0121" "0233" "02221" "02322" "0211" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "013" "0211" "0123" "02212" "0223" "0223" "0211" "0123" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "0122" "0211" "011" "0233" "0211" "0211" "0233" "0211" "0211"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "011" "0223" "02121" "02122" "02122" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "02321" "0233" "011" "02121" "011" "0211" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "0211" "0211" "0223" "0121" "0223" "0211" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "0121" "0211" "0211" "0211" "02122" "0223" "0211" "0223" "011"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "0122" "0122" "02122" "02221" "02121" "0223" "0233" "011" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "0211" "011" "02122" "02123" "02122" "02122" "013" "02221"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "0211" "0223" "0233" "0211" "011" "0122" "0231" "0211"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "0211" "02221" "0233" "0121" "0122" "0211" "02221" "0122" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "011" "0223" "0211" "0231" "0121" "0233" "0211" "0211" "0211"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "011" "011" "0121" "0233" "0122" "0211" "0211"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "0121" "0233" "02221" "0211" "0121" "0211" "0121" "02222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "0211" "0233" "0211" "02122" "0122" "0122" "011" "0121" "0211"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "0121" "011" "0121" "0233" "02321" "02121" "02121" "0233" "0211"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "0121" "0122" "02121" "0211" "0121" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "0122" "011" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "0211" "011" "02221" "0211" "02211" "0233" "0211" "0211" "0121"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "0211" "0211" "0121" "011" "0121" "0211" "02221" "0121"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "0211" "0223" "011" "0231" "0121" "0122" "02321" "0121" "011"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "013" "0123" "0121" "0123" "013" "013" "0122" "013" "0122"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "0121" "011" "0231" "011" "0121" "0121" "0231" "0122" "013"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "0122" "011" "013" "0122" "0123" "0121" "02321" "0122" "02222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "0122" "0122" "0121" "0233" "0121" "0123" "0122" "0121" "0121"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "02322" "013" "0121" "0122" "0121" "0121" "0233" "0122" "011"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "0122" "0233" "0121" "0121" "011" "0121" "013" "0121" "011"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "0122" "013" "0121" "0233" "0233" "0211" "0233" "0211"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "0121" "0121" "0233" "011" "0121" "0121" "0233" "0121" "02322"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "0121" "0122" "0211" "0233" "0122" "0121" "0121" "0233" "0121"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "0211" "013" "0122" "0211" "0121" "0223" "011" "0231" "0211"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "0211" "0233" "0211" "02123" "0223" "02122" "0121" "0233" "0211"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "0211" "0233" "0211" "0122" "0211" "013" "0233" "0211" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "0121" "0211" "02121" "0223" "02321" "02322" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "0211" "0233" "0121" "0211" "0211" "0211" "02322" "0233" "0121"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "0123" "0233" "0233" "0211" "02123" "02213" "0121" "0121"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "011" "02213" "0122" "0122" "02321" "0231" "011" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "0211" "0233" "0233" "0211" "02122" "0233" "0211" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "011" "0211" "02222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "011" "011" "0211" "011" "0223" "0211" "011" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "0233" "02121" "02121" "0211" "011" "0122" "0121"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "011" "011" "011" "02212" "011" "0122" "0122"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "011" "011" "011" "011" "011" "011" "0123" "011" "013"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "011" "013" "02321" "011" "0231" "011" "011" "011" "013"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "011" "011" "02321" "011" "0123" "013" "011" "02221" "011"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "011" "011" "0122" "013" "011" "011" "011" "0123" "011"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "0122" "011" "011" "011" "011" "02321" "013" "011" "02321"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "011" "0122" "013" "013" "02221" "0231" "011" "02321" "02221"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "011" "011" "011" "0211" "011" "0223" "011" "0233" "02221"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02221" "02322" "02221" "02222" "013" "011" "011" "011" "011"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "011" "011" "011" "011" "011" "011" "011" "011"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "011" "011" "0123" "011" "0233" "02221" "0233" "011"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "011" "02221" "02221" "0121" "011" "011" "011" "0121" "011"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02221" "011" "011" "0211" "011" "011" "0211" "0211" "011"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "013" "0223" "011" "011" "011" "02321" "0211" "011" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "011" "02212" "0121" "02212" "011" "02121" "011" "011"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "013" "0211" "013" "02212" "011" "011" "011" "011" "011"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "011" "013" "011" "011" "02222" "011" "02221" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "011" "011" "013" "011" "011" "013" "011"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "011" "011" "011" "011" "011" "02213" "011" "011" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "011" "011" "0223" "0123" "02222" "011" "011" "013" "011"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "011" "011" "0211" "02213" "013" "0211" "011" "013" "011"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "011" "0121" "011" "0122" "011" "0211" "011" "02122" "011"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "011" "0122" "0211" "011" "013" "02121" "011" "011"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "011" "0211" "011" "011" "013" "011" "011" "0211" "0211"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "011" "011" "02321" "011" "011" "0211" "02123" "0231" "011"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "011" "011" "0211" "0123" "011" "011" "011" "011" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "011" "011" "011" "011" "0211" "02211" "011" "011" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "011" "013" "02121" "0211" "011" "02121" "011" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "011" "02123" "011" "02213" "02213" "011" "02211" "011"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "011" "011" "02211" "011" "0233" "02212" "011" "011"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "011" "011" "011" "011" "011" "02212" "011" "011" "013"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "011" "0211" "0121" "011" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "0122" "013" "02221" "02122" "02213" "0211" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "02221" "02211" "0233" "0121" "0211" "02213" "0211"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "02222" "0122" "0223" "0211" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "02321" "02222" "02222" "0233" "013" "0122" "02222" "013"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02222" "02321" "02213" "02212" "011" "013" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "02221" "02222" "0223" "02212" "0223" "02222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02221" "02212" "013" "02211" "02211" "02221" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02221" "02211" "02213" "02222" "02222" "02213" "02222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02222" "02212" "0122" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "02321" "0233" "0233" "02211" "02122" "02213" "02321" "02321"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "02321" "02121" "0123" "0211" "0121" "0121" "0121" "011" "011"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "013" "0211" "0211" "0121" "0121" "0121" "0211" "0121" "0122"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "0122" "0121" "0211" "02221" "0121" "0211" "0121" "0123" "0121"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "0123" "0123" "0121" "0121" "0211" "0121" "0121" "0211" "0121"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "0121" "0121" "0211" "0211" "0211" "02321" "011" "0123" "0211"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "0211" "013" "013" "0121" "0211" "0211" "02122" "0123" "0211"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "0121" "0121" "0211" "0211" "0211" "0211" "0121" "0122" "0211"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "0121" "0211" "0121" "0121" "02121" "0211" "0211" "0121" "0123"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "0121" "0211" "0211" "0211" "0121" "0123" "0211" "0211" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "0211" "0121" "0211" "0121" "0211" "0121" "0211" "02121" "0211"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "0121" "0122" "0123" "0211" "0121" "0211" "011" "011" "011"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "0211" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "0211" "02212" "02121" "011" "011" "011" "0233" "011" "0211"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "011" "0211" "02121" "02212" "02222" "0233" "0211"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "0211" "0233" "0211" "0223" "0223" "02121" "0121" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "0211" "02123" "02121" "02212" "02122" "02122" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "0211" "02212" "02212" "0211" "02221" "0211" "02211" "0233" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "0211" "02121" "02123" "0211" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "0211" "0223" "02123" "0121" "02222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "0233" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "011" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "011" "02121" "0223" "0211" "0211" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "011" "02122" "0211" "02212" "02122" "0211" "0211" "0211"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "0211" "02122" "0223" "0211" "0211" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "0211" "0121" "0211" "0211" "0211" "02321" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "0123" "0121" "0123" "02121" "0123" "0211" "0211" "0211" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "0211" "02121" "013" "02122" "0211" "0211" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "011" "0123" "02122" "02212" "02321" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "013" "02121" "02122" "0211" "02123" "02121" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "0122" "02123" "02123" "02212" "02212" "02212" "0121" "0211" "011"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "0121" "02222" "0211"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "0211" "011" "0211" "02212" "02123" "02222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "0211" "011" "0211" "02122" "02212" "02213" "02321" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "02321" "02221" "02213" "02211" "0211" "02221" "0211" "02211" "0211"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "0121" "02211" "011" "02212" "02122" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "0122" "0122" "02322" "0122" "02213" "0121" "0231" "0122" "02322"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "02322" "0211" "02221" "02221" "0233" "02221" "0121" "02321" "0123"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "013" "02221" "02122" "0231" "0121" "02221"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "0211" "02211" "02322" "02221" "0231" "02211" "02221" "011"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02221" "011" "0211" "02212" "0211" "02213" "02221" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "0211" "02211" "02211" "0211" "02221" "0211" "02221" "02222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "02322" "02211" "02213" "02122" "0223" "0122" "02221" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "02221" "0211" "02122" "02221" "02221" "0211" "02122" "011"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 994))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "0232" "0233" "0122" "0122" "0231" "02221" "0232" "02221"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "0232" "0122" "0231" "0233" "0231" "0232"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "0122" "0122" "0233" "02221" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "0122" "0121" "0231" "0231" "0123" "02121" "02221" "011"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02222" "0233" "013" "0123" "0122" "02221" "0232" "0231" "011"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "0232" "0231" "013" "02211" "0233" "011"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "011" "011" "02211" "0223" "02213" "02221" "02221" "0223" "0232"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "0232" "0232" "0232" "02211" "0122" "02121" "02221" "011" "013"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "0232" "0223" "0232" "0233" "0231" "0231" "0233" "0122" "02221"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "013" "02221" "011" "011" "011" "011" "0122" "0122" "0123"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "0121" "0231" "013" "013" "013" "013" "0231" "0231" "011"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "011" "011" "011" "0121" "011" "011" "011" "013"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "013" "011" "013" "013" "0232" "013" "0122" "0123" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "011" "011" "013" "011" "011" "011" "0231" "0122" "011"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "011" "0231" "011" "013" "013" "02221" "011" "013" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "0122" "013" "011" "013" "0122" "0121" "02211" "011"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "011" "013" "0223" "011" "011" "02121" "013" "013" "013"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "0122" "0231" "0211" "011" "0233" "011" "0231" "011" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "013" "011" "011" "0123" "011" "011" "011" "013" "0122"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "013" "011" "0233" "0233" "0122" "013" "013" "011" "0123"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "0122" "011" "011" "013" "013" "0122" "011" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "0122" "011" "013" "011" "013" "013" "013" "011" "011"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "0121" "011" "011" "011" "0231" "013" "02221" "013"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "011" "013" "013" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "011" "011" "011" "0231" "013" "0231" "011" "011" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "011" "013" "0231" "011" "011" "0231" "011" "011" "011"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "0121" "013" "011" "013" "0121" "0122" "0121" "011" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "013" "0122" "011" "0122" "011" "0231" "011" "0232" "013"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "013" "0232" "0231" "011" "02221" "011" "013" "013" "011"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "011" "011" "013" "013" "013" "011" "0122" "011" "011"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "013" "013" "0231" "0122" "0122" "0122" "011" "011" "011"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "0122" "0231" "011" "011" "013" "0123" "013" "011" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "013" "0122" "011" "011" "011" "013" "013" "011" "011"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "011" "011" "0122" "011" "011" "013" "011" "011" "013"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "013" "0121" "013" "011" "0122" "011" "011" "011" "0122"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "011" "011" "0231" "011" "013" "011" "011" "0122" "013"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02221" "011" "013" "013" "0122" "0211" "0122" "0122" "0121"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "013" "011" "011" "011" "0122" "011" "011" "011" "011"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "0121" "011" "013" "0232" "011" "011" "013" "02221"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "013" "011" "0123" "011" "011" "011" "011" "011" "011"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "011" "011" "011" "013" "0122" "0233" "011" "0122" "011"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "013" "013" "011" "013" "013" "013" "011" "011" "013"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "013" "011" "0231" "02221" "02221" "02221" "011" "011" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "013" "02221" "013" "013" "013" "013" "013" "0231" "013"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "0121" "0232" "013" "02221" "02221" "013" "013" "011" "02221"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "0123" "013" "0231" "011" "011" "0122" "02221"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "013" "02212" "0231" "0122" "013" "011" "02221" "0211" "02221"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "013" "013" "013" "013" "011" "02221" "011" "0211" "011"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "013" "011" "02221" "0233" "011" "0223" "0232" "0223" "013"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "013" "02213" "02211" "011" "0211" "02221" "0232" "0232" "011"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "011" "011" "011" "011" "011" "011" "011" "0231" "013"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "0122" "013" "02221" "013" "0122" "011" "02122" "02221" "013"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "013" "013" "011" "011" "013" "0122" "013" "0231" "02221"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "011" "011" "0233" "011" "011" "0122" "011" "011" "011"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "011" "013" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "0232" "011" "0231" "011" "013" "013" "013" "0121" "011"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "011" "011" "011" "011" "011" "0121" "011" "011" "013"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "011" "011" "011" "0122" "011" "011" "011" "013" "011"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "011" "011" "011" "013" "011" "0121" "013" "0122" "013"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "011" "02221" "011" "011" "0231" "013" "02221" "0123" "011"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "013" "011" "011" "013" "0232" "011" "011" "011" "011"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "0121" "011" "013" "0233" "0122" "011" "011" "011" "011"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "0211" "011" "02121" "0232" "02222" "0211" "0211"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "013" "0121" "0233" "02221" "0232" "0211" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "013" "0211" "0123" "02212" "0223" "0223" "0211" "0123" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "0122" "0211" "011" "0233" "0211" "0211" "0233" "0211" "0211"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "011" "0223" "02121" "02122" "02122" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "0232" "0233" "011" "02121" "011" "0211" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "0211" "0211" "0223" "0121" "0223" "0211" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "0121" "0211" "0211" "0211" "02122" "0223" "0211" "0223" "011"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "0122" "0122" "02122" "02221" "02121" "0223" "0233" "011" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "0211" "011" "02122" "02123" "02122" "02122" "013" "02221"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "0211" "0223" "0233" "0211" "011" "0122" "0231" "0211"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "0211" "02221" "0233" "0121" "0122" "0211" "02221" "0122" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "011" "0223" "0211" "0231" "0121" "0233" "0211" "0211" "0211"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "011" "011" "0121" "0233" "0122" "0211" "0211"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "0121" "0233" "02221" "0211" "0121" "0211" "0121" "02222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "0211" "0233" "0211" "02122" "0122" "0122" "011" "0121" "0211"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "0121" "011" "0121" "0233" "0232" "02121" "02121" "0233" "0211"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "0121" "0122" "02121" "0211" "0121" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "0122" "011" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "0211" "011" "02221" "0211" "02211" "0233" "0211" "0211" "0121"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "0211" "0211" "0121" "011" "0121" "0211" "02221" "0121"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "0211" "0223" "011" "0231" "0121" "0122" "0232" "0121" "011"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "013" "0123" "0121" "0123" "013" "013" "0122" "013" "0122"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "0121" "011" "0231" "011" "0121" "0121" "0231" "0122" "013"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "0122" "011" "013" "0122" "0123" "0121" "0232" "0122" "02222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "0122" "0122" "0121" "0233" "0121" "0123" "0122" "0121" "0121"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "0232" "013" "0121" "0122" "0121" "0121" "0233" "0122" "011"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "0122" "0233" "0121" "0121" "011" "0121" "013" "0121" "011"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "0122" "013" "0121" "0233" "0233" "0211" "0233" "0211"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "0121" "0121" "0233" "011" "0121" "0121" "0233" "0121" "0232"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "0121" "0122" "0211" "0233" "0122" "0121" "0121" "0233" "0121"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "0211" "013" "0122" "0211" "0121" "0223" "011" "0231" "0211"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "0211" "0233" "0211" "02123" "0223" "02122" "0121" "0233" "0211"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "0211" "0233" "0211" "0122" "0211" "013" "0233" "0211" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "0121" "0211" "02121" "0223" "0232" "0232" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "0211" "0233" "0121" "0211" "0211" "0211" "0232" "0233" "0121"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "0123" "0233" "0233" "0211" "02123" "02213" "0121" "0121"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "011" "02213" "0122" "0122" "0232" "0231" "011" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "0211" "0233" "0233" "0211" "02122" "0233" "0211" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "011" "0211" "02222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "011" "011" "0211" "011" "0223" "0211" "011" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "0233" "02121" "02121" "0211" "011" "0122" "0121"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "011" "011" "011" "02212" "011" "0122" "0122"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "011" "011" "011" "011" "011" "011" "0123" "011" "013"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "011" "013" "0232" "011" "0231" "011" "011" "011" "013"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "011" "011" "0232" "011" "0123" "013" "011" "02221" "011"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "011" "011" "0122" "013" "011" "011" "011" "0123" "011"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "0122" "011" "011" "011" "011" "0232" "013" "011" "0232"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "011" "0122" "013" "013" "02221" "0231" "011" "0232" "02221"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "011" "011" "011" "0211" "011" "0223" "011" "0233" "02221"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02221" "0232" "02221" "02222" "013" "011" "011" "011" "011"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "011" "011" "011" "011" "011" "011" "011" "011"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "011" "011" "0123" "011" "0233" "02221" "0233" "011"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "011" "02221" "02221" "0121" "011" "011" "011" "0121" "011"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02221" "011" "011" "0211" "011" "011" "0211" "0211" "011"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "013" "0223" "011" "011" "011" "0232" "0211" "011" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "011" "02212" "0121" "02212" "011" "02121" "011" "011"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "013" "0211" "013" "02212" "011" "011" "011" "011" "011"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "011" "013" "011" "011" "02222" "011" "02221" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "011" "011" "013" "011" "011" "013" "011"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "011" "011" "011" "011" "011" "02213" "011" "011" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "011" "011" "0223" "0123" "02222" "011" "011" "013" "011"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "011" "011" "0211" "02213" "013" "0211" "011" "013" "011"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "011" "0121" "011" "0122" "011" "0211" "011" "02122" "011"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "011" "0122" "0211" "011" "013" "02121" "011" "011"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "011" "0211" "011" "011" "013" "011" "011" "0211" "0211"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "011" "011" "0232" "011" "011" "0211" "02123" "0231" "011"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "011" "011" "011" "011" "011" "011" "011" "011" "011"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "011" "011" "0211" "0123" "011" "011" "011" "011" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "011" "011" "011" "011" "0211" "02211" "011" "011" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "011" "013" "02121" "0211" "011" "02121" "011" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "011" "02123" "011" "02213" "02213" "011" "02211" "011"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "011" "011" "02211" "011" "0233" "02212" "011" "011"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "011" "011" "011" "011" "011" "02212" "011" "011" "013"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "011" "0211" "0121" "011" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "0122" "013" "02221" "02122" "02213" "0211" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "02221" "02211" "0233" "0121" "0211" "02213" "0211"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "02222" "0122" "0223" "0211" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "0232" "02222" "02222" "0233" "013" "0122" "02222" "013"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02222" "0232" "02213" "02212" "011" "013" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "02221" "02222" "0223" "02212" "0223" "02222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02221" "02212" "013" "02211" "02211" "02221" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02221" "02211" "02213" "02222" "02222" "02213" "02222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02222" "02212" "0122" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "0232" "0233" "0233" "02211" "02122" "02213" "0232" "0232"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "0232" "02121" "0123" "0211" "0121" "0121" "0121" "011" "011"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "013" "0211" "0211" "0121" "0121" "0121" "0211" "0121" "0122"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "0122" "0121" "0211" "02221" "0121" "0211" "0121" "0123" "0121"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "0123" "0123" "0121" "0121" "0211" "0121" "0121" "0211" "0121"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "0121" "0121" "0211" "0211" "0211" "0232" "011" "0123" "0211"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "0211" "013" "013" "0121" "0211" "0211" "02122" "0123" "0211"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "0121" "0121" "0211" "0211" "0211" "0211" "0121" "0122" "0211"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "0121" "0211" "0121" "0121" "02121" "0211" "0211" "0121" "0123"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "0121" "0211" "0211" "0211" "0121" "0123" "0211" "0211" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "0211" "0121" "0211" "0121" "0211" "0121" "0211" "02121" "0211"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "0121" "0122" "0123" "0211" "0121" "0211" "011" "011" "011"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "0211" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "0211" "02212" "02121" "011" "011" "011" "0233" "011" "0211"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "011" "0211" "02121" "02212" "02222" "0233" "0211"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "0211" "0233" "0211" "0223" "0223" "02121" "0121" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "0211" "02123" "02121" "02212" "02122" "02122" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "0211" "02212" "02212" "0211" "02221" "0211" "02211" "0233" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "0211" "02121" "02123" "0211" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "0211" "0223" "02123" "0121" "02222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "0233" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "011" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "011" "02121" "0223" "0211" "0211" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "011" "02122" "0211" "02212" "02122" "0211" "0211" "0211"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "0211" "02122" "0223" "0211" "0211" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "0211" "0121" "0211" "0211" "0211" "0232" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "0123" "0121" "0123" "02121" "0123" "0211" "0211" "0211" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "0211" "02121" "013" "02122" "0211" "0211" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "011" "0123" "02122" "02212" "0232" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "013" "02121" "02122" "0211" "02123" "02121" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "0122" "02123" "02123" "02212" "02212" "02212" "0121" "0211" "011"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "0121" "02222" "0211"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "0211" "011" "0211" "02212" "02123" "02222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "0211" "011" "0211" "02122" "02212" "02213" "0232" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "0232" "02221" "02213" "02211" "0211" "02221" "0211" "02211" "0211"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "0121" "02211" "011" "02212" "02122" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "0122" "0122" "0232" "0122" "02213" "0121" "0231" "0122" "0232"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "0232" "0211" "02221" "02221" "0233" "02221" "0121" "0232" "0123"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "013" "02221" "02122" "0231" "0121" "02221"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "0211" "02211" "0232" "02221" "0231" "02211" "02221" "011"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02221" "011" "0211" "02212" "0211" "02213" "02221" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "0211" "02211" "02211" "0211" "02221" "0211" "02221" "02222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "0232" "02211" "02213" "02122" "0223" "0122" "02221" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "02221" "0211" "02122" "02221" "02221" "0211" "02122" "011"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 1106))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "0232" "0233" "01" "01" "0231" "02221" "0232" "02221"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "0232" "01" "0231" "0233" "0231" "0232"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "01" "01" "0233" "02221" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "01" "01" "0231" "0231" "01" "02121" "02221" "01"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02222" "0233" "01" "01" "01" "02221" "0232" "0231" "01"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "0232" "0231" "01" "02211" "0233" "01"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "01" "01" "02211" "0223" "02213" "02221" "02221" "0223" "0232"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "0232" "0232" "0232" "02211" "01" "02121" "02221" "01" "01"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "0232" "0223" "0232" "0233" "0231" "0231" "0233" "01" "02221"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01" "02221" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "01" "0231" "01" "01" "01" "01" "0231" "0231" "01"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "01" "01" "01" "01" "0232" "01" "01" "01" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "01" "01" "01" "01" "01" "01" "0231" "01" "01"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "01" "0231" "01" "01" "01" "02221" "01" "01" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "01" "01" "01" "01" "01" "01" "02211" "01"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "01" "01" "0223" "01" "01" "02121" "01" "01" "01"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "01" "0231" "0211" "01" "0233" "01" "0231" "01" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "01" "01" "0233" "0233" "01" "01" "01" "01" "01"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "01" "01" "01" "01" "0231" "01" "02221" "01"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "01" "01" "01" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "01" "01" "01" "0231" "01" "0231" "01" "01" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "01" "01" "0231" "01" "01" "0231" "01" "01" "01"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01" "01" "01" "01" "01" "0231" "01" "0232" "01"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "01" "0232" "0231" "01" "02221" "01" "01" "01" "01"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "01" "0231" "01" "01" "01" "01" "01" "01" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02221" "01" "01" "01" "01" "0211" "01" "01" "01"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "01" "01" "01" "0232" "01" "01" "01" "02221"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "01" "01" "01" "01" "01" "0233" "01" "01" "01"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01" "01" "0231" "02221" "02221" "02221" "01" "01" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "01" "02221" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "01" "0232" "01" "02221" "02221" "01" "01" "01" "02221"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "01" "01" "0231" "01" "01" "01" "02221"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "01" "02212" "0231" "01" "01" "01" "02221" "0211" "02221"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01" "01" "01" "01" "01" "02221" "01" "0211" "01"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01" "01" "02221" "0233" "01" "0223" "0232" "0223" "01"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01" "02213" "02211" "01" "0211" "02221" "0232" "0232" "01"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "01" "01" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "01" "01" "02221" "01" "01" "01" "02122" "02221" "01"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "02221"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "01" "01" "0233" "01" "01" "01" "01" "01" "01"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "0232" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01" "02221" "01" "01" "0231" "01" "02221" "01" "01"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "01" "01" "01" "01" "0232" "01" "01" "01" "01"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "0211" "01" "02121" "0232" "02222" "0211" "0211"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "01" "01" "0233" "02221" "0232" "0211" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01" "0211" "01" "02212" "0223" "0223" "0211" "01" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "01" "0211" "01" "0233" "0211" "0211" "0233" "0211" "0211"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "01" "0223" "02121" "02122" "02122" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "0232" "0233" "01" "02121" "01" "0211" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "0211" "0211" "0223" "01" "0223" "0211" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "01" "0211" "0211" "0211" "02122" "0223" "0211" "0223" "01"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "01" "01" "02122" "02221" "02121" "0223" "0233" "01" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "0211" "01" "02122" "02123" "02122" "02122" "01" "02221"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "0211" "0223" "0233" "0211" "01" "01" "0231" "0211"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "0211" "02221" "0233" "01" "01" "0211" "02221" "01" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "01" "0223" "0211" "0231" "01" "0233" "0211" "0211" "0211"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "01" "01" "01" "0233" "01" "0211" "0211"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "01" "0233" "02221" "0211" "01" "0211" "01" "02222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "0211" "0233" "0211" "02122" "01" "01" "01" "01" "0211"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "01" "01" "01" "0233" "0232" "02121" "02121" "0233" "0211"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "01" "01" "02121" "0211" "01" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "01" "01" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "0211" "01" "02221" "0211" "02211" "0233" "0211" "0211" "01"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "0211" "0211" "01" "01" "01" "0211" "02221" "01"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "0211" "0223" "01" "0231" "01" "01" "0232" "01" "01"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "01" "01" "0231" "01" "01" "01" "0231" "01" "01"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "01" "01" "01" "01" "01" "01" "0232" "01" "02222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "0232" "01" "01" "01" "01" "01" "0233" "01" "01"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "01" "0233" "01" "01" "01" "01" "01" "01" "01"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "01" "01" "01" "0233" "0233" "0211" "0233" "0211"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "01" "01" "0233" "01" "01" "01" "0233" "01" "0232"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "01" "01" "0211" "0233" "01" "01" "01" "0233" "01"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "0211" "01" "01" "0211" "01" "0223" "01" "0231" "0211"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "0211" "0233" "0211" "02123" "0223" "02122" "01" "0233" "0211"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "0211" "0233" "0211" "01" "0211" "01" "0233" "0211" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "01" "0211" "02121" "0223" "0232" "0232" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "0211" "0233" "01" "0211" "0211" "0211" "0232" "0233" "01"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "01" "0233" "0233" "0211" "02123" "02213" "01" "01"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "01" "02213" "01" "01" "0232" "0231" "01" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "0211" "0233" "0233" "0211" "02122" "0233" "0211" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "01" "0211" "02222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "01" "01" "0211" "01" "0223" "0211" "01" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "0233" "02121" "02121" "0211" "01" "01" "01"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "01" "01" "01" "02212" "01" "01" "01"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "01" "01" "0232" "01" "0231" "01" "01" "01" "01"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01" "01" "0232" "01" "01" "01" "01" "02221" "01"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "01" "01" "01" "01" "01" "0232" "01" "01" "0232"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "01" "01" "01" "01" "02221" "0231" "01" "0232" "02221"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01" "01" "01" "0211" "01" "0223" "01" "0233" "02221"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02221" "0232" "02221" "02222" "01" "01" "01" "01" "01"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "01" "01" "01" "01" "0233" "02221" "0233" "01"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "01" "02221" "02221" "01" "01" "01" "01" "01" "01"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02221" "01" "01" "0211" "01" "01" "0211" "0211" "01"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "01" "0223" "01" "01" "01" "0232" "0211" "01" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "01" "02212" "01" "02212" "01" "02121" "01" "01"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "01" "0211" "01" "02212" "01" "01" "01" "01" "01"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "01" "01" "01" "01" "02222" "01" "02221" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "01" "01" "01" "01" "01" "01" "01"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "01" "01" "01" "01" "01" "02213" "01" "01" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01" "01" "0223" "01" "02222" "01" "01" "01" "01"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01" "01" "0211" "02213" "01" "0211" "01" "01" "01"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01" "01" "01" "01" "01" "0211" "01" "02122" "01"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "01" "01" "0211" "01" "01" "02121" "01" "01"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01" "0211" "01" "01" "01" "01" "01" "0211" "0211"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01" "01" "0232" "01" "01" "0211" "02123" "0231" "01"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "01" "01" "0211" "01" "01" "01" "01" "01" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01" "01" "01" "01" "0211" "02211" "01" "01" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "01" "01" "02121" "0211" "01" "02121" "01" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "01" "02123" "01" "02213" "02213" "01" "02211" "01"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "01" "01" "02211" "01" "0233" "02212" "01" "01"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "01" "01" "01" "01" "01" "02212" "01" "01" "01"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "01" "0211" "01" "01" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "01" "01" "02221" "02122" "02213" "0211" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "02221" "02211" "0233" "01" "0211" "02213" "0211"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "02222" "01" "0223" "0211" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "0232" "02222" "02222" "0233" "01" "01" "02222" "01"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02222" "0232" "02213" "02212" "01" "01" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "02221" "02222" "0223" "02212" "0223" "02222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02221" "02212" "01" "02211" "02211" "02221" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02221" "02211" "02213" "02222" "02222" "02213" "02222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02222" "02212" "01" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "0232" "0233" "0233" "02211" "02122" "02213" "0232" "0232"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "0232" "02121" "01" "0211" "01" "01" "01" "01" "01"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "01" "0211" "0211" "01" "01" "01" "0211" "01" "01"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "01" "01" "0211" "02221" "01" "0211" "01" "01" "01"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "01" "01" "01" "01" "0211" "01" "01" "0211" "01"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "01" "01" "0211" "0211" "0211" "0232" "01" "01" "0211"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "0211" "01" "01" "01" "0211" "0211" "02122" "01" "0211"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "01" "01" "0211" "0211" "0211" "0211" "01" "01" "0211"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "01" "0211" "01" "01" "02121" "0211" "0211" "01" "01"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "01" "0211" "0211" "0211" "01" "01" "0211" "0211" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "0211" "01" "0211" "01" "0211" "01" "0211" "02121" "0211"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "01" "01" "01" "0211" "01" "0211" "01" "01" "01"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "0211" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "0211" "02212" "02121" "01" "01" "01" "0233" "01" "0211"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "01" "0211" "02121" "02212" "02222" "0233" "0211"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "0211" "0233" "0211" "0223" "0223" "02121" "01" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "0211" "02123" "02121" "02212" "02122" "02122" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "0211" "02212" "02212" "0211" "02221" "0211" "02211" "0233" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "0211" "02121" "02123" "0211" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "0211" "0223" "02123" "01" "02222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "0233" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "01" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "01" "02121" "0223" "0211" "0211" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "01" "02122" "0211" "02212" "02122" "0211" "0211" "0211"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "0211" "02122" "0223" "0211" "0211" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "0211" "01" "0211" "0211" "0211" "0232" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "01" "01" "01" "02121" "01" "0211" "0211" "0211" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "0211" "02121" "01" "02122" "0211" "0211" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "01" "01" "02122" "02212" "0232" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01" "02121" "02122" "0211" "02123" "02121" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "01" "02123" "02123" "02212" "02212" "02212" "01" "0211" "01"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "01" "02222" "0211"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "0211" "01" "0211" "02212" "02123" "02222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "0211" "01" "0211" "02122" "02212" "02213" "0232" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "0232" "02221" "02213" "02211" "0211" "02221" "0211" "02211" "0211"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "01" "02211" "01" "02212" "02122" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "01" "01" "0232" "01" "02213" "01" "0231" "01" "0232"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "0232" "0211" "02221" "02221" "0233" "02221" "01" "0232" "01"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "01" "02221" "02122" "0231" "01" "02221"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "0211" "02211" "0232" "02221" "0231" "02211" "02221" "01"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02221" "01" "0211" "02212" "0211" "02213" "02221" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "0211" "02211" "02211" "0211" "02221" "0211" "02221" "02222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "0232" "02211" "02213" "02122" "0223" "01" "02221" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "02221" "0211" "02122" "02221" "02221" "0211" "02122" "01"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 1406))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "0232" "0233" "01" "01" "0231" "0222" "0232" "0222"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "0232" "01" "0231" "0233" "0231" "0232"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "01" "01" "0233" "0222" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "01" "01" "0231" "0231" "01" "02121" "0222" "01"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "0222" "0233" "01" "01" "01" "0222" "0232" "0231" "01"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "0232" "0231" "01" "02211" "0233" "01"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "01" "01" "02211" "0223" "02213" "0222" "0222" "0223" "0232"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "0232" "0232" "0232" "02211" "01" "02121" "0222" "01" "01"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "0232" "0223" "0232" "0233" "0231" "0231" "0233" "01" "0222"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01" "0222" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "01" "0231" "01" "01" "01" "01" "0231" "0231" "01"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "01" "01" "01" "01" "0232" "01" "01" "01" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "01" "01" "01" "01" "01" "01" "0231" "01" "01"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "01" "0231" "01" "01" "01" "0222" "01" "01" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "01" "01" "01" "01" "01" "01" "02211" "01"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "01" "01" "0223" "01" "01" "02121" "01" "01" "01"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "01" "0231" "0211" "01" "0233" "01" "0231" "01" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "01" "01" "0233" "0233" "01" "01" "01" "01" "01"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "01" "01" "01" "01" "0231" "01" "0222" "01"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "01" "01" "01" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "01" "01" "01" "0231" "01" "0231" "01" "01" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "01" "01" "0231" "01" "01" "0231" "01" "01" "01"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01" "01" "01" "01" "01" "0231" "01" "0232" "01"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "01" "0232" "0231" "01" "0222" "01" "01" "01" "01"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "01" "0231" "01" "01" "01" "01" "01" "01" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "0222" "01" "01" "01" "01" "0211" "01" "01" "01"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "01" "01" "01" "0232" "01" "01" "01" "0222"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "01" "01" "01" "01" "01" "0233" "01" "01" "01"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01" "01" "0231" "0222" "0222" "0222" "01" "01" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "01" "0222" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "01" "0232" "01" "0222" "0222" "01" "01" "01" "0222"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "01" "01" "0231" "01" "01" "01" "0222"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "01" "02212" "0231" "01" "01" "01" "0222" "0211" "0222"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01" "01" "01" "01" "01" "0222" "01" "0211" "01"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01" "01" "0222" "0233" "01" "0223" "0232" "0223" "01"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01" "02213" "02211" "01" "0211" "0222" "0232" "0232" "01"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "01" "01" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "01" "01" "0222" "01" "01" "01" "02122" "0222" "01"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0222"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "01" "01" "0233" "01" "01" "01" "01" "01" "01"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "0232" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01" "0222" "01" "01" "0231" "01" "0222" "01" "01"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "01" "01" "01" "01" "0232" "01" "01" "01" "01"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "0211" "01" "02121" "0232" "0222" "0211" "0211"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "01" "01" "0233" "0222" "0232" "0211" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01" "0211" "01" "02212" "0223" "0223" "0211" "01" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "01" "0211" "01" "0233" "0211" "0211" "0233" "0211" "0211"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "01" "0223" "02121" "02122" "02122" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "0232" "0233" "01" "02121" "01" "0211" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "0211" "0211" "0223" "01" "0223" "0211" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "01" "0211" "0211" "0211" "02122" "0223" "0211" "0223" "01"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "01" "01" "02122" "0222" "02121" "0223" "0233" "01" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "0211" "01" "02122" "02123" "02122" "02122" "01" "0222"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "0211" "0223" "0233" "0211" "01" "01" "0231" "0211"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "0211" "0222" "0233" "01" "01" "0211" "0222" "01" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "01" "0223" "0211" "0231" "01" "0233" "0211" "0211" "0211"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "01" "01" "01" "0233" "01" "0211" "0211"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "01" "0233" "0222" "0211" "01" "0211" "01" "0222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "0211" "0233" "0211" "02122" "01" "01" "01" "01" "0211"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "01" "01" "01" "0233" "0232" "02121" "02121" "0233" "0211"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "01" "01" "02121" "0211" "01" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "01" "01" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "0211" "01" "0222" "0211" "02211" "0233" "0211" "0211" "01"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "0211" "0211" "01" "01" "01" "0211" "0222" "01"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "0211" "0223" "01" "0231" "01" "01" "0232" "01" "01"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "01" "01" "0231" "01" "01" "01" "0231" "01" "01"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "01" "01" "01" "01" "01" "01" "0232" "01" "0222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "0232" "01" "01" "01" "01" "01" "0233" "01" "01"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "01" "0233" "01" "01" "01" "01" "01" "01" "01"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "01" "01" "01" "0233" "0233" "0211" "0233" "0211"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "01" "01" "0233" "01" "01" "01" "0233" "01" "0232"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "01" "01" "0211" "0233" "01" "01" "01" "0233" "01"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "0211" "01" "01" "0211" "01" "0223" "01" "0231" "0211"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "0211" "0233" "0211" "02123" "0223" "02122" "01" "0233" "0211"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "0211" "0233" "0211" "01" "0211" "01" "0233" "0211" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "01" "0211" "02121" "0223" "0232" "0232" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "0211" "0233" "01" "0211" "0211" "0211" "0232" "0233" "01"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "01" "0233" "0233" "0211" "02123" "02213" "01" "01"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "01" "02213" "01" "01" "0232" "0231" "01" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "0211" "0233" "0233" "0211" "02122" "0233" "0211" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "01" "0211" "0222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "01" "01" "0211" "01" "0223" "0211" "01" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "0233" "02121" "02121" "0211" "01" "01" "01"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "01" "01" "01" "02212" "01" "01" "01"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "01" "01" "0232" "01" "0231" "01" "01" "01" "01"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01" "01" "0232" "01" "01" "01" "01" "0222" "01"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "01" "01" "01" "01" "01" "0232" "01" "01" "0232"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "01" "01" "01" "01" "0222" "0231" "01" "0232" "0222"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01" "01" "01" "0211" "01" "0223" "01" "0233" "0222"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "0222" "0232" "0222" "0222" "01" "01" "01" "01" "01"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "01" "01" "01" "01" "0233" "0222" "0233" "01"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "01" "0222" "0222" "01" "01" "01" "01" "01" "01"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "0222" "01" "01" "0211" "01" "01" "0211" "0211" "01"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "01" "0223" "01" "01" "01" "0232" "0211" "01" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "01" "02212" "01" "02212" "01" "02121" "01" "01"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "01" "0211" "01" "02212" "01" "01" "01" "01" "01"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "01" "01" "01" "01" "0222" "01" "0222" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "01" "01" "01" "01" "01" "01" "01"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "01" "01" "01" "01" "01" "02213" "01" "01" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01" "01" "0223" "01" "0222" "01" "01" "01" "01"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01" "01" "0211" "02213" "01" "0211" "01" "01" "01"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01" "01" "01" "01" "01" "0211" "01" "02122" "01"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "01" "01" "0211" "01" "01" "02121" "01" "01"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01" "0211" "01" "01" "01" "01" "01" "0211" "0211"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01" "01" "0232" "01" "01" "0211" "02123" "0231" "01"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "01" "01" "0211" "01" "01" "01" "01" "01" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01" "01" "01" "01" "0211" "02211" "01" "01" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "01" "01" "02121" "0211" "01" "02121" "01" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "01" "02123" "01" "02213" "02213" "01" "02211" "01"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "01" "01" "02211" "01" "0233" "02212" "01" "01"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "01" "01" "01" "01" "01" "02212" "01" "01" "01"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "01" "0211" "01" "01" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "01" "01" "0222" "02122" "02213" "0211" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "0222" "02211" "0233" "01" "0211" "02213" "0211"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "0222" "01" "0223" "0211" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "0232" "0222" "0222" "0233" "01" "01" "0222" "01"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "0222" "0232" "02213" "02212" "01" "01" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "0222" "0222" "0223" "02212" "0223" "0222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "0222" "02212" "01" "02211" "02211" "0222" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "0222" "02211" "02213" "0222" "0222" "02213" "0222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "0222" "02212" "01" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "0232" "0233" "0233" "02211" "02122" "02213" "0232" "0232"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "0232" "02121" "01" "0211" "01" "01" "01" "01" "01"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "01" "0211" "0211" "01" "01" "01" "0211" "01" "01"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "01" "01" "0211" "0222" "01" "0211" "01" "01" "01"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "01" "01" "01" "01" "0211" "01" "01" "0211" "01"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "01" "01" "0211" "0211" "0211" "0232" "01" "01" "0211"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "0211" "01" "01" "01" "0211" "0211" "02122" "01" "0211"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "01" "01" "0211" "0211" "0211" "0211" "01" "01" "0211"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "01" "0211" "01" "01" "02121" "0211" "0211" "01" "01"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "01" "0211" "0211" "0211" "01" "01" "0211" "0211" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "0211" "01" "0211" "01" "0211" "01" "0211" "02121" "0211"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "01" "01" "01" "0211" "01" "0211" "01" "01" "01"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "0211" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "0211" "02212" "02121" "01" "01" "01" "0233" "01" "0211"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "01" "0211" "02121" "02212" "0222" "0233" "0211"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "0211" "0233" "0211" "0223" "0223" "02121" "01" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "0211" "02123" "02121" "02212" "02122" "02122" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "0211" "02212" "02212" "0211" "0222" "0211" "02211" "0233" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "0211" "02121" "02123" "0211" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "0211" "0223" "02123" "01" "0222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "0233" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "01" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "01" "02121" "0223" "0211" "0211" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "01" "02122" "0211" "02212" "02122" "0211" "0211" "0211"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "0211" "02122" "0223" "0211" "0211" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "0211" "01" "0211" "0211" "0211" "0232" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "01" "01" "01" "02121" "01" "0211" "0211" "0211" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "0211" "02121" "01" "02122" "0211" "0211" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "01" "01" "02122" "02212" "0232" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01" "02121" "02122" "0211" "02123" "02121" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "01" "02123" "02123" "02212" "02212" "02212" "01" "0211" "01"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "01" "0222" "0211"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "0211" "01" "0211" "02212" "02123" "0222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "0211" "01" "0211" "02122" "02212" "02213" "0232" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "0232" "0222" "02213" "02211" "0211" "0222" "0211" "02211" "0211"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "01" "02211" "01" "02212" "02122" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "01" "01" "0232" "01" "02213" "01" "0231" "01" "0232"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "0232" "0211" "0222" "0222" "0233" "0222" "01" "0232" "01"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "01" "0222" "02122" "0231" "01" "0222"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "0211" "02211" "0232" "0222" "0231" "02211" "0222" "01"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "0222" "01" "0211" "02212" "0211" "02213" "0222" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "0211" "02211" "02211" "0211" "0222" "0211" "0222" "0222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "0232" "02211" "02213" "02122" "0223" "01" "0222" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "0222" "0211" "02122" "0222" "0222" "0211" "02122" "01"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 1887))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "0232" "0233" "01" "01" "0231" "0222" "0232" "0222"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "0232" "01" "0231" "0233" "0231" "0232"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "01" "01" "0233" "0222" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "01" "01" "0231" "0231" "01" "02121" "0222" "01"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "0222" "0233" "01" "01" "01" "0222" "0232" "0231" "01"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "0232" "0231" "01" "02211" "0233" "01"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "01" "01" "02211" "0223" "02213" "0222" "0222" "0223" "0232"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "0232" "0232" "0232" "02211" "01" "02121" "0222" "01" "01"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "0232" "0223" "0232" "0233" "0231" "0231" "0233" "01" "0222"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01" "0222" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "01" "0231" "01" "01" "01" "01" "0231" "0231" "01"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "01" "01" "01" "01" "0232" "01" "01" "01" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "01" "01" "01" "01" "01" "01" "0231" "01" "01"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "01" "0231" "01" "01" "01" "0222" "01" "01" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "01" "01" "01" "01" "01" "01" "02211" "01"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "01" "01" "0223" "01" "01" "02121" "01" "01" "01"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "01" "0231" "0211" "01" "0233" "01" "0231" "01" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "01" "01" "0233" "0233" "01" "01" "01" "01" "01"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "01" "01" "01" "01" "0231" "01" "0222" "01"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "01" "01" "01" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "01" "01" "01" "0231" "01" "0231" "01" "01" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "01" "01" "0231" "01" "01" "0231" "01" "01" "01"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01" "01" "01" "01" "01" "0231" "01" "0232" "01"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "01" "0232" "0231" "01" "0222" "01" "01" "01" "01"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "01" "0231" "01" "01" "01" "01" "01" "01" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "0222" "01" "01" "01" "01" "0211" "01" "01" "01"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "01" "01" "01" "0232" "01" "01" "01" "0222"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "01" "01" "01" "01" "01" "0233" "01" "01" "01"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01" "01" "0231" "0222" "0222" "0222" "01" "01" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "01" "0222" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "01" "0232" "01" "0222" "0222" "01" "01" "01" "0222"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "01" "01" "0231" "01" "01" "01" "0222"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "01" "02212" "0231" "01" "01" "01" "0222" "0211" "0222"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01" "01" "01" "01" "01" "0222" "01" "0211" "01"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01" "01" "0222" "0233" "01" "0223" "0232" "0223" "01"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01" "02213" "02211" "01" "0211" "0222" "0232" "0232" "01"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "01" "01" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "01" "01" "0222" "01" "01" "01" "02122" "0222" "01"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0222"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "01" "01" "0233" "01" "01" "01" "01" "01" "01"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "0232" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01" "0222" "01" "01" "0231" "01" "0222" "01" "01"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "01" "01" "01" "01" "0232" "01" "01" "01" "01"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02121" "02121" "0211" "01" "02121" "0232" "0222" "0211" "0211"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02121" "01" "01" "0233" "0222" "0232" "0211" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01" "0211" "01" "02212" "0223" "0223" "0211" "01" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "01" "0211" "01" "0233" "0211" "0211" "0233" "0211" "0211"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "01" "0223" "02121" "02122" "02122" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "0232" "0233" "01" "02121" "01" "0211" "02122" "02121" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02122" "0211" "0211" "0223" "01" "0223" "0211" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "01" "0211" "0211" "0211" "02122" "0223" "0211" "0223" "01"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "01" "01" "02122" "0222" "02121" "0223" "0233" "01" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02121" "0211" "01" "02122" "02123" "02122" "02122" "01" "0222"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "0211" "0223" "0233" "0211" "01" "01" "0231" "0211"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "0211" "0222" "0233" "01" "01" "0211" "0222" "01" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "01" "0223" "0211" "0231" "01" "0233" "0211" "0211" "0211"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "01" "01" "01" "0233" "01" "0211" "0211"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "01" "0233" "0222" "0211" "01" "0211" "01" "0222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "0211" "0233" "0211" "02122" "01" "01" "01" "01" "0211"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "01" "01" "01" "0233" "0232" "02121" "02121" "0233" "0211"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "01" "01" "02121" "0211" "01" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "01" "01" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "0211" "01" "0222" "0211" "02211" "0233" "0211" "0211" "01"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "0211" "0211" "01" "01" "01" "0211" "0222" "01"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "0211" "0223" "01" "0231" "01" "01" "0232" "01" "01"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "01" "01" "0231" "01" "01" "01" "0231" "01" "01"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "01" "01" "01" "01" "01" "01" "0232" "01" "0222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "0232" "01" "01" "01" "01" "01" "0233" "01" "01"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "01" "0233" "01" "01" "01" "01" "01" "01" "01"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "01" "01" "01" "0233" "0233" "0211" "0233" "0211"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "01" "01" "0233" "01" "01" "01" "0233" "01" "0232"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "01" "01" "0211" "0233" "01" "01" "01" "0233" "01"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "0211" "01" "01" "0211" "01" "0223" "01" "0231" "0211"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "0211" "0233" "0211" "02123" "0223" "02122" "01" "0233" "0211"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "0211" "0233" "0211" "01" "0211" "01" "0233" "0211" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "01" "0211" "02121" "0223" "0232" "0232" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "0211" "0233" "01" "0211" "0211" "0211" "0232" "0233" "01"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "01" "0233" "0233" "0211" "02123" "02213" "01" "01"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "01" "02213" "01" "01" "0232" "0231" "01" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "0211" "0233" "0233" "0211" "02122" "0233" "0211" "02121" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "01" "0211" "0222" "02122" "0223" "0223" "02121"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "01" "01" "0211" "01" "0223" "0211" "01" "02122"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02121" "0231" "0233" "02121" "02121" "0211" "01" "01" "01"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02121" "02121" "01" "01" "01" "02212" "01" "01" "01"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "01" "01" "0232" "01" "0231" "01" "01" "01" "01"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01" "01" "0232" "01" "01" "01" "01" "0222" "01"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "01" "01" "01" "01" "01" "0232" "01" "01" "0232"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "01" "01" "01" "01" "0222" "0231" "01" "0232" "0222"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01" "01" "01" "0211" "01" "0223" "01" "0233" "0222"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "0222" "0232" "0222" "0222" "01" "01" "01" "01" "01"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "01" "01" "01" "01" "0233" "0222" "0233" "01"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "01" "0222" "0222" "01" "01" "01" "01" "01" "01"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "0222" "01" "01" "0211" "01" "01" "0211" "0211" "01"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "01" "0223" "01" "01" "01" "0232" "0211" "01" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02122" "01" "02212" "01" "02212" "01" "02121" "01" "01"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "01" "0211" "01" "02212" "01" "01" "01" "01" "01"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02122" "01" "01" "01" "01" "0222" "01" "0222" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "01" "01" "01" "01" "01" "01" "01"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "01" "01" "01" "01" "01" "02213" "01" "01" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01" "01" "0223" "01" "0222" "01" "01" "01" "01"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01" "01" "0211" "02213" "01" "0211" "01" "01" "01"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01" "01" "01" "01" "01" "0211" "01" "02122" "01"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "01" "01" "0211" "01" "01" "02121" "01" "01"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01" "0211" "01" "01" "01" "01" "01" "0211" "0211"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01" "01" "0232" "01" "01" "0211" "02123" "0231" "01"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "01" "01" "0211" "01" "01" "01" "01" "01" "02121"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01" "01" "01" "01" "0211" "02211" "01" "01" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02123" "01" "01" "02121" "0211" "01" "02121" "01" "02121"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "01" "02123" "01" "02213" "02213" "01" "02211" "01"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "01" "01" "02211" "01" "0233" "02212" "01" "01"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "01" "01" "01" "01" "01" "02212" "01" "01" "01"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "01" "0211" "01" "01" "02123" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "01" "01" "0222" "02122" "02213" "0211" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "0222" "02211" "0233" "01" "0211" "02213" "0211"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "0222" "01" "0223" "0211" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "0232" "0222" "0222" "0233" "01" "01" "0222" "01"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "0222" "0232" "02213" "02212" "01" "01" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "0222" "0222" "0223" "02212" "0223" "0222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "0222" "02212" "01" "02211" "02211" "0222" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "0222" "02211" "02213" "0222" "0222" "02213" "0222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "0222" "02212" "01" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "0232" "0233" "0233" "02211" "02122" "02213" "0232" "0232"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "0232" "02121" "01" "0211" "01" "01" "01" "01" "01"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "01" "0211" "0211" "01" "01" "01" "0211" "01" "01"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "01" "01" "0211" "0222" "01" "0211" "01" "01" "01"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "01" "01" "01" "01" "0211" "01" "01" "0211" "01"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "01" "01" "0211" "0211" "0211" "0232" "01" "01" "0211"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "0211" "01" "01" "01" "0211" "0211" "02122" "01" "0211"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "01" "01" "0211" "0211" "0211" "0211" "01" "01" "0211"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "01" "0211" "01" "01" "02121" "0211" "0211" "01" "01"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "01" "0211" "0211" "0211" "01" "01" "0211" "0211" "02122"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "0211" "01" "0211" "01" "0211" "01" "0211" "02121" "0211"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "01" "01" "01" "0211" "01" "0211" "01" "01" "01"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02122" "02122" "02123" "02123" "02123" "0211" "02121" "02122" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "0211" "02212" "02121" "01" "01" "01" "0233" "01" "0211"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02121" "0223" "01" "0211" "02121" "02212" "0222" "0233" "0211"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "0211" "0233" "0211" "0223" "0223" "02121" "01" "02121" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02123" "0211" "02123" "02121" "02212" "02122" "02122" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "0211" "02212" "02212" "0211" "0222" "0211" "02211" "0233" "02123"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02122" "0223" "02122" "02212" "0211" "02121" "02123" "0211" "02123"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "0211" "0223" "02123" "01" "0222" "02211" "02121" "02121" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02122" "02122" "02123" "02212" "02123" "02212" "0233" "02123" "02121"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02123" "02123" "0223" "01" "02213" "02123" "02122" "02122" "02121"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02123" "02213" "02122" "01" "02121" "0223" "0211" "0211" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "01" "02122" "0211" "02212" "02122" "0211" "0211" "0211"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02121" "02123" "02122" "0211" "02122" "0223" "0211" "0211" "02123"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02121" "02212" "0211" "01" "0211" "0211" "0211" "0232" "02121"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "01" "01" "01" "02121" "01" "0211" "0211" "0211" "02122"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "0211" "02121" "01" "02122" "0211" "0211" "02122" "02122" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02123" "01" "01" "02122" "02212" "0232" "02123" "02123" "02121"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01" "02121" "02122" "0211" "02123" "02121" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "01" "02123" "02123" "02212" "02212" "02212" "01" "0211" "01"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "02121" "02211" "02213" "02212" "01" "0222" "0211"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02122" "02212" "02123" "0211" "01" "0211" "02212" "02123" "0222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02121" "0211" "01" "0211" "02122" "02212" "02213" "0232" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "0232" "0222" "02213" "02211" "0211" "0222" "0211" "02211" "0211"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "01" "02211" "01" "02212" "02122" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "01" "01" "0232" "01" "02213" "01" "0231" "01" "0232"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "0232" "0211" "0222" "0222" "0233" "0222" "01" "0232" "01"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "01" "0222" "02122" "0231" "01" "0222"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02122" "0211" "02211" "0232" "0222" "0231" "02211" "0222" "01"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "0222" "01" "0211" "02212" "0211" "02213" "0222" "02123" "02122"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "0211" "02211" "02211" "0211" "0222" "0211" "0222" "0222" "02122"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "0232" "02211" "02213" "02122" "0223" "01" "0222" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "0222" "0211" "02122" "0222" "0222" "0211" "02122" "01"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 1958))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "0232" "0233" "01" "01" "0231" "0222" "0232" "0222"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "0232" "01" "0231" "0233" "0231" "0232"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "01" "01" "0233" "0222" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "01" "01" "0231" "0231" "01" "021" "0222" "01"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "0222" "0233" "01" "01" "01" "0222" "0232" "0231" "01"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "0232" "0231" "01" "02211" "0233" "01"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "01" "01" "02211" "0223" "02213" "0222" "0222" "0223" "0232"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "0232" "0232" "0232" "02211" "01" "021" "0222" "01" "01"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "0232" "0223" "0232" "0233" "0231" "0231" "0233" "01" "0222"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01" "0222" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "01" "0231" "01" "01" "01" "01" "0231" "0231" "01"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "01" "01" "01" "01" "0232" "01" "01" "01" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "01" "01" "01" "01" "01" "01" "0231" "01" "01"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "01" "0231" "01" "01" "01" "0222" "01" "01" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "01" "01" "01" "01" "01" "01" "02211" "01"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "01" "01" "0223" "01" "01" "021" "01" "01" "01"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "01" "0231" "021" "01" "0233" "01" "0231" "01" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "01" "01" "0233" "0233" "01" "01" "01" "01" "01"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "01" "01" "01" "01" "0231" "01" "0222" "01"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "01" "01" "01" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "01" "01" "01" "0231" "01" "0231" "01" "01" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "01" "01" "0231" "01" "01" "0231" "01" "01" "01"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01" "01" "01" "01" "01" "0231" "01" "0232" "01"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "01" "0232" "0231" "01" "0222" "01" "01" "01" "01"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "01" "0231" "01" "01" "01" "01" "01" "01" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "0222" "01" "01" "01" "01" "021" "01" "01" "01"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "01" "01" "01" "0232" "01" "01" "01" "0222"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "01" "01" "01" "01" "01" "0233" "01" "01" "01"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01" "01" "0231" "0222" "0222" "0222" "01" "01" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "01" "0222" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "01" "0232" "01" "0222" "0222" "01" "01" "01" "0222"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "01" "01" "0231" "01" "01" "01" "0222"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "01" "02212" "0231" "01" "01" "01" "0222" "021" "0222"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01" "01" "01" "01" "01" "0222" "01" "021" "01"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01" "01" "0222" "0233" "01" "0223" "0232" "0223" "01"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01" "02213" "02211" "01" "021" "0222" "0232" "0232" "01"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "01" "01" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "01" "01" "0222" "01" "01" "01" "021" "0222" "01"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0222"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "01" "01" "0233" "01" "01" "01" "01" "01" "01"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "0232" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01" "0222" "01" "01" "0231" "01" "0222" "01" "01"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "01" "01" "01" "01" "0232" "01" "01" "01" "01"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "021" "021" "021" "01" "021" "0232" "0222" "021" "021"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "021" "01" "01" "0233" "0222" "0232" "021" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01" "021" "01" "02212" "0223" "0223" "021" "01" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "01" "021" "01" "0233" "021" "021" "0233" "021" "021"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "01" "0223" "021" "021" "021" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "0232" "0233" "01" "021" "01" "021" "021" "021" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "021" "021" "021" "0223" "01" "0223" "021" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "01" "021" "021" "021" "021" "0223" "021" "0223" "01"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "01" "01" "021" "0222" "021" "0223" "0233" "01" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "021" "021" "01" "021" "021" "021" "021" "01" "0222"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "021" "0223" "0233" "021" "01" "01" "0231" "021"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "021" "0222" "0233" "01" "01" "021" "0222" "01" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "01" "0223" "021" "0231" "01" "0233" "021" "021" "021"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "01" "01" "01" "0233" "01" "021" "021"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "01" "0233" "0222" "021" "01" "021" "01" "0222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "021" "0233" "021" "021" "01" "01" "01" "01" "021"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "01" "01" "01" "0233" "0232" "021" "021" "0233" "021"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "01" "01" "021" "021" "01" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "01" "01" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "021" "01" "0222" "021" "02211" "0233" "021" "021" "01"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "021" "021" "01" "01" "01" "021" "0222" "01"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "021" "0223" "01" "0231" "01" "01" "0232" "01" "01"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "01" "01" "0231" "01" "01" "01" "0231" "01" "01"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "01" "01" "01" "01" "01" "01" "0232" "01" "0222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "0232" "01" "01" "01" "01" "01" "0233" "01" "01"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "01" "0233" "01" "01" "01" "01" "01" "01" "01"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "01" "01" "01" "0233" "0233" "021" "0233" "021"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "01" "01" "0233" "01" "01" "01" "0233" "01" "0232"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "01" "01" "021" "0233" "01" "01" "01" "0233" "01"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "021" "01" "01" "021" "01" "0223" "01" "0231" "021"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "021" "0233" "021" "021" "0223" "021" "01" "0233" "021"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "021" "0233" "021" "01" "021" "01" "0233" "021" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "01" "021" "021" "0223" "0232" "0232" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "021" "0233" "01" "021" "021" "021" "0232" "0233" "01"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "01" "0233" "0233" "021" "021" "02213" "01" "01"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "01" "02213" "01" "01" "0232" "0231" "01" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "021" "0233" "0233" "021" "021" "0233" "021" "021" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "01" "021" "0222" "021" "0223" "0223" "021"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "01" "01" "021" "01" "0223" "021" "01" "021"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "021" "0231" "0233" "021" "021" "021" "01" "01" "01"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "021" "021" "01" "01" "01" "02212" "01" "01" "01"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "01" "01" "0232" "01" "0231" "01" "01" "01" "01"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01" "01" "0232" "01" "01" "01" "01" "0222" "01"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "01" "01" "01" "01" "01" "0232" "01" "01" "0232"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "01" "01" "01" "01" "0222" "0231" "01" "0232" "0222"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01" "01" "01" "021" "01" "0223" "01" "0233" "0222"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "0222" "0232" "0222" "0222" "01" "01" "01" "01" "01"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "01" "01" "01" "01" "0233" "0222" "0233" "01"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "01" "0222" "0222" "01" "01" "01" "01" "01" "01"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "0222" "01" "01" "021" "01" "01" "021" "021" "01"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "01" "0223" "01" "01" "01" "0232" "021" "01" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "021" "01" "02212" "01" "02212" "01" "021" "01" "01"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "01" "021" "01" "02212" "01" "01" "01" "01" "01"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "021" "01" "01" "01" "01" "0222" "01" "0222" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "01" "01" "01" "01" "01" "01" "01"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "01" "01" "01" "01" "01" "02213" "01" "01" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01" "01" "0223" "01" "0222" "01" "01" "01" "01"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01" "01" "021" "02213" "01" "021" "01" "01" "01"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01" "01" "01" "01" "01" "021" "01" "021" "01"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "01" "01" "021" "01" "01" "021" "01" "01"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01" "021" "01" "01" "01" "01" "01" "021" "021"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01" "01" "0232" "01" "01" "021" "021" "0231" "01"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "01" "01" "021" "01" "01" "01" "01" "01" "021"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01" "01" "01" "01" "021" "02211" "01" "01" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "021" "01" "01" "021" "021" "01" "021" "01" "021"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "01" "021" "01" "02213" "02213" "01" "02211" "01"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "01" "01" "02211" "01" "0233" "02212" "01" "01"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "01" "01" "01" "01" "01" "02212" "01" "01" "01"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "01" "021" "01" "01" "021" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "01" "01" "0222" "021" "02213" "021" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "0222" "02211" "0233" "01" "021" "02213" "021"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "0222" "01" "0223" "021" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "0232" "0222" "0222" "0233" "01" "01" "0222" "01"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "0222" "0232" "02213" "02212" "01" "01" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "0222" "0222" "0223" "02212" "0223" "0222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "0222" "02212" "01" "02211" "02211" "0222" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "0222" "02211" "02213" "0222" "0222" "02213" "0222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "0222" "02212" "01" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "0232" "0233" "0233" "02211" "021" "02213" "0232" "0232"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "0232" "021" "01" "021" "01" "01" "01" "01" "01"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "01" "021" "021" "01" "01" "01" "021" "01" "01"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "01" "01" "021" "0222" "01" "021" "01" "01" "01"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "01" "01" "01" "01" "021" "01" "01" "021" "01"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "01" "01" "021" "021" "021" "0232" "01" "01" "021"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "021" "01" "01" "01" "021" "021" "021" "01" "021"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "01" "01" "021" "021" "021" "021" "01" "01" "021"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "01" "021" "01" "01" "021" "021" "021" "01" "01"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "01" "021" "021" "021" "01" "01" "021" "021" "021"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "021" "01" "021" "01" "021" "01" "021" "021" "021"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "01" "01" "01" "021" "01" "021" "01" "01" "01"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "021" "021" "021" "021" "021" "021" "021" "021" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "021" "02212" "021" "01" "01" "01" "0233" "01" "021"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "021" "0223" "01" "021" "021" "02212" "0222" "0233" "021"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "021" "0233" "021" "0223" "0223" "021" "01" "021" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "021" "021" "021" "021" "02212" "021" "021" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "021" "02212" "02212" "021" "0222" "021" "02211" "0233" "021"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "021" "0223" "021" "02212" "021" "021" "021" "021" "021"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "021" "0223" "021" "01" "0222" "02211" "021" "021" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "021" "021" "021" "02212" "021" "02212" "0233" "021" "021"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "021" "021" "0223" "01" "02213" "021" "021" "021" "021"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "021" "02213" "021" "01" "021" "0223" "021" "021" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "01" "021" "021" "02212" "021" "021" "021" "021"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "021" "021" "021" "021" "021" "0223" "021" "021" "021"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "021" "02212" "021" "01" "021" "021" "021" "0232" "021"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "01" "01" "01" "021" "01" "021" "021" "021" "021"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "021" "021" "01" "021" "021" "021" "021" "021" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "021" "01" "01" "021" "02212" "0232" "021" "021" "021"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01" "021" "021" "021" "021" "021" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "01" "021" "021" "02212" "02212" "02212" "01" "021" "01"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "021" "02211" "02213" "02212" "01" "0222" "021"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "021" "02212" "021" "021" "01" "021" "02212" "021" "0222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "021" "021" "01" "021" "021" "02212" "02213" "0232" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "0232" "0222" "02213" "02211" "021" "0222" "021" "02211" "021"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "01" "02211" "01" "02212" "021" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "01" "01" "0232" "01" "02213" "01" "0231" "01" "0232"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "0232" "021" "0222" "0222" "0233" "0222" "01" "0232" "01"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "01" "0222" "021" "0231" "01" "0222"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "021" "021" "02211" "0232" "0222" "0231" "02211" "0222" "01"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "0222" "01" "021" "02212" "021" "02213" "0222" "021" "021"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "021" "02211" "02211" "021" "0222" "021" "0222" "0222" "021"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "0232" "02211" "02213" "021" "0223" "01" "0222" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "0222" "021" "021" "0222" "0222" "021" "021" "01"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 2465))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "0232" "0233" "01" "01" "0231" "0222" "0232" "0222"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "0232" "01" "0231" "0233" "0231" "0232"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "01" "01" "0233" "0222" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "01" "01" "0231" "0231" "01" "021" "0222" "01"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "0222" "0233" "01" "01" "01" "0222" "0232" "0231" "01"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "0232" "0231" "01" "02211" "0233" "01"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "01" "01" "02211" "0223" "02213" "0222" "0222" "0223" "0232"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "0232" "0232" "0232" "02211" "01" "021" "0222" "01" "01"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "0232" "0223" "0232" "0233" "0231" "0231" "0233" "01" "0222"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01" "0222" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "01" "0231" "01" "01" "01" "01" "0231" "0231" "01"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "01" "01" "01" "01" "0232" "01" "01" "01" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "01" "01" "01" "01" "01" "01" "0231" "01" "01"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "01" "0231" "01" "01" "01" "0222" "01" "01" "02211"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "01" "01" "01" "01" "01" "01" "02211" "01"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "01" "01" "0223" "01" "01" "021" "01" "01" "01"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "01" "0231" "021" "01" "0233" "01" "0231" "01" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "01" "01" "0233" "0233" "01" "01" "01" "01" "01"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "01" "01" "01" "01" "0231" "01" "0222" "01"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "01" "01" "01" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "01" "01" "01" "0231" "01" "0231" "01" "01" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "01" "01" "0231" "01" "01" "0231" "01" "01" "01"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01" "01" "01" "01" "01" "0231" "01" "0232" "01"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "01" "0232" "0231" "01" "0222" "01" "01" "01" "01"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "01" "0231" "01" "01" "01" "01" "01" "01" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "0222" "01" "01" "01" "01" "021" "01" "01" "01"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "01" "01" "01" "0232" "01" "01" "01" "0222"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "01" "01" "01" "01" "01" "0233" "01" "01" "01"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01" "01" "0231" "0222" "0222" "0222" "01" "01" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "01" "0222" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "01" "0232" "01" "0222" "0222" "01" "01" "01" "0222"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "01" "01" "0231" "01" "01" "01" "0222"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "01" "02212" "0231" "01" "01" "01" "0222" "021" "0222"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01" "01" "01" "01" "01" "0222" "01" "021" "01"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01" "01" "0222" "0233" "01" "0223" "0232" "0223" "01"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01" "02213" "02211" "01" "021" "0222" "0232" "0232" "01"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "01" "01" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "01" "01" "0222" "01" "01" "01" "021" "0222" "01"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0222"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "01" "01" "0233" "01" "01" "01" "01" "01" "01"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "0232" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01" "0222" "01" "01" "0231" "01" "0222" "01" "01"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "01" "01" "01" "01" "0232" "01" "01" "01" "01"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "021" "021" "021" "01" "021" "0232" "0222" "021" "021"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "021" "01" "01" "0233" "0222" "0232" "021" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01" "021" "01" "02212" "0223" "0223" "021" "01" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "01" "021" "01" "0233" "021" "021" "0233" "021" "021"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "01" "0223" "021" "021" "021" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "0232" "0233" "01" "021" "01" "021" "021" "021" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "021" "021" "021" "0223" "01" "0223" "021" "02211" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "01" "021" "021" "021" "021" "0223" "021" "0223" "01"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "01" "01" "021" "0222" "021" "0223" "0233" "01" "02211"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "021" "021" "01" "021" "021" "021" "021" "01" "0222"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02212" "021" "0223" "0233" "021" "01" "01" "0231" "021"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "021" "0222" "0233" "01" "01" "021" "0222" "01" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "01" "0223" "021" "0231" "01" "0233" "021" "021" "021"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "02212" "01" "01" "01" "0233" "01" "021" "021"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "01" "0233" "0222" "021" "01" "021" "01" "0222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "021" "0233" "021" "021" "01" "01" "01" "01" "021"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "01" "01" "01" "0233" "0232" "021" "021" "0233" "021"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "01" "01" "021" "021" "01" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "02212" "0233" "0223" "0231" "01" "01" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "021" "01" "0222" "021" "02211" "0233" "021" "021" "01"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "021" "021" "01" "01" "01" "021" "0222" "01"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "021" "0223" "01" "0231" "01" "01" "0232" "01" "01"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "01" "01" "0231" "01" "01" "01" "0231" "01" "01"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "01" "01" "01" "01" "01" "01" "0232" "01" "0222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "0232" "01" "01" "01" "01" "01" "0233" "01" "01"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "01" "0233" "01" "01" "01" "01" "01" "01" "01"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "01" "01" "01" "0233" "0233" "021" "0233" "021"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "01" "01" "0233" "01" "01" "01" "0233" "01" "0232"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "01" "01" "021" "0233" "01" "01" "01" "0233" "01"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "021" "01" "01" "021" "01" "0223" "01" "0231" "021"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "021" "0233" "021" "021" "0223" "021" "01" "0233" "021"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "021" "0233" "021" "01" "021" "01" "0233" "021" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "01" "021" "021" "0223" "0232" "0232" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "021" "0233" "01" "021" "021" "021" "0232" "0233" "01"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02213" "01" "0233" "0233" "021" "021" "02213" "01" "01"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02212" "01" "02213" "01" "01" "0232" "0231" "01" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "021" "0233" "0233" "021" "021" "0233" "021" "021" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "01" "021" "0222" "021" "0223" "0223" "021"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "01" "01" "021" "01" "0223" "021" "01" "021"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "021" "0231" "0233" "021" "021" "021" "01" "01" "01"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "021" "021" "01" "01" "01" "02212" "01" "01" "01"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "01" "01" "0232" "01" "0231" "01" "01" "01" "01"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01" "01" "0232" "01" "01" "01" "01" "0222" "01"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "01" "01" "01" "01" "01" "0232" "01" "01" "0232"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "01" "01" "01" "01" "0222" "0231" "01" "0232" "0222"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01" "01" "01" "021" "01" "0223" "01" "0233" "0222"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "0222" "0232" "0222" "0222" "01" "01" "01" "01" "01"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "01" "01" "01" "01" "0233" "0222" "0233" "01"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "01" "0222" "0222" "01" "01" "01" "01" "01" "01"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "0222" "01" "01" "021" "01" "01" "021" "021" "01"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "01" "0223" "01" "01" "01" "0232" "021" "01" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "021" "01" "02212" "01" "02212" "01" "021" "01" "01"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "01" "021" "01" "02212" "01" "01" "01" "01" "01"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "021" "01" "01" "01" "01" "0222" "01" "0222" "02211"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02213" "02213" "01" "01" "01" "01" "01" "01" "01"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "01" "01" "01" "01" "01" "02213" "01" "01" "02212"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01" "01" "0223" "01" "0222" "01" "01" "01" "01"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01" "01" "021" "02213" "01" "021" "01" "01" "01"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01" "01" "01" "01" "01" "021" "01" "021" "01"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02212" "01" "01" "021" "01" "01" "021" "01" "01"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01" "021" "01" "01" "01" "01" "01" "021" "021"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01" "01" "0232" "01" "01" "021" "021" "0231" "01"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "01" "01" "021" "01" "01" "01" "01" "01" "021"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01" "01" "01" "01" "021" "02211" "01" "01" "02211"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "021" "01" "01" "021" "021" "01" "021" "01" "021"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "01" "021" "01" "02213" "02213" "01" "02211" "01"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02212" "01" "01" "02211" "01" "0233" "02212" "01" "01"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "01" "01" "01" "01" "01" "02212" "01" "01" "01"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "01" "021" "01" "01" "021" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "01" "01" "0222" "021" "02213" "021" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "0222" "02211" "0233" "01" "021" "02213" "021"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "0222" "01" "0223" "021" "02211" "0233" "02211" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "0232" "0222" "0222" "0233" "01" "01" "0222" "01"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "0222" "0232" "02213" "02212" "01" "01" "0233" "02212" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "0222" "0222" "0223" "02212" "0223" "0222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "0222" "02212" "01" "02211" "02211" "0222" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "0222" "02211" "02213" "0222" "0222" "02213" "0222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "0222" "02212" "01" "02212" "0231" "0223" "02213" "02212" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02212" "0232" "0233" "0233" "02211" "021" "02213" "0232" "0232"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "0232" "021" "01" "021" "01" "01" "01" "01" "01"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "01" "021" "021" "01" "01" "01" "021" "01" "01"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "01" "01" "021" "0222" "01" "021" "01" "01" "01"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "01" "01" "01" "01" "021" "01" "01" "021" "01"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "01" "01" "021" "021" "021" "0232" "01" "01" "021"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "021" "01" "01" "01" "021" "021" "021" "01" "021"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "01" "01" "021" "021" "021" "021" "01" "01" "021"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "01" "021" "01" "01" "021" "021" "021" "01" "01"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "01" "021" "021" "021" "01" "01" "021" "021" "021"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "021" "01" "021" "01" "021" "01" "021" "021" "021"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "01" "01" "01" "021" "01" "021" "01" "01" "01"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "021" "021" "021" "021" "021" "021" "021" "021" "02212"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "021" "02212" "021" "01" "01" "01" "0233" "01" "021"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "021" "0223" "01" "021" "021" "02212" "0222" "0233" "021"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "021" "0233" "021" "0223" "0223" "021" "01" "021" "02211"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "021" "021" "021" "021" "02212" "021" "021" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "021" "02212" "02212" "021" "0222" "021" "02211" "0233" "021"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "021" "0223" "021" "02212" "021" "021" "021" "021" "021"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "021" "0223" "021" "01" "0222" "02211" "021" "021" "02212"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "021" "021" "021" "02212" "021" "02212" "0233" "021" "021"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "021" "021" "0223" "01" "02213" "021" "021" "021" "021"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "021" "02213" "021" "01" "021" "0223" "021" "021" "02211"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "01" "021" "021" "02212" "021" "021" "021" "021"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "021" "021" "021" "021" "021" "0223" "021" "021" "021"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "021" "02212" "021" "01" "021" "021" "021" "0232" "021"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "01" "01" "01" "021" "01" "021" "021" "021" "021"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "021" "021" "01" "021" "021" "021" "021" "021" "02212"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "021" "01" "01" "021" "02212" "0232" "021" "021" "021"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01" "021" "021" "021" "021" "021" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "01" "021" "021" "02212" "02212" "02212" "01" "021" "01"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "02212" "021" "02211" "02213" "02212" "01" "0222" "021"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "021" "02212" "021" "021" "01" "021" "02212" "021" "0222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "021" "021" "01" "021" "021" "02212" "02213" "0232" "02211"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "0232" "0222" "02213" "02211" "021" "0222" "021" "02211" "021"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "01" "02211" "01" "02212" "021" "02211" "02213" "02211" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "01" "01" "0232" "01" "02213" "01" "0231" "01" "0232"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "0232" "021" "0222" "0222" "0233" "0222" "01" "0232" "01"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02211" "0231" "0231" "01" "0222" "021" "0231" "01" "0222"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "021" "021" "02211" "0232" "0222" "0231" "02211" "0222" "01"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "0222" "01" "021" "02212" "021" "02213" "0222" "021" "021"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "021" "02211" "02211" "021" "0222" "021" "0222" "0222" "021"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "0232" "02211" "02213" "021" "0223" "01" "0222" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02212" "0222" "021" "021" "0222" "0222" "021" "021" "01"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 2575))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "0231" "0231" "0231" "0223" "0233" "0233" "0233" "0233" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "0231" "0232" "0233" "01" "01" "0231" "0222" "0232" "0222"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "0233" "0233" "0231" "0232" "01" "0231" "0233" "0231" "0232"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "0233" "0223" "0231" "01" "01" "0233" "0222" "0233" "0233"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "0231" "01" "01" "0231" "0231" "01" "021" "0222" "01"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "0222" "0233" "01" "01" "01" "0222" "0232" "0231" "01"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "0233" "0233" "0233" "0232" "0231" "01" "0221" "0233" "01"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "01" "01" "0221" "0223" "0221" "0222" "0222" "0223" "0232"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "0232" "0232" "0232" "0221" "01" "021" "0222" "01" "01"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "0232" "0223" "0232" "0233" "0231" "0231" "0233" "01" "0222"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01" "0222" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "01" "0231" "01" "01" "01" "01" "0231" "0231" "01"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "0231" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "01" "01" "01" "01" "0232" "01" "01" "01" "0233"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "01" "01" "01" "01" "01" "01" "0231" "01" "01"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "01" "0231" "01" "01" "01" "0222" "01" "01" "0221"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "0231" "01" "01" "01" "01" "01" "01" "0221" "01"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "01" "01" "0223" "01" "01" "021" "01" "01" "01"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "01" "0231" "021" "01" "0233" "01" "0231" "01" "0233"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "01" "01" "0233" "0233" "01" "01" "01" "01" "01"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0231"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "0231" "01" "01" "01" "01" "0231" "01" "0222" "01"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "0231" "0231" "0231" "01" "01" "01" "0231" "0231" "0231"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "01" "01" "01" "0231" "01" "0231" "01" "01" "0231"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "01" "01" "0231" "01" "01" "0231" "01" "01" "01"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "0233"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01" "01" "01" "01" "01" "0231" "01" "0232" "01"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "01" "0232" "0231" "01" "0222" "01" "01" "01" "01"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "01" "0231" "01" "01" "01" "01" "01" "01" "0231"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "01" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "0222" "01" "01" "01" "01" "021" "01" "01" "01"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "0231" "01" "01" "01" "0232" "01" "01" "01" "0222"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "01" "01" "01" "01" "01" "0233" "01" "01" "01"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01" "01" "0231" "0222" "0222" "0222" "01" "01" "0231"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "01" "0222" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "01" "0232" "01" "0222" "0222" "01" "01" "01" "0222"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "0231" "0231" "01" "01" "0231" "01" "01" "01" "0222"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "01" "0221" "0231" "01" "01" "01" "0222" "021" "0222"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01" "01" "01" "01" "01" "0222" "01" "021" "01"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01" "01" "0222" "0233" "01" "0223" "0232" "0223" "01"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01" "0221" "0221" "01" "021" "0222" "0232" "0232" "01"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "01" "01" "01" "01" "01" "01" "01" "0231" "01"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "01" "01" "0222" "01" "01" "01" "021" "0222" "01"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "01" "01" "01" "01" "01" "01" "01" "0231" "0222"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "01" "01" "0233" "01" "01" "01" "01" "01" "01"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "0232" "01" "0231" "01" "01" "01" "01" "01" "01"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01" "0222" "01" "01" "0231" "01" "0222" "01" "01"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "01" "01" "01" "01" "0232" "01" "01" "01" "01"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "021" "021" "021" "01" "021" "0232" "0222" "021" "021"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "021" "01" "01" "0233" "0222" "0232" "021" "0233" "0233"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01" "021" "01" "0221" "0223" "0223" "021" "01" "0233"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "01" "021" "01" "0233" "021" "021" "0233" "021" "021"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "0233" "01" "0223" "021" "021" "021" "0233" "0233" "0233"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "0232" "0233" "01" "021" "01" "021" "021" "021" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "021" "021" "021" "0223" "01" "0223" "021" "0221" "0233"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "01" "021" "021" "021" "021" "0223" "021" "0223" "01"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "01" "01" "021" "0222" "021" "0223" "0233" "01" "0221"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "021" "021" "01" "021" "021" "021" "021" "01" "0222"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "0221" "021" "0223" "0233" "021" "01" "01" "0231" "021"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "021" "0222" "0233" "01" "01" "021" "0222" "01" "0233"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "01" "0223" "021" "0231" "01" "0233" "021" "021" "021"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "0233" "0221" "01" "01" "01" "0233" "01" "021" "021"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "0233" "01" "0233" "0222" "021" "01" "021" "01" "0222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "021" "0233" "021" "021" "01" "01" "01" "01" "021"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "01" "01" "01" "0233" "0232" "021" "021" "0233" "021"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "0233" "01" "01" "021" "021" "01" "0233" "0233" "0233"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "0233" "0233" "0221" "0233" "0223" "0231" "01" "01" "0233"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "021" "01" "0222" "021" "0221" "0233" "021" "021" "01"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "0233" "021" "021" "01" "01" "01" "021" "0222" "01"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "021" "0223" "01" "0231" "01" "01" "0232" "01" "01"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "01" "01" "0231" "01" "01" "01" "0231" "01" "01"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "01" "01" "01" "01" "01" "01" "0232" "01" "0222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "01" "01" "01" "0233" "01" "01" "01" "01" "01"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "0232" "01" "01" "01" "01" "01" "0233" "01" "01"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "01" "0233" "01" "01" "01" "01" "01" "01" "01"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "0233" "01" "01" "01" "0233" "0233" "021" "0233" "021"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "01" "01" "0233" "01" "01" "01" "0233" "01" "0232"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "01" "01" "021" "0233" "01" "01" "01" "0233" "01"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "021" "01" "01" "021" "01" "0223" "01" "0231" "021"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "021" "0233" "021" "021" "0223" "021" "01" "0233" "021"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "021" "0233" "021" "01" "021" "01" "0233" "021" "0233"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "0233" "01" "021" "021" "0223" "0232" "0232" "0233" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "021" "0233" "01" "021" "021" "021" "0232" "0233" "01"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "0221" "01" "0233" "0233" "021" "021" "0221" "01" "01"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "0221" "01" "0221" "01" "01" "0232" "0231" "01" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "021" "0233" "0233" "021" "021" "0233" "021" "021" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "0233" "01" "021" "0222" "021" "0223" "0223" "021"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "01" "01" "021" "01" "0223" "021" "01" "021"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "021" "0231" "0233" "021" "021" "021" "01" "01" "01"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "021" "021" "01" "01" "01" "0221" "01" "01" "01"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "01" "01" "0232" "01" "0231" "01" "01" "01" "01"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01" "01" "0232" "01" "01" "01" "01" "0222" "01"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "01" "01" "01" "01" "01" "0232" "01" "01" "0232"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "01" "01" "01" "01" "0222" "0231" "01" "0232" "0222"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01" "01" "01" "021" "01" "0223" "01" "0233" "0222"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "0222" "0232" "0222" "0222" "01" "01" "01" "01" "01"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "01" "01" "01" "01" "0233" "0222" "0233" "01"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "01" "0222" "0222" "01" "01" "01" "01" "01" "01"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "0222" "01" "01" "021" "01" "01" "021" "021" "01"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "01" "0223" "01" "01" "01" "0232" "021" "01" "0231"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "021" "01" "0221" "01" "0221" "01" "021" "01" "01"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "01" "021" "01" "0221" "01" "01" "01" "01" "01"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "021" "01" "01" "01" "01" "0222" "01" "0222" "0221"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "0221" "0221" "01" "01" "01" "01" "01" "01" "01"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "01" "01" "01" "01" "01" "0221" "01" "01" "0221"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01" "01" "0223" "01" "0222" "01" "01" "01" "01"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01" "01" "021" "0221" "01" "021" "01" "01" "01"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01" "01" "01" "01" "01" "021" "01" "021" "01"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "0221" "01" "01" "021" "01" "01" "021" "01" "01"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01" "021" "01" "01" "01" "01" "01" "021" "021"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01" "01" "0232" "01" "01" "021" "021" "0231" "01"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "01" "01" "021" "01" "01" "01" "01" "01" "021"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01" "01" "01" "01" "021" "0221" "01" "01" "0221"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "021" "01" "01" "021" "021" "01" "021" "01" "021"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "01" "021" "01" "0221" "0221" "01" "0221" "01"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "0221" "01" "01" "0221" "01" "0233" "0221" "01" "01"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "01" "01" "01" "01" "01" "0221" "01" "01" "01"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "0231" "01" "021" "01" "01" "021" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "0233" "01" "01" "0222" "021" "0221" "021" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "0222" "0221" "0233" "01" "021" "0221" "021"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "0222" "01" "0223" "021" "0221" "0233" "0221" "0233"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "0233" "0232" "0222" "0222" "0233" "01" "01" "0222" "01"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "0222" "0232" "0221" "0221" "01" "01" "0233" "0221" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "0233" "0222" "0222" "0223" "0221" "0223" "0222" "0223" "0233"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "0222" "0221" "01" "0221" "0221" "0222" "0223" "0223" "0233"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "0222" "0221" "0221" "0222" "0222" "0221" "0222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "0222" "0221" "01" "0221" "0231" "0223" "0221" "0221" "0233"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "0221" "0232" "0233" "0233" "0221" "021" "0221" "0232" "0232"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "0232" "021" "01" "021" "01" "01" "01" "01" "01"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "01" "021" "021" "01" "01" "01" "021" "01" "01"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "01" "01" "021" "0222" "01" "021" "01" "01" "01"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "01" "01" "01" "01" "021" "01" "01" "021" "01"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "01" "01" "021" "021" "021" "0232" "01" "01" "021"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "021" "01" "01" "01" "021" "021" "021" "01" "021"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "01" "01" "021" "021" "021" "021" "01" "01" "021"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "01" "021" "01" "01" "021" "021" "021" "01" "01"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "01" "021" "021" "021" "01" "01" "021" "021" "021"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "021" "01" "021" "01" "021" "01" "021" "021" "021"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "01" "01" "01" "021" "01" "021" "01" "01" "01"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "021" "021" "021" "021" "021" "021" "021" "021" "0221"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "021" "0221" "021" "01" "01" "01" "0233" "01" "021"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "021" "0223" "01" "021" "021" "0221" "0222" "0233" "021"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "021" "0233" "021" "0223" "0223" "021" "01" "021" "0221"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "021" "021" "021" "021" "0221" "021" "021" "0233" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "021" "0221" "0221" "021" "0222" "021" "0221" "0233" "021"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "021" "0223" "021" "0221" "021" "021" "021" "021" "021"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "021" "0223" "021" "01" "0222" "0221" "021" "021" "0221"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "021" "021" "021" "0221" "021" "0221" "0233" "021" "021"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "021" "021" "0223" "01" "0221" "021" "021" "021" "021"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "021" "0221" "021" "01" "021" "0223" "021" "021" "0221"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "0233" "01" "021" "021" "0221" "021" "021" "021" "021"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "021" "021" "021" "021" "021" "0223" "021" "021" "021"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "021" "0221" "021" "01" "021" "021" "021" "0232" "021"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "01" "01" "01" "021" "01" "021" "021" "021" "021"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "021" "021" "01" "021" "021" "021" "021" "021" "0221"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "021" "01" "01" "021" "0221" "0232" "021" "021" "021"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01" "021" "021" "021" "021" "021" "0233"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "01" "021" "021" "0221" "0221" "0221" "01" "021" "01"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "0221" "021" "0221" "0221" "0221" "01" "0222" "021"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "021" "0221" "021" "021" "01" "021" "0221" "021" "0222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "021" "021" "01" "021" "021" "0221" "0221" "0232" "0221"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "0232" "0222" "0221" "0221" "021" "0222" "021" "0221" "021"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "01" "0221" "01" "0221" "021" "0221" "0221" "0221" "0233"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "01" "01" "0232" "01" "0221" "01" "0231" "01" "0232"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "0232" "021" "0222" "0222" "0233" "0222" "01" "0232" "01"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "0221" "0231" "0231" "01" "0222" "021" "0231" "01" "0222"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "021" "021" "0221" "0232" "0222" "0231" "0221" "0222" "01"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "0222" "01" "021" "0221" "021" "0221" "0222" "021" "021"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "021" "0221" "0221" "021" "0222" "021" "0222" "0222" "021"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "0232" "0221" "0221" "021" "0223" "01" "0222" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "0221" "0222" "021" "021" "0222" "0222" "021" "021" "01"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 6804))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "023" "023" "023" "0223" "023" "023" "023" "023" "0223"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "023" "023" "023" "01" "01" "023" "0222" "023" "0222"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "023" "023" "023" "023" "01" "023" "023" "023" "023"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "023" "0223" "023" "01" "01" "023" "0222" "023" "023"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "023" "01" "01" "023" "023" "01" "021" "0222" "01"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "0222" "023" "01" "01" "01" "0222" "023" "023" "01"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "023" "023" "023" "023" "023" "01" "0221" "023" "01"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "01" "01" "0221" "0223" "0221" "0222" "0222" "0223" "023"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "023" "023" "023" "0221" "01" "021" "0222" "01" "01"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "023" "0223" "023" "023" "023" "023" "023" "01" "0222"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01" "0222" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "01" "023" "01" "01" "01" "01" "023" "023" "01"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "023" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "01" "01" "01" "01" "023" "01" "01" "01" "023"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "01" "01" "01" "01" "01" "01" "023" "01" "01"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "01" "023" "01" "01" "01" "0222" "01" "01" "0221"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "023" "01" "01" "01" "01" "01" "01" "0221" "01"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "01" "01" "0223" "01" "01" "021" "01" "01" "01"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "01" "023" "021" "01" "023" "01" "023" "01" "023"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "01" "01" "023" "023" "01" "01" "01" "01" "01"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "01" "01" "01" "01" "01" "01" "01" "023" "023"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "023" "01" "01" "01" "01" "023" "01" "0222" "01"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "023" "023" "023" "01" "01" "01" "023" "023" "023"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "01" "01" "01" "023" "01" "023" "01" "01" "023"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "01" "01" "023" "01" "01" "023" "01" "01" "01"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "023"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01" "01" "01" "01" "01" "023" "01" "023" "01"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "01" "023" "023" "01" "0222" "01" "01" "01" "01"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "01" "01" "023" "01" "01" "01" "01" "01" "01"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "01" "023" "01" "01" "01" "01" "01" "01" "023"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "01" "01" "023" "01" "01" "01" "01" "01" "01"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "0222" "01" "01" "01" "01" "021" "01" "01" "01"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "023" "01" "01" "01" "023" "01" "01" "01" "0222"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "01" "01" "01" "01" "01" "023" "01" "01" "01"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01" "01" "023" "0222" "0222" "0222" "01" "01" "023"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "01" "0222" "01" "01" "01" "01" "01" "023" "01"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "01" "023" "01" "0222" "0222" "01" "01" "01" "0222"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "023" "023" "01" "01" "023" "01" "01" "01" "0222"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "01" "0221" "023" "01" "01" "01" "0222" "021" "0222"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01" "01" "01" "01" "01" "0222" "01" "021" "01"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01" "01" "0222" "023" "01" "0223" "023" "0223" "01"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01" "0221" "0221" "01" "021" "0222" "023" "023" "01"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "01" "01" "01" "01" "01" "01" "01" "023" "01"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "01" "01" "0222" "01" "01" "01" "021" "0222" "01"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "01" "01" "01" "01" "01" "01" "01" "023" "0222"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "01" "01" "023" "01" "01" "01" "01" "01" "01"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "023" "01" "023" "01" "01" "01" "01" "01" "01"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01" "0222" "01" "01" "023" "01" "0222" "01" "01"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "01" "01" "01" "01" "023" "01" "01" "01" "01"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "01" "01" "01" "023" "01" "01" "01" "01" "01"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "021" "021" "021" "01" "021" "023" "0222" "021" "021"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "021" "01" "01" "023" "0222" "023" "021" "023" "023"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01" "021" "01" "0221" "0223" "0223" "021" "01" "023"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "01" "021" "01" "023" "021" "021" "023" "021" "021"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "023" "01" "0223" "021" "021" "021" "023" "023" "023"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "023" "023" "01" "021" "01" "021" "021" "021" "0223"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "021" "021" "021" "0223" "01" "0223" "021" "0221" "023"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "01" "021" "021" "021" "021" "0223" "021" "0223" "01"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "01" "01" "021" "0222" "021" "0223" "023" "01" "0221"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "021" "021" "01" "021" "021" "021" "021" "01" "0222"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "0221" "021" "0223" "023" "021" "01" "01" "023" "021"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "021" "0222" "023" "01" "01" "021" "0222" "01" "023"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "01" "0223" "021" "023" "01" "023" "021" "021" "021"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "023" "0221" "01" "01" "01" "023" "01" "021" "021"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "023" "01" "023" "0222" "021" "01" "021" "01" "0222"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "021" "023" "021" "021" "01" "01" "01" "01" "021"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "01" "01" "01" "023" "023" "021" "021" "023" "021"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "023" "01" "01" "021" "021" "01" "023" "023" "023"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "023" "023" "0221" "023" "0223" "023" "01" "01" "023"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "021" "01" "0222" "021" "0221" "023" "021" "021" "01"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "023" "021" "021" "01" "01" "01" "021" "0222" "01"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "021" "0223" "01" "023" "01" "01" "023" "01" "01"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "01" "01" "023" "01" "01" "01" "023" "01" "01"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "01" "01" "01" "01" "01" "01" "023" "01" "0222"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "01" "01" "01" "023" "01" "01" "01" "01" "01"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "023" "01" "01" "01" "01" "01" "023" "01" "01"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "01" "023" "01" "01" "01" "01" "01" "01" "01"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "023" "01" "01" "01" "023" "023" "021" "023" "021"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "01" "01" "023" "01" "01" "01" "023" "01" "023"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "01" "01" "021" "023" "01" "01" "01" "023" "01"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "021" "01" "01" "021" "01" "0223" "01" "023" "021"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "021" "023" "021" "021" "0223" "021" "01" "023" "021"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "021" "023" "021" "01" "021" "01" "023" "021" "023"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "023" "01" "021" "021" "0223" "023" "023" "023" "0223"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "021" "023" "01" "021" "021" "021" "023" "023" "01"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "0221" "01" "023" "023" "021" "021" "0221" "01" "01"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "0221" "01" "0221" "01" "01" "023" "023" "01" "0223"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "021" "023" "023" "021" "021" "023" "021" "021" "0223"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "0223" "023" "01" "021" "0222" "021" "0223" "0223" "021"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "0223" "01" "01" "021" "01" "0223" "021" "01" "021"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "021" "023" "023" "021" "021" "021" "01" "01" "01"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "021" "021" "01" "01" "01" "0221" "01" "01" "01"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "01" "01" "023" "01" "023" "01" "01" "01" "01"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01" "01" "023" "01" "01" "01" "01" "0222" "01"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "01" "01" "01" "01" "01" "023" "01" "01" "023"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "01" "01" "01" "01" "0222" "023" "01" "023" "0222"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01" "01" "01" "021" "01" "0223" "01" "023" "0222"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "0222" "023" "0222" "0222" "01" "01" "01" "01" "01"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "0223" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "0223" "01" "01" "01" "01" "023" "0222" "023" "01"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "01" "0222" "0222" "01" "01" "01" "01" "01" "01"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "0222" "01" "01" "021" "01" "01" "021" "021" "01"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "01" "0223" "01" "01" "01" "023" "021" "01" "023"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "021" "01" "0221" "01" "0221" "01" "021" "01" "01"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "01" "021" "01" "0221" "01" "01" "01" "01" "01"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "021" "01" "01" "01" "01" "0222" "01" "0222" "0221"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "0221" "0221" "01" "01" "01" "01" "01" "01" "01"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "01" "01" "01" "01" "01" "0221" "01" "01" "0221"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01" "01" "0223" "01" "0222" "01" "01" "01" "01"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01" "01" "021" "0221" "01" "021" "01" "01" "01"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01" "01" "01" "01" "01" "021" "01" "021" "01"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "0221" "01" "01" "021" "01" "01" "021" "01" "01"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01" "021" "01" "01" "01" "01" "01" "021" "021"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01" "01" "023" "01" "01" "021" "021" "023" "01"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "01" "01" "021" "01" "01" "01" "01" "01" "021"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01" "01" "01" "01" "021" "0221" "01" "01" "0221"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "021" "01" "01" "021" "021" "01" "021" "01" "021"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "0223" "01" "021" "01" "0221" "0221" "01" "0221" "01"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "0221" "01" "01" "0221" "01" "023" "0221" "01" "01"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "01" "01" "01" "01" "01" "0221" "01" "01" "01"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "023" "01" "021" "01" "01" "021" "0223" "0223" "0223"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "0223" "023" "01" "01" "0222" "021" "0221" "021" "0223"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "0223" "0223" "0222" "0221" "023" "01" "021" "0221" "021"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "0223" "0222" "01" "0223" "021" "0221" "023" "0221" "023"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "023" "023" "0222" "0222" "023" "01" "01" "0222" "01"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "0222" "023" "0221" "0221" "01" "01" "023" "0221" "0223"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "023" "0222" "0222" "0223" "0221" "0223" "0222" "0223" "023"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "0222" "0221" "01" "0221" "0221" "0222" "0223" "0223" "023"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "0222" "0221" "0221" "0222" "0222" "0221" "0222" "0223" "0223"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "0222" "0221" "01" "0221" "023" "0223" "0221" "0221" "023"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "0221" "023" "023" "023" "0221" "021" "0221" "023" "023"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "023" "021" "01" "021" "01" "01" "01" "01" "01"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "01" "021" "021" "01" "01" "01" "021" "01" "01"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "01" "01" "021" "0222" "01" "021" "01" "01" "01"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "01" "01" "01" "01" "021" "01" "01" "021" "01"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "01" "01" "021" "021" "021" "023" "01" "01" "021"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "021" "01" "01" "01" "021" "021" "021" "01" "021"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "01" "01" "021" "021" "021" "021" "01" "01" "021"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "01" "021" "01" "01" "021" "021" "021" "01" "01"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "01" "021" "021" "021" "01" "01" "021" "021" "021"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "021" "01" "021" "01" "021" "01" "021" "021" "021"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "01" "01" "01" "021" "01" "021" "01" "01" "01"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "021" "021" "021" "021" "021" "021" "021" "021" "0221"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "021" "0221" "021" "01" "01" "01" "023" "01" "021"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "021" "0223" "01" "021" "021" "0221" "0222" "023" "021"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "021" "023" "021" "0223" "0223" "021" "01" "021" "0221"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "021" "021" "021" "021" "0221" "021" "021" "023" "0223"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "021" "0221" "0221" "021" "0222" "021" "0221" "023" "021"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "021" "0223" "021" "0221" "021" "021" "021" "021" "021"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "021" "0223" "021" "01" "0222" "0221" "021" "021" "0221"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "021" "021" "021" "0221" "021" "0221" "023" "021" "021"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "021" "021" "0223" "01" "0221" "021" "021" "021" "021"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "021" "0221" "021" "01" "021" "0223" "021" "021" "0221"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "023" "01" "021" "021" "0221" "021" "021" "021" "021"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "021" "021" "021" "021" "021" "0223" "021" "021" "021"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "021" "0221" "021" "01" "021" "021" "021" "023" "021"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "01" "01" "01" "021" "01" "021" "021" "021" "021"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "021" "021" "01" "021" "021" "021" "021" "021" "0221"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "021" "01" "01" "021" "0221" "023" "021" "021" "021"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "0223" "0223" "01" "021" "021" "021" "021" "021" "023"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "01" "021" "021" "0221" "0221" "0221" "01" "021" "01"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "0223" "0221" "021" "0221" "0221" "0221" "01" "0222" "021"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "021" "0221" "021" "021" "01" "021" "0221" "021" "0222"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "021" "021" "01" "021" "021" "0221" "0221" "023" "0221"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "023" "0222" "0221" "0221" "021" "0222" "021" "0221" "021"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "01" "0221" "01" "0221" "021" "0221" "0221" "0221" "023"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "01" "01" "023" "01" "0221" "01" "023" "01" "023"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "023" "021" "0222" "0222" "023" "0222" "01" "023" "01"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "0221" "023" "023" "01" "0222" "021" "023" "01" "0222"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "021" "021" "0221" "023" "0222" "023" "0221" "0222" "01"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "0222" "01" "021" "0221" "021" "0221" "0222" "021" "021"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "021" "0221" "0221" "021" "0222" "021" "0222" "0222" "021"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "023" "0221" "0221" "021" "0223" "01" "0222" "0223" "0223"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "0221" "0222" "021" "021" "0222" "0222" "021" "021" "01"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 6863))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "023" "023" "023" "022" "023" "023" "023" "023" "022"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "023" "023" "023" "01" "01" "023" "022" "023" "022"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "023" "023" "023" "023" "01" "023" "023" "023" "023"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "023" "022" "023" "01" "01" "023" "022" "023" "023"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "023" "01" "01" "023" "023" "01" "021" "022" "01"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "022" "023" "01" "01" "01" "022" "023" "023" "01"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "023" "023" "023" "023" "023" "01" "022" "023" "01"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "01" "01" "022" "022" "022" "022" "022" "022" "023"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "023" "023" "023" "022" "01" "021" "022" "01" "01"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "023" "022" "023" "023" "023" "023" "023" "01" "022"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01" "022" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "01" "023" "01" "01" "01" "01" "023" "023" "01"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "023" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "01" "01" "01" "01" "023" "01" "01" "01" "023"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "01" "01" "01" "01" "01" "01" "023" "01" "01"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "01" "023" "01" "01" "01" "022" "01" "01" "022"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "023" "01" "01" "01" "01" "01" "01" "022" "01"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "01" "01" "022" "01" "01" "021" "01" "01" "01"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "01" "023" "021" "01" "023" "01" "023" "01" "023"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "01" "01" "023" "023" "01" "01" "01" "01" "01"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "01" "01" "01" "01" "01" "01" "01" "023" "023"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "023" "01" "01" "01" "01" "023" "01" "022" "01"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "023" "023" "023" "01" "01" "01" "023" "023" "023"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "01" "01" "01" "023" "01" "023" "01" "01" "023"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "01" "01" "023" "01" "01" "023" "01" "01" "01"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "023"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01" "01" "01" "01" "01" "023" "01" "023" "01"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "01" "023" "023" "01" "022" "01" "01" "01" "01"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "01" "01" "023" "01" "01" "01" "01" "01" "01"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "01" "023" "01" "01" "01" "01" "01" "01" "023"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "01" "01" "023" "01" "01" "01" "01" "01" "01"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "022" "01" "01" "01" "01" "021" "01" "01" "01"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "023" "01" "01" "01" "023" "01" "01" "01" "022"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "01" "01" "01" "01" "01" "023" "01" "01" "01"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01" "01" "023" "022" "022" "022" "01" "01" "023"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "01" "022" "01" "01" "01" "01" "01" "023" "01"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "01" "023" "01" "022" "022" "01" "01" "01" "022"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "023" "023" "01" "01" "023" "01" "01" "01" "022"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "01" "022" "023" "01" "01" "01" "022" "021" "022"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01" "01" "01" "01" "01" "022" "01" "021" "01"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01" "01" "022" "023" "01" "022" "023" "022" "01"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01" "022" "022" "01" "021" "022" "023" "023" "01"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "01" "01" "01" "01" "01" "01" "01" "023" "01"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "01" "01" "022" "01" "01" "01" "021" "022" "01"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "01" "01" "01" "01" "01" "01" "01" "023" "022"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "01" "01" "023" "01" "01" "01" "01" "01" "01"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "023" "01" "023" "01" "01" "01" "01" "01" "01"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01" "022" "01" "01" "023" "01" "022" "01" "01"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "01" "01" "01" "01" "023" "01" "01" "01" "01"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "01" "01" "01" "023" "01" "01" "01" "01" "01"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "021" "021" "021" "01" "021" "023" "022" "021" "021"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "021" "01" "01" "023" "022" "023" "021" "023" "023"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01" "021" "01" "022" "022" "022" "021" "01" "023"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "01" "021" "01" "023" "021" "021" "023" "021" "021"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "023" "01" "022" "021" "021" "021" "023" "023" "023"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "023" "023" "01" "021" "01" "021" "021" "021" "022"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "021" "021" "021" "022" "01" "022" "021" "022" "023"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "01" "021" "021" "021" "021" "022" "021" "022" "01"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "01" "01" "021" "022" "021" "022" "023" "01" "022"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "021" "021" "01" "021" "021" "021" "021" "01" "022"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "022" "021" "022" "023" "021" "01" "01" "023" "021"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "021" "022" "023" "01" "01" "021" "022" "01" "023"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "01" "022" "021" "023" "01" "023" "021" "021" "021"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "023" "022" "01" "01" "01" "023" "01" "021" "021"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "023" "01" "023" "022" "021" "01" "021" "01" "022"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "021" "023" "021" "021" "01" "01" "01" "01" "021"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "01" "01" "01" "023" "023" "021" "021" "023" "021"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "023" "01" "01" "021" "021" "01" "023" "023" "023"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "023" "023" "022" "023" "022" "023" "01" "01" "023"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "021" "01" "022" "021" "022" "023" "021" "021" "01"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "023" "021" "021" "01" "01" "01" "021" "022" "01"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "021" "022" "01" "023" "01" "01" "023" "01" "01"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "01" "01" "023" "01" "01" "01" "023" "01" "01"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "01" "01" "01" "01" "01" "01" "023" "01" "022"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "01" "01" "01" "023" "01" "01" "01" "01" "01"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "023" "01" "01" "01" "01" "01" "023" "01" "01"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "01" "023" "01" "01" "01" "01" "01" "01" "01"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "023" "01" "01" "01" "023" "023" "021" "023" "021"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "01" "01" "023" "01" "01" "01" "023" "01" "023"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "01" "01" "021" "023" "01" "01" "01" "023" "01"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "021" "01" "01" "021" "01" "022" "01" "023" "021"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "021" "023" "021" "021" "022" "021" "01" "023" "021"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "021" "023" "021" "01" "021" "01" "023" "021" "023"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "023" "01" "021" "021" "022" "023" "023" "023" "022"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "021" "023" "01" "021" "021" "021" "023" "023" "01"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "022" "01" "023" "023" "021" "021" "022" "01" "01"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "022" "01" "022" "01" "01" "023" "023" "01" "022"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "021" "023" "023" "021" "021" "023" "021" "021" "022"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "022" "023" "01" "021" "022" "021" "022" "022" "021"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "022" "01" "01" "021" "01" "022" "021" "01" "021"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "021" "023" "023" "021" "021" "021" "01" "01" "01"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "021" "021" "01" "01" "01" "022" "01" "01" "01"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "01" "01" "023" "01" "023" "01" "01" "01" "01"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01" "01" "023" "01" "01" "01" "01" "022" "01"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "01" "01" "01" "01" "01" "023" "01" "01" "023"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "01" "01" "01" "01" "022" "023" "01" "023" "022"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01" "01" "01" "021" "01" "022" "01" "023" "022"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "022" "023" "022" "022" "01" "01" "01" "01" "01"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "022" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "022" "01" "01" "01" "01" "023" "022" "023" "01"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "01" "022" "022" "01" "01" "01" "01" "01" "01"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "022" "01" "01" "021" "01" "01" "021" "021" "01"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "01" "022" "01" "01" "01" "023" "021" "01" "023"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "021" "01" "022" "01" "022" "01" "021" "01" "01"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "01" "021" "01" "022" "01" "01" "01" "01" "01"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "021" "01" "01" "01" "01" "022" "01" "022" "022"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "022" "022" "01" "01" "01" "01" "01" "01" "01"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "01" "01" "01" "01" "01" "022" "01" "01" "022"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01" "01" "022" "01" "022" "01" "01" "01" "01"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01" "01" "021" "022" "01" "021" "01" "01" "01"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01" "01" "01" "01" "01" "021" "01" "021" "01"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "022" "01" "01" "021" "01" "01" "021" "01" "01"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01" "021" "01" "01" "01" "01" "01" "021" "021"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01" "01" "023" "01" "01" "021" "021" "023" "01"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "01" "01" "021" "01" "01" "01" "01" "01" "021"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01" "01" "01" "01" "021" "022" "01" "01" "022"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "021" "01" "01" "021" "021" "01" "021" "01" "021"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "022" "01" "021" "01" "022" "022" "01" "022" "01"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "022" "01" "01" "022" "01" "023" "022" "01" "01"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "01" "01" "01" "01" "01" "022" "01" "01" "01"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "023" "01" "021" "01" "01" "021" "022" "022" "022"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "022" "023" "01" "01" "022" "021" "022" "021" "022"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "022" "022" "022" "022" "023" "01" "021" "022" "021"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "022" "022" "01" "022" "021" "022" "023" "022" "023"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "023" "023" "022" "022" "023" "01" "01" "022" "01"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "022" "023" "022" "022" "01" "01" "023" "022" "022"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "023" "022" "022" "022" "022" "022" "022" "022" "023"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "022" "022" "01" "022" "022" "022" "022" "022" "023"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "022" "022" "022" "022" "022" "022" "022" "022" "022"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "022" "022" "01" "022" "023" "022" "022" "022" "023"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "022" "023" "023" "023" "022" "021" "022" "023" "023"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "023" "021" "01" "021" "01" "01" "01" "01" "01"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "01" "021" "021" "01" "01" "01" "021" "01" "01"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "01" "01" "021" "022" "01" "021" "01" "01" "01"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "01" "01" "01" "01" "021" "01" "01" "021" "01"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "01" "01" "021" "021" "021" "023" "01" "01" "021"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "021" "01" "01" "01" "021" "021" "021" "01" "021"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "01" "01" "021" "021" "021" "021" "01" "01" "021"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "01" "021" "01" "01" "021" "021" "021" "01" "01"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "01" "021" "021" "021" "01" "01" "021" "021" "021"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "021" "01" "021" "01" "021" "01" "021" "021" "021"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "01" "01" "01" "021" "01" "021" "01" "01" "01"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "021" "021" "021" "021" "021" "021" "021" "021" "022"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "021" "022" "021" "01" "01" "01" "023" "01" "021"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "021" "022" "01" "021" "021" "022" "022" "023" "021"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "021" "023" "021" "022" "022" "021" "01" "021" "022"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "021" "021" "021" "021" "022" "021" "021" "023" "022"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "021" "022" "022" "021" "022" "021" "022" "023" "021"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "021" "022" "021" "022" "021" "021" "021" "021" "021"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "021" "022" "021" "01" "022" "022" "021" "021" "022"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "021" "021" "021" "022" "021" "022" "023" "021" "021"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "021" "021" "022" "01" "022" "021" "021" "021" "021"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "021" "022" "021" "01" "021" "022" "021" "021" "022"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "023" "01" "021" "021" "022" "021" "021" "021" "021"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "021" "021" "021" "021" "021" "022" "021" "021" "021"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "021" "022" "021" "01" "021" "021" "021" "023" "021"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "01" "01" "01" "021" "01" "021" "021" "021" "021"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "021" "021" "01" "021" "021" "021" "021" "021" "022"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "021" "01" "01" "021" "022" "023" "021" "021" "021"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "022" "022" "01" "021" "021" "021" "021" "021" "023"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "01" "021" "021" "022" "022" "022" "01" "021" "01"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "022" "022" "021" "022" "022" "022" "01" "022" "021"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "021" "022" "021" "021" "01" "021" "022" "021" "022"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "021" "021" "01" "021" "021" "022" "022" "023" "022"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "023" "022" "022" "022" "021" "022" "021" "022" "021"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "01" "022" "01" "022" "021" "022" "022" "022" "023"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "01" "01" "023" "01" "022" "01" "023" "01" "023"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "023" "021" "022" "022" "023" "022" "01" "023" "01"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "022" "023" "023" "01" "022" "021" "023" "01" "022"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "021" "021" "022" "023" "022" "023" "022" "022" "01"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "022" "01" "021" "022" "021" "022" "022" "021" "021"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "021" "022" "022" "021" "022" "021" "022" "022" "021"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "023" "022" "022" "021" "022" "01" "022" "022" "022"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "022" "022" "021" "021" "022" "022" "021" "021" "01"
get_classes(res_rh, merge_node = merge_node_param(min_n_signatures = 7174))
#> D2ex_1 D2ex_2 D2ex_3 D2ex_4 D2ex_5 D2ex_6 D2ex_7 D2ex_8 D2ex_9
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D2ex_10 D2ex_11 D2ex_12 D2ex_13 D2ex_14 D2ex_15 D2ex_16 D2ex_17 D2ex_18
#> "02" "02" "02" "01" "01" "02" "02" "02" "02"
#> D2ex_19 D2ex_20 D2ex_21 D2ex_22 D2ex_23 D2ex_24 D2ex_25 D2ex_26 D2ex_27
#> "02" "02" "02" "02" "01" "02" "02" "02" "02"
#> D2ex_28 D2ex_29 D2ex_30 D2ex_31 D2ex_32 D2ex_33 D2ex_34 D2ex_35 D2ex_36
#> "02" "02" "02" "01" "01" "02" "02" "02" "02"
#> D2ex_37 D2ex_38 D2ex_39 D2ex_40 D2ex_41 D2ex_42 D2ex_43 D2ex_44 D2ex_45
#> "02" "01" "01" "02" "02" "01" "02" "02" "01"
#> D2ex_46 D2ex_47 D2ex_48 D2ex_49 D2ex_50 D2ex_51 D2ex_52 D2ex_53 D2ex_54
#> "02" "02" "01" "01" "01" "02" "02" "02" "01"
#> D2ex_55 D2ex_56 D2ex_57 D2ex_58 D2ex_59 D2ex_60 D2ex_61 D2ex_62 D2ex_63
#> "02" "02" "02" "02" "02" "01" "02" "02" "01"
#> D2ex_64 D2ex_65 D2ex_66 D2ex_67 D2ex_68 D2ex_69 D2ex_70 D2ex_71 D2ex_72
#> "01" "01" "02" "02" "02" "02" "02" "02" "02"
#> D2ex_73 D2ex_74 D2ex_75 D2ex_76 D2ex_77 D2ex_78 D2ex_79 D2ex_80 D2ex_81
#> "02" "02" "02" "02" "01" "02" "02" "01" "01"
#> D2ex_82 D2ex_83 D2ex_84 D2ex_85 D2ex_86 D2ex_87 D2ex_88 D2ex_89 D2ex_90
#> "02" "02" "02" "02" "02" "02" "02" "01" "02"
#> D2ex_91 D2ex_92 D2ex_93 D2ex_94 D2ex_95 D2ex_96 D3en1_1 D3en1_2 D3en1_3
#> "01" "02" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_4 D3en1_5 D3en1_6 D3en1_7 D3en1_8 D3en1_9 D3en1_10 D3en1_11 D3en1_12
#> "01" "02" "01" "01" "01" "01" "02" "02" "01"
#> D3en1_13 D3en1_14 D3en1_15 D3en1_16 D3en1_17 D3en1_18 D3en1_19 D3en1_20 D3en1_21
#> "02" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_22 D3en1_23 D3en1_24 D3en1_25 D3en1_26 D3en1_27 D3en1_28 D3en1_29 D3en1_30
#> "01" "01" "01" "01" "02" "01" "01" "01" "02"
#> D3en1_31 D3en1_32 D3en1_33 D3en1_34 D3en1_35 D3en1_36 D3en1_37 D3en1_38 D3en1_39
#> "01" "01" "01" "01" "01" "01" "02" "01" "01"
#> D3en1_40 D3en1_41 D3en1_42 D3en1_43 D3en1_44 D3en1_45 D3en1_46 D3en1_47 D3en1_48
#> "01" "02" "01" "01" "01" "02" "01" "01" "02"
#> D3en1_49 D3en1_50 D3en1_51 D3en1_52 D3en1_53 D3en1_54 D3en1_55 D3en1_56 D3en1_57
#> "02" "01" "01" "01" "01" "01" "01" "02" "01"
#> D3en1_58 D3en1_59 D3en1_60 D3en1_61 D3en1_62 D3en1_63 D3en1_64 D3en1_65 D3en1_66
#> "01" "01" "02" "01" "01" "02" "01" "01" "01"
#> D3en1_67 D3en1_68 D3en1_69 D3en1_70 D3en1_71 D3en1_72 D3en1_73 D3en1_74 D3en1_75
#> "01" "02" "02" "01" "02" "01" "02" "01" "02"
#> D3en1_76 D3en1_77 D3en1_78 D3en1_79 D3en1_80 D3en1_81 D3en1_82 D3en1_83 D3en1_84
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en1_85 D3en1_86 D3en1_87 D3en1_88 D3en1_89 D3en1_90 D3en1_91 D3en1_92 D3en1_93
#> "01" "01" "02" "02" "01" "01" "01" "01" "01"
#> D3en1_94 D3en1_95 D3en1_96 D3en2_1 D3en2_2 D3en2_3 D3en2_4 D3en2_5 D3en2_6
#> "01" "01" "01" "01" "01" "01" "01" "02" "02"
#> D3en2_7 D3en2_8 D3en2_9 D3en2_10 D3en2_11 D3en2_12 D3en2_13 D3en2_14 D3en2_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_16 D3en2_17 D3en2_18 D3en2_19 D3en2_20 D3en2_21 D3en2_22 D3en2_23 D3en2_24
#> "02" "01" "01" "01" "01" "02" "01" "02" "01"
#> D3en2_25 D3en2_26 D3en2_27 D3en2_28 D3en2_29 D3en2_30 D3en2_31 D3en2_32 D3en2_33
#> "02" "02" "02" "01" "01" "01" "02" "02" "02"
#> D3en2_34 D3en2_35 D3en2_36 D3en2_37 D3en2_38 D3en2_39 D3en2_40 D3en2_41 D3en2_42
#> "01" "01" "01" "02" "01" "02" "01" "01" "02"
#> D3en2_43 D3en2_44 D3en2_45 D3en2_46 D3en2_47 D3en2_48 D3en2_49 D3en2_50 D3en2_51
#> "01" "01" "02" "01" "01" "02" "01" "01" "01"
#> D3en2_52 D3en2_53 D3en2_54 D3en2_55 D3en2_56 D3en2_57 D3en2_58 D3en2_59 D3en2_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "02"
#> D3en2_61 D3en2_62 D3en2_63 D3en2_64 D3en2_65 D3en2_66 D3en2_67 D3en2_68 D3en2_69
#> "01" "01" "01" "01" "01" "02" "01" "02" "01"
#> D3en2_70 D3en2_71 D3en2_72 D3en2_73 D3en2_74 D3en2_75 D3en2_76 D3en2_77 D3en2_78
#> "01" "02" "02" "01" "02" "01" "01" "01" "01"
#> D3en2_79 D3en2_80 D3en2_81 D3en2_82 D3en2_83 D3en2_84 D3en2_85 D3en2_86 D3en2_87
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en2_88 D3en2_89 D3en2_90 D3en2_91 D3en2_92 D3en2_93 D3en2_94 D3en2_95 D3en2_96
#> "01" "01" "02" "01" "01" "01" "01" "01" "01"
#> D3en3_1 D3en3_2 D3en3_3 D3en3_4 D3en3_5 D3en3_6 D3en3_7 D3en3_8 D3en3_9
#> "01" "02" "01" "01" "01" "01" "01" "01" "02"
#> D3en3_10 D3en3_11 D3en3_12 D3en3_13 D3en3_14 D3en3_15 D3en3_16 D3en3_17 D3en3_18
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_19 D3en3_20 D3en3_21 D3en3_22 D3en3_23 D3en3_24 D3en3_25 D3en3_26 D3en3_27
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_28 D3en3_29 D3en3_30 D3en3_31 D3en3_32 D3en3_33 D3en3_34 D3en3_35 D3en3_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_37 D3en3_38 D3en3_39 D3en3_40 D3en3_41 D3en3_42 D3en3_43 D3en3_44 D3en3_45
#> "01" "01" "02" "01" "01" "01" "01" "01" "01"
#> D3en3_46 D3en3_47 D3en3_48 D3en3_49 D3en3_50 D3en3_51 D3en3_52 D3en3_53 D3en3_54
#> "02" "01" "01" "01" "01" "02" "01" "01" "01"
#> D3en3_55 D3en3_56 D3en3_57 D3en3_58 D3en3_59 D3en3_60 D3en3_61 D3en3_62 D3en3_63
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_64 D3en3_65 D3en3_66 D3en3_67 D3en3_68 D3en3_69 D3en3_70 D3en3_71 D3en3_72
#> "02" "01" "01" "01" "02" "01" "01" "01" "02"
#> D3en3_73 D3en3_74 D3en3_75 D3en3_76 D3en3_77 D3en3_78 D3en3_79 D3en3_80 D3en3_81
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en3_82 D3en3_83 D3en3_84 D3en3_85 D3en3_86 D3en3_87 D3en3_88 D3en3_89 D3en3_90
#> "01" "01" "01" "01" "01" "02" "01" "01" "01"
#> D3en3_91 D3en3_92 D3en3_93 D3en3_94 D3en3_95 D3en3_96 D3en4_1 D3en4_2 D3en4_3
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3en4_4 D3en4_5 D3en4_6 D3en4_7 D3en4_8 D3en4_9 D3en4_10 D3en4_11 D3en4_12
#> "01" "01" "02" "02" "02" "02" "01" "01" "02"
#> D3en4_13 D3en4_14 D3en4_15 D3en4_16 D3en4_17 D3en4_18 D3en4_19 D3en4_20 D3en4_21
#> "01" "02" "01" "01" "01" "01" "01" "02" "01"
#> D3en4_22 D3en4_23 D3en4_24 D3en4_25 D3en4_26 D3en4_27 D3en4_28 D3en4_29 D3en4_30
#> "01" "02" "01" "02" "02" "01" "01" "01" "02"
#> D3en4_31 D3en4_32 D3en4_33 D3en4_34 D3en4_35 D3en4_36 D3en4_37 D3en4_38 D3en4_39
#> "02" "02" "01" "01" "02" "01" "01" "01" "02"
#> D3en4_40 D3en4_41 D3en4_42 D3en4_43 D3en4_44 D3en4_45 D3en4_46 D3en4_47 D3en4_48
#> "01" "02" "02" "01" "01" "01" "02" "02" "02"
#> D3en4_49 D3en4_50 D3en4_51 D3en4_52 D3en4_53 D3en4_54 D3en4_55 D3en4_56 D3en4_57
#> "01" "01" "01" "01" "01" "02" "01" "02" "01"
#> D3en4_58 D3en4_59 D3en4_60 D3en4_61 D3en4_62 D3en4_63 D3en4_64 D3en4_65 D3en4_66
#> "01" "01" "02" "02" "01" "02" "02" "02" "01"
#> D3en4_67 D3en4_68 D3en4_69 D3en4_70 D3en4_71 D3en4_72 D3en4_73 D3en4_74 D3en4_75
#> "01" "02" "02" "01" "02" "02" "02" "02" "01"
#> D3en4_76 D3en4_77 D3en4_78 D3en4_79 D3en4_80 D3en4_81 D3en4_82 D3en4_83 D3en4_84
#> "01" "01" "01" "01" "01" "01" "01" "02" "01"
#> D3en4_85 D3en4_86 D3en4_87 D3en4_88 D3en4_89 D3en4_90 D3en4_91 D3en4_92 D3en4_93
#> "01" "01" "02" "01" "01" "01" "02" "02" "01"
#> D3en4_94 D3en4_95 D3en4_96 D3ex_1 D3ex_2 D3ex_3 D3ex_4 D3ex_5 D3ex_6
#> "01" "01" "01" "01" "01" "01" "01" "02" "02"
#> D3ex_7 D3ex_8 D3ex_9 D3ex_10 D3ex_11 D3ex_12 D3ex_13 D3ex_14 D3ex_15
#> "01" "01" "02" "01" "01" "01" "01" "01" "01"
#> D3ex_16 D3ex_17 D3ex_18 D3ex_19 D3ex_20 D3ex_21 D3ex_22 D3ex_23 D3ex_24
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_25 D3ex_26 D3ex_27 D3ex_28 D3ex_29 D3ex_30 D3ex_31 D3ex_32 D3ex_33
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_34 D3ex_35 D3ex_36 D3ex_37 D3ex_38 D3ex_39 D3ex_40 D3ex_41 D3ex_42
#> "02" "01" "02" "01" "01" "01" "01" "01" "01"
#> D3ex_43 D3ex_44 D3ex_45 D3ex_46 D3ex_47 D3ex_48 D3ex_49 D3ex_50 D3ex_51
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_52 D3ex_53 D3ex_54 D3ex_55 D3ex_56 D3ex_57 D3ex_58 D3ex_59 D3ex_60
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_61 D3ex_62 D3ex_63 D3ex_64 D3ex_65 D3ex_66 D3ex_67 D3ex_68 D3ex_69
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D3ex_70 D3ex_71 D3ex_72 D3ex_73 D3ex_74 D3ex_75 D3ex_76 D3ex_77 D3ex_78
#> "01" "02" "01" "01" "02" "01" "02" "01" "01"
#> D3ex_79 D3ex_80 D3ex_81 D3ex_82 D3ex_83 D3ex_84 D3ex_85 D3ex_86 D3ex_87
#> "01" "01" "01" "01" "02" "01" "01" "01" "01"
#> D3ex_88 D3ex_89 D3ex_90 D3ex_91 D3ex_92 D3ex_93 D3ex_94 D3ex_95 D3ex_96
#> "01" "01" "01" "02" "01" "01" "01" "01" "01"
#> D74_1 D74_2 D74_3 D74_4 D74_5 D74_6 D74_7 D74_8 D74_9
#> "02" "02" "02" "01" "02" "02" "02" "02" "02"
#> D74_10 D74_11 D74_12 D74_13 D74_14 D74_15 D74_16 D74_17 D74_18
#> "02" "01" "01" "02" "02" "02" "02" "02" "02"
#> D74_19 D74_20 D74_21 D74_22 D74_23 D74_24 D74_25 D74_26 D74_27
#> "01" "02" "01" "02" "02" "02" "02" "01" "02"
#> D74_28 D74_29 D74_30 D74_31 D74_32 D74_33 D74_34 D74_35 D74_36
#> "01" "02" "01" "02" "02" "02" "02" "02" "02"
#> D74_37 D74_38 D74_39 D74_40 D74_41 D74_42 D74_43 D74_44 D74_45
#> "02" "01" "02" "02" "02" "02" "02" "02" "02"
#> D74_46 D74_47 D74_48 D74_49 D74_50 D74_51 D74_52 D74_53 D74_54
#> "02" "02" "01" "02" "01" "02" "02" "02" "02"
#> D74_55 D74_56 D74_57 D74_58 D74_59 D74_60 D74_61 D74_62 D74_63
#> "02" "02" "02" "02" "01" "02" "02" "02" "02"
#> D74_64 D74_65 D74_66 D74_67 D74_68 D74_69 D74_70 D74_71 D74_72
#> "01" "02" "02" "02" "02" "02" "02" "02" "01"
#> D74_73 D74_74 D74_75 D74_76 D74_77 D74_78 D74_79 D74_80 D74_81
#> "01" "01" "02" "02" "02" "02" "02" "01" "02"
#> D74_82 D74_83 D74_84 D74_85 D74_86 D74_87 D74_88 D74_89 D74_90
#> "02" "02" "01" "02" "02" "02" "02" "01" "02"
#> D74_91 D74_92 D74_93 D74_94 D74_95 D74_96 D71_1 D71_2 D71_3
#> "02" "02" "02" "02" "02" "01" "01" "02" "02"
#> D71_4 D71_5 D71_6 D71_7 D71_8 D71_9 D71_10 D71_11 D71_12
#> "02" "02" "02" "01" "01" "02" "02" "01" "02"
#> D71_13 D71_14 D71_15 D71_16 D71_17 D71_18 D71_19 D71_20 D71_21
#> "01" "02" "02" "02" "01" "02" "02" "02" "02"
#> D71_22 D71_23 D71_24 D71_25 D71_26 D71_27 D71_28 D71_29 D71_30
#> "02" "02" "01" "01" "01" "02" "01" "02" "02"
#> D71_31 D71_32 D71_33 D71_34 D71_35 D71_36 D71_37 D71_38 D71_39
#> "02" "01" "02" "02" "02" "01" "02" "01" "02"
#> D71_40 D71_41 D71_42 D71_43 D71_44 D71_45 D71_46 D71_47 D71_48
#> "02" "02" "02" "02" "01" "01" "01" "01" "02"
#> D71_49 D71_50 D71_51 D71_52 D71_53 D71_54 D71_55 D71_56 D71_57
#> "01" "01" "01" "02" "02" "02" "02" "02" "02"
#> D71_58 D71_59 D71_60 D71_61 D71_62 D71_63 D71_64 D71_65 D71_66
#> "02" "01" "01" "02" "02" "01" "02" "02" "02"
#> D71_67 D71_68 D71_69 D71_70 D71_71 D71_72 D71_73 D71_74 D71_75
#> "02" "02" "02" "02" "02" "02" "01" "01" "02"
#> D71_76 D71_77 D71_78 D71_79 D71_80 D71_81 D71_82 D71_83 D71_84
#> "02" "01" "02" "02" "02" "02" "02" "02" "01"
#> D71_85 D71_86 D71_87 D71_88 D71_89 D71_90 D71_91 D71_92 D71_93
#> "02" "02" "02" "01" "01" "01" "02" "02" "01"
#> D71_94 D71_95 D71_96 D72_1 D72_2 D72_3 D72_4 D72_5 D72_6
#> "02" "02" "01" "02" "01" "01" "02" "01" "01"
#> D72_7 D72_8 D72_9 D72_10 D72_11 D72_12 D72_13 D72_14 D72_15
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D72_16 D72_17 D72_18 D72_19 D72_20 D72_21 D72_22 D72_23 D72_24
#> "01" "01" "02" "01" "01" "01" "02" "01" "01"
#> D72_25 D72_26 D72_27 D72_28 D72_29 D72_30 D72_31 D72_32 D72_33
#> "01" "01" "01" "01" "01" "01" "02" "01" "02"
#> D72_34 D72_35 D72_36 D72_37 D72_38 D72_39 D72_40 D72_41 D72_42
#> "01" "01" "01" "02" "01" "01" "01" "01" "01"
#> D72_43 D72_44 D72_45 D72_46 D72_47 D72_48 D72_49 D72_50 D72_51
#> "02" "01" "01" "01" "01" "01" "02" "01" "01"
#> D72_52 D72_53 D72_54 D72_55 D72_56 D72_57 D72_58 D72_59 D72_60
#> "01" "02" "01" "01" "01" "01" "01" "01" "01"
#> D72_61 D72_62 D72_63 D72_64 D72_65 D72_66 D72_67 D72_68 D72_69
#> "02" "01" "01" "01" "02" "02" "02" "02" "02"
#> D72_70 D72_71 D72_72 D72_73 D72_74 D72_75 D72_76 D72_77 D72_78
#> "01" "01" "02" "01" "01" "01" "02" "01" "02"
#> D72_79 D72_80 D72_81 D72_82 D72_83 D72_84 D72_85 D72_86 D72_87
#> "01" "01" "02" "02" "01" "01" "01" "02" "01"
#> D72_88 D72_89 D72_90 D72_91 D72_92 D72_93 D72_94 D72_95 D72_96
#> "02" "01" "01" "02" "01" "02" "01" "02" "02"
#> D73_1 D73_2 D73_3 D73_4 D73_5 D73_6 D73_7 D73_8 D73_9
#> "02" "02" "02" "02" "02" "02" "01" "02" "02"
#> D73_10 D73_11 D73_12 D73_13 D73_14 D73_15 D73_16 D73_17 D73_18
#> "02" "02" "02" "01" "02" "01" "02" "02" "02"
#> D73_19 D73_20 D73_21 D73_22 D73_23 D73_24 D73_25 D73_26 D73_27
#> "02" "01" "02" "02" "02" "02" "02" "02" "02"
#> D73_28 D73_29 D73_30 D73_31 D73_32 D73_33 D73_34 D73_35 D73_36
#> "02" "02" "01" "02" "02" "02" "02" "02" "01"
#> D73_37 D73_38 D73_39 D73_40 D73_41 D73_42 D73_43 D73_44 D73_45
#> "02" "01" "02" "02" "02" "02" "02" "01" "01"
#> D73_46 D73_47 D73_48 D73_49 D73_50 D73_51 D73_52 D73_53 D73_54
#> "02" "01" "02" "01" "01" "02" "02" "01" "02"
#> D73_55 D73_56 D73_57 D73_58 D73_59 D73_60 D73_61 D73_62 D73_63
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D73_64 D73_65 D73_66 D73_67 D73_68 D73_69 D73_70 D73_71 D73_72
#> "02" "02" "01" "02" "02" "02" "02" "02" "02"
#> D73_73 D73_74 D73_75 D73_76 D73_77 D73_78 D73_79 D73_80 D73_81
#> "02" "01" "01" "02" "01" "02" "02" "01" "02"
#> D73_82 D73_83 D73_84 D73_85 D73_86 D73_87 D73_88 D73_89 D73_90
#> "02" "02" "02" "02" "02" "02" "01" "01" "01"
#> D73_91 D73_92 D73_93 D73_94 D73_95 D73_96 D10631_1 D10631_2 D10631_3
#> "02" "02" "01" "01" "01" "02" "01" "01" "01"
#> D10631_4 D10631_5 D10631_6 D10631_7 D10631_8 D10631_9 D10631_10 D10631_11 D10631_12
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_13 D10631_14 D10631_15 D10631_16 D10631_17 D10631_18 D10631_19 D10631_20 D10631_21
#> "01" "01" "02" "01" "02" "01" "01" "01" "01"
#> D10631_22 D10631_23 D10631_24 D10631_25 D10631_26 D10631_27 D10631_28 D10631_29 D10631_30
#> "01" "01" "02" "01" "01" "01" "01" "02" "01"
#> D10631_31 D10631_32 D10631_33 D10631_34 D10631_35 D10631_36 D10631_37 D10631_38 D10631_39
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_40 D10631_41 D10631_42 D10631_43 D10631_44 D10631_45 D10631_46 D10631_47 D10631_48
#> "01" "01" "01" "01" "01" "02" "01" "01" "02"
#> D10631_49 D10631_50 D10631_51 D10631_52 D10631_53 D10631_54 D10631_55 D10631_56 D10631_57
#> "01" "01" "01" "01" "02" "02" "01" "02" "02"
#> D10631_58 D10631_59 D10631_60 D10631_61 D10631_62 D10631_63 D10631_64 D10631_65 D10631_66
#> "01" "01" "01" "02" "01" "02" "01" "02" "02"
#> D10631_67 D10631_68 D10631_69 D10631_70 D10631_71 D10631_72 D10631_73 D10631_74 D10631_75
#> "02" "02" "02" "02" "01" "01" "01" "01" "01"
#> D10631_76 D10631_77 D10631_78 D10631_79 D10631_80 D10631_81 D10631_82 D10631_83 D10631_84
#> "02" "01" "01" "01" "01" "01" "01" "01" "01"
#> D10631_85 D10631_86 D10631_87 D10631_88 D10631_89 D10631_90 D10631_91 D10631_92 D10631_93
#> "02" "01" "01" "01" "01" "02" "02" "02" "01"
#> D10631_94 D10631_95 D10631_96 D101_1 D101_2 D101_3 D101_4 D101_5 D101_6
#> "01" "02" "02" "01" "01" "01" "01" "01" "01"
#> D101_7 D101_8 D101_9 D101_10 D101_11 D101_12 D101_13 D101_14 D101_15
#> "02" "01" "01" "02" "01" "01" "02" "02" "01"
#> D101_16 D101_17 D101_18 D101_19 D101_20 D101_21 D101_22 D101_23 D101_24
#> "01" "02" "01" "01" "01" "02" "02" "01" "02"
#> D101_25 D101_26 D101_27 D101_28 D101_29 D101_30 D101_31 D101_32 D101_33
#> "02" "01" "02" "01" "02" "01" "02" "01" "01"
#> D101_34 D101_35 D101_36 D101_37 D101_38 D101_39 D101_40 D101_41 D101_42
#> "01" "02" "01" "02" "01" "01" "01" "01" "01"
#> D101_43 D101_44 D101_45 D101_46 D101_47 D101_48 D101_49 D101_50 D101_51
#> "02" "01" "01" "01" "01" "02" "01" "02" "02"
#> D101_52 D101_53 D101_54 D101_55 D101_56 D101_57 D101_58 D101_59 D101_60
#> "02" "02" "01" "01" "01" "01" "01" "01" "01"
#> D101_61 D101_62 D101_63 D101_64 D101_65 D101_66 D101_67 D101_68 D101_69
#> "01" "01" "01" "01" "01" "02" "01" "01" "02"
#> D101_70 D101_71 D101_72 D101_73 D101_74 D101_75 D101_76 D101_77 D101_78
#> "01" "01" "02" "01" "02" "01" "01" "01" "01"
#> D101_79 D101_80 D101_81 D101_82 D101_83 D101_84 D101_85 D101_86 D101_87
#> "01" "01" "02" "02" "01" "02" "01" "01" "01"
#> D101_88 D101_89 D101_90 D101_91 D101_92 D101_93 D101_94 D101_95 D101_96
#> "01" "01" "01" "01" "01" "02" "01" "02" "01"
#> D102_1 D102_2 D102_3 D102_4 D102_5 D102_6 D102_7 D102_8 D102_9
#> "02" "01" "01" "02" "01" "01" "02" "01" "01"
#> D102_10 D102_11 D102_12 D102_13 D102_14 D102_15 D102_16 D102_17 D102_18
#> "01" "02" "01" "01" "01" "01" "01" "02" "02"
#> D102_19 D102_20 D102_21 D102_22 D102_23 D102_24 D102_25 D102_26 D102_27
#> "01" "01" "02" "01" "01" "02" "02" "02" "01"
#> D102_28 D102_29 D102_30 D102_31 D102_32 D102_33 D102_34 D102_35 D102_36
#> "01" "01" "01" "01" "01" "01" "01" "01" "01"
#> D102_37 D102_38 D102_39 D102_40 D102_41 D102_42 D102_43 D102_44 D102_45
#> "01" "01" "02" "01" "01" "01" "01" "01" "02"
#> D102_46 D102_47 D102_48 D102_49 D102_50 D102_51 D102_52 D102_53 D102_54
#> "01" "01" "01" "01" "02" "02" "01" "01" "02"
#> D102_55 D102_56 D102_57 D102_58 D102_59 D102_60 D102_61 D102_62 D102_63
#> "02" "01" "01" "02" "02" "01" "02" "01" "02"
#> D102_64 D102_65 D102_66 D102_67 D102_68 D102_69 D102_70 D102_71 D102_72
#> "02" "01" "02" "01" "02" "02" "01" "02" "01"
#> D102_73 D102_74 D102_75 D102_76 D102_77 D102_78 D102_79 D102_80 D102_81
#> "02" "01" "01" "02" "01" "02" "02" "01" "01"
#> D102_82 D102_83 D102_84 D102_85 D102_86 D102_87 D102_88 D102_89 D102_90
#> "01" "01" "01" "01" "01" "02" "01" "01" "01"
#> D102_91 D102_92 D102_93 D102_94 D102_95 D102_96 D1713_1 D1713_2 D1713_3
#> "02" "01" "02" "01" "01" "02" "02" "02" "02"
#> D1713_4 D1713_5 D1713_6 D1713_7 D1713_8 D1713_9 D1713_10 D1713_11 D1713_12
#> "02" "02" "01" "01" "02" "02" "02" "02" "02"
#> D1713_13 D1713_14 D1713_15 D1713_16 D1713_17 D1713_18 D1713_19 D1713_20 D1713_21
#> "02" "02" "02" "02" "02" "01" "02" "02" "02"
#> D1713_22 D1713_23 D1713_24 D1713_25 D1713_26 D1713_27 D1713_28 D1713_29 D1713_30
#> "02" "02" "01" "02" "02" "02" "02" "02" "02"
#> D1713_31 D1713_32 D1713_33 D1713_34 D1713_35 D1713_36 D1713_37 D1713_38 D1713_39
#> "02" "02" "02" "02" "02" "01" "01" "02" "01"
#> D1713_40 D1713_41 D1713_42 D1713_43 D1713_44 D1713_45 D1713_46 D1713_47 D1713_48
#> "02" "02" "02" "02" "01" "01" "02" "02" "02"
#> D1713_49 D1713_50 D1713_51 D1713_52 D1713_53 D1713_54 D1713_55 D1713_56 D1713_57
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D1713_58 D1713_59 D1713_60 D1713_61 D1713_62 D1713_63 D1713_64 D1713_65 D1713_66
#> "02" "02" "01" "02" "02" "02" "02" "02" "02"
#> D1713_67 D1713_68 D1713_69 D1713_70 D1713_71 D1713_72 D1713_73 D1713_74 D1713_75
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D1713_76 D1713_77 D1713_78 D1713_79 D1713_80 D1713_81 D1713_82 D1713_83 D1713_84
#> "02" "02" "01" "02" "02" "02" "02" "02" "02"
#> D1713_85 D1713_86 D1713_87 D1713_88 D1713_89 D1713_90 D1713_91 D1713_92 D1713_93
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D1713_94 D1713_95 D1713_96 D172444_1 D172444_2 D172444_3 D172444_4 D172444_5 D172444_6
#> "02" "02" "01" "02" "01" "01" "01" "01" "01"
#> D172444_7 D172444_8 D172444_9 D172444_10 D172444_11 D172444_12 D172444_13 D172444_14 D172444_15
#> "01" "02" "02" "01" "01" "01" "02" "01" "01"
#> D172444_16 D172444_17 D172444_18 D172444_19 D172444_20 D172444_21 D172444_22 D172444_23 D172444_24
#> "01" "01" "02" "02" "01" "02" "01" "01" "01"
#> D172444_25 D172444_26 D172444_27 D172444_28 D172444_29 D172444_30 D172444_31 D172444_32 D172444_33
#> "01" "01" "01" "01" "02" "01" "01" "02" "01"
#> D172444_34 D172444_35 D172444_36 D172444_37 D172444_38 D172444_39 D172444_40 D172444_41 D172444_42
#> "01" "01" "02" "02" "02" "02" "01" "01" "02"
#> D172444_43 D172444_44 D172444_45 D172444_46 D172444_47 D172444_48 D172444_49 D172444_50 D172444_51
#> "02" "01" "01" "01" "02" "02" "02" "01" "02"
#> D172444_52 D172444_53 D172444_54 D172444_55 D172444_56 D172444_57 D172444_58 D172444_59 D172444_60
#> "01" "01" "02" "02" "02" "02" "01" "01" "02"
#> D172444_61 D172444_62 D172444_63 D172444_64 D172444_65 D172444_66 D172444_67 D172444_68 D172444_69
#> "01" "02" "01" "01" "02" "02" "02" "01" "01"
#> D172444_70 D172444_71 D172444_72 D172444_73 D172444_74 D172444_75 D172444_76 D172444_77 D172444_78
#> "01" "02" "02" "02" "01" "01" "02" "02" "02"
#> D172444_79 D172444_80 D172444_81 D172444_82 D172444_83 D172444_84 D172444_85 D172444_86 D172444_87
#> "02" "01" "02" "01" "02" "01" "02" "02" "02"
#> D172444_88 D172444_89 D172444_90 D172444_91 D172444_92 D172444_93 D172444_94 D172444_95 D172444_96
#> "01" "01" "01" "02" "01" "02" "01" "01" "01"
#> D17All1_1 D17All1_2 D17All1_3 D17All1_4 D17All1_5 D17All1_6 D17All1_7 D17All1_8 D17All1_9
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D17All1_10 D17All1_11 D17All1_12 D17All1_13 D17All1_14 D17All1_15 D17All1_16 D17All1_17 D17All1_18
#> "02" "02" "02" "01" "01" "01" "02" "01" "02"
#> D17All1_19 D17All1_20 D17All1_21 D17All1_22 D17All1_23 D17All1_24 D17All1_25 D17All1_26 D17All1_27
#> "02" "02" "01" "02" "02" "02" "02" "02" "02"
#> D17All1_28 D17All1_29 D17All1_30 D17All1_31 D17All1_32 D17All1_33 D17All1_34 D17All1_35 D17All1_36
#> "02" "02" "02" "02" "02" "02" "01" "02" "02"
#> D17All1_37 D17All1_38 D17All1_39 D17All1_40 D17All1_41 D17All1_42 D17All1_43 D17All1_44 D17All1_45
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D17All1_46 D17All1_47 D17All1_48 D17All1_49 D17All1_50 D17All1_51 D17All1_52 D17All1_53 D17All1_54
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D17All1_55 D17All1_56 D17All1_57 D17All1_58 D17All1_59 D17All1_60 D17All1_61 D17All1_62 D17All1_63
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D17All1_64 D17All1_65 D17All1_66 D17All1_67 D17All1_68 D17All1_69 D17All1_70 D17All1_71 D17All1_72
#> "02" "02" "02" "01" "02" "02" "02" "02" "02"
#> D17All1_73 D17All1_74 D17All1_75 D17All1_76 D17All1_77 D17All1_78 D17All1_79 D17All1_80 D17All1_81
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D17All1_82 D17All1_83 D17All1_84 D17All1_85 D17All1_86 D17All1_87 D17All1_88 D17All1_89 D17All1_90
#> "02" "02" "02" "01" "02" "02" "02" "02" "02"
#> D17All1_91 D17All1_92 D17All1_93 D17All1_94 D17All1_95 D17All1_96 D17All2_1 D17All2_2 D17All2_3
#> "02" "02" "02" "01" "02" "02" "02" "02" "02"
#> D17All2_4 D17All2_5 D17All2_6 D17All2_7 D17All2_8 D17All2_9 D17All2_10 D17All2_11 D17All2_12
#> "02" "01" "02" "02" "02" "02" "02" "02" "02"
#> D17All2_13 D17All2_14 D17All2_15 D17All2_16 D17All2_17 D17All2_18 D17All2_19 D17All2_20 D17All2_21
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D17All2_22 D17All2_23 D17All2_24 D17All2_25 D17All2_26 D17All2_27 D17All2_28 D17All2_29 D17All2_30
#> "02" "02" "02" "01" "02" "02" "02" "02" "02"
#> D17All2_31 D17All2_32 D17All2_33 D17All2_34 D17All2_35 D17All2_36 D17All2_37 D17All2_38 D17All2_39
#> "01" "01" "01" "02" "01" "02" "02" "02" "02"
#> D17All2_40 D17All2_41 D17All2_42 D17All2_43 D17All2_44 D17All2_45 D17All2_46 D17All2_47 D17All2_48
#> "02" "02" "01" "02" "02" "02" "02" "02" "02"
#> D17All2_49 D17All2_50 D17All2_51 D17All2_52 D17All2_53 D17All2_54 D17All2_55 D17All2_56 D17All2_57
#> "02" "01" "01" "02" "02" "02" "02" "02" "02"
#> D17All2_58 D17All2_59 D17All2_60 D17All2_61 D17All2_62 D17All2_63 D17All2_64 D17All2_65 D17All2_66
#> "02" "02" "01" "02" "02" "02" "02" "02" "02"
#> D17All2_67 D17All2_68 D17All2_69 D17All2_70 D17All2_71 D17All2_72 D17All2_73 D17All2_74 D17All2_75
#> "01" "02" "02" "02" "02" "02" "01" "02" "01"
#> D17All2_76 D17All2_77 D17All2_78 D17All2_79 D17All2_80 D17All2_81 D17All2_82 D17All2_83 D17All2_84
#> "02" "02" "02" "02" "02" "02" "01" "02" "02"
#> D17All2_85 D17All2_86 D17All2_87 D17All2_88 D17All2_89 D17All2_90 D17All2_91 D17All2_92 D17All2_93
#> "02" "02" "02" "02" "01" "02" "02" "02" "02"
#> D17All2_94 D17All2_95 D17All2_96 D17TGFB_1 D17TGFB_2 D17TGFB_3 D17TGFB_4 D17TGFB_5 D17TGFB_6
#> "02" "02" "01" "02" "02" "02" "02" "02" "02"
#> D17TGFB_7 D17TGFB_8 D17TGFB_9 D17TGFB_10 D17TGFB_11 D17TGFB_12 D17TGFB_13 D17TGFB_14 D17TGFB_15
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D17TGFB_16 D17TGFB_17 D17TGFB_18 D17TGFB_19 D17TGFB_20 D17TGFB_21 D17TGFB_22 D17TGFB_23 D17TGFB_24
#> "01" "02" "01" "02" "02" "02" "02" "02" "02"
#> D17TGFB_25 D17TGFB_26 D17TGFB_27 D17TGFB_28 D17TGFB_29 D17TGFB_30 D17TGFB_31 D17TGFB_32 D17TGFB_33
#> "01" "01" "02" "01" "02" "01" "02" "01" "02"
#> D17TGFB_34 D17TGFB_35 D17TGFB_36 D17TGFB_37 D17TGFB_38 D17TGFB_39 D17TGFB_40 D17TGFB_41 D17TGFB_42
#> "02" "02" "02" "02" "02" "02" "01" "02" "01"
#> D17TGFB_43 D17TGFB_44 D17TGFB_45 D17TGFB_46 D17TGFB_47 D17TGFB_48 D17TGFB_49 D17TGFB_50 D17TGFB_51
#> "02" "02" "02" "01" "02" "02" "02" "01" "02"
#> D17TGFB_52 D17TGFB_53 D17TGFB_54 D17TGFB_55 D17TGFB_56 D17TGFB_57 D17TGFB_58 D17TGFB_59 D17TGFB_60
#> "02" "02" "02" "02" "02" "02" "02" "02" "01"
#> D17TGFB_61 D17TGFB_62 D17TGFB_63 D17TGFB_64 D17TGFB_65 D17TGFB_66 D17TGFB_67 D17TGFB_68 D17TGFB_69
#> "02" "01" "02" "02" "02" "02" "02" "02" "02"
#> D17TGFB_70 D17TGFB_71 D17TGFB_72 D17TGFB_73 D17TGFB_74 D17TGFB_75 D17TGFB_76 D17TGFB_77 D17TGFB_78
#> "02" "02" "02" "02" "02" "02" "02" "02" "02"
#> D17TGFB_79 D17TGFB_80 D17TGFB_81 D17TGFB_82 D17TGFB_83 D17TGFB_84 D17TGFB_85 D17TGFB_86 D17TGFB_87
#> "02" "02" "02" "02" "02" "01" "02" "02" "02"
#> D17TGFB_88 D17TGFB_89 D17TGFB_90 D17TGFB_91 D17TGFB_92 D17TGFB_93 D17TGFB_94 D17TGFB_95 D17TGFB_96
#> "02" "02" "02" "02" "02" "02" "02" "02" "01"
Heatmaps of the top rows:
top_rows_heatmap(res_rh)
Top rows on each node:
top_rows_overlap(res_rh, method = "upset")
UMAP plot which shows how samples are separated.
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 362),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 362),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 519),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 519),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 644),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 644),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 671),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 671),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 715),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 715),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 858),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 858),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 973),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 973),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 994),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 994),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 1106),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 1106),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 1406),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 1406),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 1887),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 1887),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 1958),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 1958),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 2465),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 2465),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 2575),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 2575),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 6804),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 6804),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 6863),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 6863),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
par(mfrow = c(1, 2))
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 7174),
method = "UMAP", top_value_method = "SD", top_n = 1000, scale_rows = FALSE)
dimension_reduction(res_rh, merge_node = merge_node_param(min_n_signatures = 7174),
method = "UMAP", top_value_method = "ATC", top_n = 1000, scale_rows = TRUE)
Signatures on the heatmap are the union of all signatures found on every node on the hierarchy. The number of k-means on rows are automatically selected by the function.
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 362))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 519))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 644))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 671))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 715))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 858))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 973))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 994))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 1106))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 1406))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 1887))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 1958))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 2465))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 2575))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 6804))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 6863))
get_signatures(res_rh, merge_node = merge_node_param(min_n_signatures = 7174))
Compare signatures from different nodes:
compare_signatures(res_rh, verbose = FALSE)
If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs. Note it only works on every node and the final signatures
are the union of all signatures of all nodes.
# code only for demonstration
# e.g. to show the top 500 most significant rows on each node.
tb = get_signature(res_rh, top_signatures = 500)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 362))
#> donor
#> class 1.06e-202
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 519))
#> donor
#> class 9.15e-192
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 644))
#> donor
#> class 1.09e-188
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 671))
#> donor
#> class 2.42e-185
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 715))
#> donor
#> class 2.04e-185
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 858))
#> donor
#> class 2.04e-185
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 973))
#> donor
#> class 2.04e-185
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 994))
#> donor
#> class 3.62e-187
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 1106))
#> donor
#> class 1.19e-132
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 1406))
#> donor
#> class 1.08e-131
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 1887))
#> donor
#> class 1.08e-131
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 1958))
#> donor
#> class 1.64e-133
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 2465))
#> donor
#> class 1.64e-133
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 2575))
#> donor
#> class 3.68e-138
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 6804))
#> donor
#> class 4.62e-126
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 6863))
#> donor
#> class 3e-124
test_to_known_factors(res_rh, merge_node = merge_node_param(min_n_signatures = 7174))
#> donor
#> class 1.53e-85
Child nodes: Node01 , Node02 .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["0"]
A summary of res and all the functions that can be applied to it:
res
#> A 'DownSamplingConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 9689 rows and 500 columns, randomly sampled from 1728 columns.
#> Top rows (911) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'DownSamplingConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.999 0.999 0.5014 0.499 0.499
#> 3 3 0.899 0.936 0.952 0.2078 0.875 0.752
#> 4 4 0.854 0.910 0.948 0.0922 0.948 0.864
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
get_classes(res, k = 2)
#> class p
#> D2ex_1 2 0.000
#> D2ex_2 2 0.000
#> D2ex_3 2 0.000
#> D2ex_4 2 1.000
#> D2ex_5 2 0.000
#> D2ex_6 2 0.000
#> D2ex_7 2 0.000
#> D2ex_8 2 0.000
#> D2ex_9 2 0.000
#> D2ex_10 2 0.000
#> D2ex_11 2 0.000
#> D2ex_12 2 0.000
#> D2ex_13 1 1.000
#> D2ex_14 1 0.751
#> D2ex_15 2 0.000
#> D2ex_16 2 0.000
#> D2ex_17 2 0.000
#> D2ex_18 2 0.000
#> D2ex_19 2 0.000
#> D2ex_20 2 0.498
#> D2ex_21 2 0.000
#> D2ex_22 2 0.751
#> D2ex_23 1 1.000
#> D2ex_24 2 0.000
#> D2ex_25 2 0.000
#> D2ex_26 2 0.000
#> D2ex_27 2 0.000
#> D2ex_28 2 0.751
#> D2ex_29 2 0.249
#> D2ex_30 2 0.000
#> D2ex_31 1 1.000
#> D2ex_32 1 0.253
#> D2ex_33 2 0.000
#> D2ex_34 2 0.249
#> D2ex_35 2 0.249
#> D2ex_36 2 0.747
#> D2ex_37 2 0.000
#> D2ex_38 1 0.249
#> D2ex_39 1 1.000
#> D2ex_40 2 0.000
#> D2ex_41 2 0.000
#> D2ex_42 1 0.747
#> D2ex_43 2 0.249
#> D2ex_44 2 0.000
#> D2ex_45 1 0.000
#> D2ex_46 2 0.000
#> D2ex_47 2 0.502
#> D2ex_48 1 0.751
#> D2ex_49 1 1.000
#> D2ex_50 1 1.000
#> D2ex_51 2 0.000
#> D2ex_52 2 0.498
#> D2ex_53 2 0.000
#> D2ex_54 1 0.000
#> D2ex_55 2 0.000
#> D2ex_56 2 0.000
#> D2ex_57 2 0.249
#> D2ex_58 2 0.000
#> D2ex_59 2 0.000
#> D2ex_60 1 1.000
#> D2ex_61 2 0.000
#> D2ex_62 2 0.000
#> D2ex_63 1 0.000
#> D2ex_64 1 0.000
#> D2ex_65 1 0.000
#> D2ex_66 2 0.249
#> D2ex_67 2 0.747
#> D2ex_68 2 1.000
#> D2ex_69 2 0.000
#> D2ex_70 2 0.000
#> D2ex_71 2 0.000
#> D2ex_72 2 0.000
#> D2ex_73 2 1.000
#> D2ex_74 2 1.000
#> D2ex_75 2 0.000
#> D2ex_76 2 0.000
#> D2ex_77 1 0.502
#> D2ex_78 2 0.000
#> D2ex_79 2 0.000
#> D2ex_80 1 0.000
#> D2ex_81 1 0.000
#> D2ex_82 2 0.000
#> D2ex_83 2 1.000
#> D2ex_84 2 1.000
#> D2ex_85 2 0.000
#> D2ex_86 2 0.000
#> D2ex_87 2 0.000
#> D2ex_88 2 0.498
#> D2ex_89 1 0.751
#> D2ex_90 2 0.000
#> D2ex_91 1 0.000
#> D2ex_92 2 0.000
#> D2ex_93 1 0.000
#> D2ex_94 1 0.000
#> D2ex_95 1 0.000
#> D2ex_96 1 0.000
#> D3en1_1 1 1.000
#> D3en1_2 1 1.000
#> D3en1_3 1 1.000
#> D3en1_4 1 1.000
#> D3en1_5 2 0.000
#> D3en1_6 1 1.000
#> D3en1_7 1 1.000
#> D3en1_8 1 1.000
#> D3en1_9 1 0.000
#> D3en1_10 2 0.000
#> D3en1_11 2 0.000
#> D3en1_12 1 0.000
#> D3en1_13 2 0.000
#> D3en1_14 1 0.000
#> D3en1_15 1 0.000
#> D3en1_16 1 0.000
#> D3en1_17 1 1.000
#> D3en1_18 1 0.000
#> D3en1_19 1 0.000
#> D3en1_20 1 0.000
#> D3en1_21 1 0.751
#> D3en1_22 1 0.000
#> D3en1_23 1 0.000
#> D3en1_24 1 1.000
#> D3en1_25 1 0.000
#> D3en1_26 2 0.000
#> D3en1_27 1 1.000
#> D3en1_28 1 1.000
#> D3en1_29 1 0.000
#> D3en1_30 2 0.000
#> D3en1_31 1 0.000
#> D3en1_32 1 0.000
#> D3en1_33 1 1.000
#> D3en1_34 1 0.000
#> D3en1_35 1 0.000
#> D3en1_36 1 0.000
#> D3en1_37 2 0.000
#> D3en1_38 1 1.000
#> D3en1_39 1 0.000
#> D3en1_40 1 0.000
#> D3en1_41 2 0.000
#> D3en1_42 1 0.000
#> D3en1_43 1 0.498
#> D3en1_44 1 1.000
#> D3en1_45 2 0.000
#> D3en1_46 1 0.000
#> D3en1_47 1 0.751
#> D3en1_48 2 0.000
#> D3en1_49 2 0.000
#> D3en1_50 1 1.000
#> D3en1_51 1 0.000
#> D3en1_52 1 0.000
#> D3en1_53 1 1.000
#> D3en1_54 1 1.000
#> D3en1_55 1 1.000
#> D3en1_56 2 0.000
#> D3en1_57 1 0.000
#> D3en1_58 1 0.000
#> D3en1_59 1 0.751
#> D3en1_60 2 0.498
#> D3en1_61 1 0.000
#> D3en1_62 1 0.000
#> D3en1_63 2 0.000
#> D3en1_64 1 0.498
#> D3en1_65 1 1.000
#> D3en1_66 1 0.249
#> D3en1_67 1 1.000
#> D3en1_68 2 0.000
#> D3en1_69 2 0.000
#> D3en1_70 1 0.000
#> D3en1_71 2 0.000
#> D3en1_72 1 0.000
#> D3en1_73 2 0.000
#> D3en1_74 1 0.000
#> D3en1_75 2 0.249
#> D3en1_76 1 0.000
#> D3en1_77 1 0.000
#> D3en1_78 1 0.000
#> D3en1_79 1 0.000
#> D3en1_80 1 0.000
#> D3en1_81 1 0.000
#> D3en1_82 1 0.000
#> D3en1_83 1 0.751
#> D3en1_84 1 1.000
#> D3en1_85 1 1.000
#> D3en1_86 1 0.000
#> D3en1_87 2 0.000
#> D3en1_88 2 0.000
#> D3en1_89 1 0.751
#> D3en1_90 1 0.498
#> D3en1_91 1 0.000
#> D3en1_92 1 0.000
#> D3en1_93 1 0.253
#> D3en1_94 1 1.000
#> D3en1_95 1 0.000
#> D3en1_96 1 0.000
#> D3en2_1 1 0.751
#> D3en2_2 1 1.000
#> D3en2_3 1 1.000
#> D3en2_4 1 0.000
#> D3en2_5 2 0.000
#> D3en2_6 2 0.000
#> D3en2_7 1 1.000
#> D3en2_8 1 0.000
#> D3en2_9 1 0.000
#> D3en2_10 1 0.000
#> D3en2_11 1 0.000
#> D3en2_12 1 1.000
#> D3en2_13 1 0.249
#> D3en2_14 1 0.000
#> D3en2_15 1 0.000
#> D3en2_16 2 0.000
#> D3en2_17 1 1.000
#> D3en2_18 1 0.000
#> D3en2_19 1 0.000
#> D3en2_20 1 0.000
#> D3en2_21 2 0.000
#> D3en2_22 1 1.000
#> D3en2_23 2 0.000
#> D3en2_24 1 0.000
#> D3en2_25 2 0.000
#> D3en2_26 2 0.000
#> D3en2_27 2 0.000
#> D3en2_28 1 0.000
#> D3en2_29 1 1.000
#> D3en2_30 1 0.000
#> D3en2_31 2 0.000
#> D3en2_32 2 0.000
#> D3en2_33 2 0.000
#> D3en2_34 1 0.000
#> D3en2_35 1 0.000
#> D3en2_36 1 0.000
#> D3en2_37 2 0.000
#> D3en2_38 1 1.000
#> D3en2_39 2 0.000
#> D3en2_40 1 0.000
#> D3en2_41 1 0.000
#> D3en2_42 2 0.000
#> D3en2_43 1 0.000
#> D3en2_44 1 1.000
#> D3en2_45 2 0.000
#> D3en2_46 1 0.000
#> D3en2_47 1 0.000
#> D3en2_48 2 0.000
#> D3en2_49 1 0.000
#> D3en2_50 1 0.000
#> D3en2_51 1 0.000
#> D3en2_52 1 1.000
#> D3en2_53 1 1.000
#> D3en2_54 1 0.000
#> D3en2_55 1 1.000
#> D3en2_56 1 0.751
#> D3en2_57 1 1.000
#> D3en2_58 1 1.000
#> D3en2_59 1 0.000
#> D3en2_60 2 0.249
#> D3en2_61 1 0.498
#> D3en2_62 1 0.249
#> D3en2_63 1 0.000
#> D3en2_64 1 1.000
#> D3en2_65 1 0.000
#> D3en2_66 2 0.000
#> D3en2_67 1 0.000
#> D3en2_68 2 1.000
#> D3en2_69 1 1.000
#> D3en2_70 1 0.751
#> D3en2_71 2 0.000
#> D3en2_72 2 0.000
#> D3en2_73 1 0.000
#> D3en2_74 2 0.000
#> D3en2_75 1 0.000
#> D3en2_76 1 1.000
#> D3en2_77 1 1.000
#> D3en2_78 1 0.498
#> D3en2_79 1 0.000
#> D3en2_80 1 0.000
#> D3en2_81 1 1.000
#> D3en2_82 1 0.000
#> D3en2_83 1 0.000
#> D3en2_84 1 0.000
#> D3en2_85 1 1.000
#> D3en2_86 1 0.000
#> D3en2_87 1 0.000
#> D3en2_88 1 0.000
#> D3en2_89 1 0.751
#> D3en2_90 2 0.000
#> D3en2_91 1 1.000
#> D3en2_92 1 1.000
#> D3en2_93 1 1.000
#> D3en2_94 1 0.000
#> D3en2_95 1 0.000
#> D3en2_96 1 0.000
#> D3en3_1 1 1.000
#> D3en3_2 2 0.000
#> D3en3_3 1 0.000
#> D3en3_4 1 0.000
#> D3en3_5 1 0.000
#> D3en3_6 1 1.000
#> D3en3_7 1 0.751
#> D3en3_8 1 0.253
#> D3en3_9 2 0.000
#> D3en3_10 1 0.000
#> D3en3_11 1 0.502
#> D3en3_12 1 0.000
#> D3en3_13 1 0.000
#> D3en3_14 1 0.000
#> D3en3_15 1 1.000
#> D3en3_16 1 1.000
#> D3en3_17 1 0.000
#> D3en3_18 1 0.000
#> D3en3_19 1 0.000
#> D3en3_20 1 0.000
#> D3en3_21 1 1.000
#> D3en3_22 1 0.000
#> D3en3_23 1 0.000
#> D3en3_24 1 1.000
#> D3en3_25 1 0.000
#> D3en3_26 1 0.000
#> D3en3_27 1 1.000
#> D3en3_28 1 0.502
#> D3en3_29 1 0.000
#> D3en3_30 1 0.249
#> D3en3_31 1 0.000
#> D3en3_32 1 0.000
#> D3en3_33 1 0.000
#> D3en3_34 1 0.000
#> D3en3_35 1 0.000
#> D3en3_36 1 1.000
#> D3en3_37 1 0.000
#> D3en3_38 1 0.000
#> D3en3_39 2 0.000
#> D3en3_40 1 0.000
#> D3en3_41 1 1.000
#> D3en3_42 1 0.000
#> D3en3_43 1 0.000
#> D3en3_44 1 1.000
#> D3en3_45 1 1.000
#> D3en3_46 2 0.000
#> D3en3_47 1 0.000
#> D3en3_48 1 1.000
#> D3en3_49 1 0.000
#> D3en3_50 1 1.000
#> D3en3_51 2 0.249
#> D3en3_52 1 1.000
#> D3en3_53 1 0.000
#> D3en3_54 1 1.000
#> D3en3_55 1 1.000
#> D3en3_56 1 0.000
#> D3en3_57 1 0.000
#> D3en3_58 1 0.000
#> D3en3_59 1 1.000
#> D3en3_60 1 0.000
#> D3en3_61 1 0.000
#> D3en3_62 1 0.000
#> D3en3_63 1 0.000
#> D3en3_64 2 0.000
#> D3en3_65 1 1.000
#> D3en3_66 1 0.000
#> D3en3_67 1 1.000
#> D3en3_68 2 0.751
#> D3en3_69 1 0.000
#> D3en3_70 1 0.000
#> D3en3_71 1 1.000
#> D3en3_72 2 0.000
#> D3en3_73 1 0.000
#> D3en3_74 1 0.000
#> D3en3_75 1 1.000
#> D3en3_76 1 0.000
#> D3en3_77 1 0.000
#> D3en3_78 1 0.000
#> D3en3_79 1 0.000
#> D3en3_80 1 0.000
#> D3en3_81 1 0.000
#> D3en3_82 1 0.000
#> D3en3_83 1 0.000
#> D3en3_84 1 0.000
#> D3en3_85 1 1.000
#> D3en3_86 1 1.000
#> D3en3_87 2 0.000
#> D3en3_88 1 0.000
#> D3en3_89 1 1.000
#> D3en3_90 1 0.000
#> D3en3_91 1 0.000
#> D3en3_92 1 1.000
#> D3en3_93 1 0.000
#> D3en3_94 1 0.249
#> D3en3_95 1 0.249
#> D3en3_96 1 0.000
#> D3en4_1 1 0.000
#> D3en4_2 1 0.000
#> D3en4_3 1 1.000
#> D3en4_4 1 0.000
#> D3en4_5 1 0.000
#> D3en4_6 2 0.000
#> D3en4_7 2 0.000
#> D3en4_8 2 0.000
#> D3en4_9 2 0.000
#> D3en4_10 1 0.000
#> D3en4_11 1 0.000
#> D3en4_12 2 0.000
#> D3en4_13 1 1.000
#> D3en4_14 2 0.000
#> D3en4_15 1 1.000
#> D3en4_16 1 1.000
#> D3en4_17 1 1.000
#> D3en4_18 1 0.249
#> D3en4_19 1 0.253
#> D3en4_20 2 0.000
#> D3en4_21 1 1.000
#> D3en4_22 1 1.000
#> D3en4_23 2 0.249
#> D3en4_24 1 0.000
#> D3en4_25 2 0.000
#> D3en4_26 2 0.000
#> D3en4_27 1 1.000
#> D3en4_28 1 0.498
#> D3en4_29 1 0.000
#> D3en4_30 2 0.000
#> D3en4_31 2 0.000
#> D3en4_32 2 0.000
#> D3en4_33 1 1.000
#> D3en4_34 1 1.000
#> D3en4_35 2 0.000
#> D3en4_36 1 0.000
#> D3en4_37 1 0.000
#> D3en4_38 1 1.000
#> D3en4_39 2 0.000
#> D3en4_40 1 1.000
#> D3en4_41 2 0.000
#> D3en4_42 2 0.000
#> D3en4_43 1 1.000
#> D3en4_44 1 0.000
#> D3en4_45 1 0.000
#> D3en4_46 2 0.000
#> D3en4_47 2 0.253
#> D3en4_48 2 0.000
#> D3en4_49 1 1.000
#> D3en4_50 1 1.000
#> D3en4_51 1 1.000
#> D3en4_52 1 1.000
#> D3en4_53 1 0.000
#> D3en4_54 2 0.000
#> D3en4_55 1 0.000
#> D3en4_56 2 0.000
#> D3en4_57 1 0.000
#> D3en4_58 1 1.000
#> D3en4_59 1 0.000
#> D3en4_60 2 0.000
#> D3en4_61 2 0.000
#> D3en4_62 1 0.000
#> D3en4_63 2 0.000
#> D3en4_64 2 0.000
#> D3en4_65 2 0.000
#> D3en4_66 1 0.249
#> D3en4_67 1 1.000
#> D3en4_68 2 1.000
#> D3en4_69 2 1.000
#> D3en4_70 1 0.000
#> D3en4_71 2 0.000
#> D3en4_72 2 0.000
#> D3en4_73 2 0.000
#> D3en4_74 2 0.000
#> D3en4_75 1 0.000
#> D3en4_76 1 0.000
#> D3en4_77 1 0.000
#> D3en4_78 1 0.000
#> D3en4_79 1 0.000
#> D3en4_80 1 0.000
#> D3en4_81 1 0.000
#> D3en4_82 1 0.000
#> D3en4_83 2 0.000
#> D3en4_84 1 0.000
#> D3en4_85 1 1.000
#> D3en4_86 1 1.000
#> D3en4_87 2 0.000
#> D3en4_88 1 1.000
#> D3en4_89 1 1.000
#> D3en4_90 1 0.000
#> D3en4_91 2 0.000
#> D3en4_92 2 0.000
#> D3en4_93 1 1.000
#> D3en4_94 1 0.000
#> D3en4_95 1 0.502
#> D3en4_96 1 0.000
#> D3ex_1 1 0.000
#> D3ex_2 1 0.000
#> D3ex_3 1 0.751
#> D3ex_4 1 1.000
#> D3ex_5 2 0.000
#> D3ex_6 2 0.000
#> D3ex_7 1 0.000
#> D3ex_8 1 0.000
#> D3ex_9 2 0.249
#> D3ex_10 1 0.000
#> D3ex_11 1 0.000
#> D3ex_12 1 1.000
#> D3ex_13 1 0.000
#> D3ex_14 1 0.000
#> D3ex_15 1 0.000
#> D3ex_16 1 0.249
#> D3ex_17 1 1.000
#> D3ex_18 1 0.000
#> D3ex_19 1 0.000
#> D3ex_20 1 0.000
#> D3ex_21 1 0.000
#> D3ex_22 1 0.000
#> D3ex_23 1 0.000
#> D3ex_24 1 0.000
#> D3ex_25 1 0.000
#> D3ex_26 1 0.000
#> D3ex_27 1 0.000
#> D3ex_28 1 0.000
#> D3ex_29 1 0.000
#> D3ex_30 1 0.000
#> D3ex_31 1 0.000
#> D3ex_32 1 0.000
#> D3ex_33 1 0.000
#> D3ex_34 2 0.751
#> D3ex_35 1 0.249
#> D3ex_36 2 0.000
#> D3ex_37 1 0.000
#> D3ex_38 1 1.000
#> D3ex_39 1 1.000
#> D3ex_40 1 1.000
#> D3ex_41 1 0.000
#> D3ex_42 1 0.000
#> D3ex_43 1 0.000
#> D3ex_44 1 0.000
#> D3ex_45 1 0.000
#> D3ex_46 1 0.000
#> D3ex_47 1 0.000
#> D3ex_48 1 1.000
#> D3ex_49 1 0.000
#> D3ex_50 1 0.000
#> D3ex_51 1 1.000
#> D3ex_52 1 0.000
#> D3ex_53 1 0.000
#> D3ex_54 1 0.000
#> D3ex_55 1 1.000
#> D3ex_56 1 0.000
#> D3ex_57 1 0.000
#> D3ex_58 1 0.000
#> D3ex_59 1 0.249
#> D3ex_60 1 0.000
#> D3ex_61 1 0.000
#> D3ex_62 1 0.000
#> D3ex_63 1 0.000
#> D3ex_64 1 0.000
#> D3ex_65 1 0.000
#> D3ex_66 1 1.000
#> D3ex_67 1 0.751
#> D3ex_68 1 0.253
#> D3ex_69 1 0.000
#> D3ex_70 1 0.000
#> D3ex_71 2 0.000
#> D3ex_72 1 0.000
#> D3ex_73 1 0.000
#> D3ex_74 2 0.000
#> D3ex_75 1 1.000
#> D3ex_76 2 0.000
#> D3ex_77 1 0.747
#> D3ex_78 1 0.000
#> D3ex_79 1 0.751
#> D3ex_80 1 0.000
#> D3ex_81 1 0.000
#> D3ex_82 1 1.000
#> D3ex_83 2 0.000
#> D3ex_84 1 0.000
#> D3ex_85 1 0.000
#> D3ex_86 1 0.000
#> D3ex_87 1 0.000
#> D3ex_88 1 1.000
#> D3ex_89 1 0.000
#> D3ex_90 1 1.000
#> D3ex_91 2 1.000
#> D3ex_92 1 0.253
#> D3ex_93 1 0.000
#> D3ex_94 1 0.000
#> D3ex_95 1 0.000
#> D3ex_96 1 0.000
#> D74_1 2 0.000
#> D74_2 2 0.000
#> D74_3 2 0.000
#> D74_4 1 0.000
#> D74_5 2 0.000
#> D74_6 2 0.249
#> D74_7 2 0.000
#> D74_8 2 0.000
#> D74_9 2 0.000
#> D74_10 2 0.000
#> D74_11 1 1.000
#> D74_12 1 1.000
#> D74_13 2 0.498
#> D74_14 2 0.000
#> D74_15 2 1.000
#> D74_16 2 0.000
#> D74_17 2 0.000
#> D74_18 2 0.000
#> D74_19 1 1.000
#> D74_20 2 0.253
#> D74_21 1 0.249
#> D74_22 2 0.747
#> D74_23 2 1.000
#> D74_24 2 0.000
#> D74_25 2 0.000
#> D74_26 1 0.000
#> D74_27 2 0.253
#> D74_28 1 1.000
#> D74_29 2 0.000
#> D74_30 1 0.000
#> D74_31 2 0.000
#> D74_32 2 0.000
#> D74_33 2 0.000
#> D74_34 2 0.502
#> D74_35 2 0.000
#> D74_36 2 0.000
#> D74_37 2 0.249
#> D74_38 1 0.000
#> D74_39 2 1.000
#> D74_40 2 0.000
#> D74_41 2 0.000
#> D74_42 2 0.000
#> D74_43 2 0.000
#> D74_44 2 0.000
#> D74_45 2 0.000
#> D74_46 2 0.747
#> D74_47 2 0.000
#> D74_48 1 0.000
#> D74_49 2 0.000
#> D74_50 1 0.000
#> D74_51 2 0.000
#> D74_52 2 0.000
#> D74_53 2 0.000
#> D74_54 2 1.000
#> D74_55 2 0.502
#> D74_56 2 0.249
#> D74_57 2 0.000
#> D74_58 2 0.000
#> D74_59 1 1.000
#> D74_60 2 0.000
#> D74_61 2 0.000
#> D74_62 2 0.000
#> D74_63 2 0.000
#> D74_64 1 1.000
#> D74_65 2 0.000
#> D74_66 2 0.000
#> D74_67 2 0.000
#> D74_68 2 0.000
#> D74_69 2 0.751
#> D74_70 2 0.000
#> D74_71 2 0.498
#> D74_72 1 0.000
#> D74_73 1 0.747
#> D74_74 1 1.000
#> D74_75 2 0.253
#> D74_76 2 0.000
#> D74_77 2 0.000
#> D74_78 2 0.747
#> D74_79 2 0.000
#> D74_80 1 0.000
#> D74_81 2 1.000
#> D74_82 2 0.000
#> D74_83 2 0.249
#> D74_84 1 0.000
#> D74_85 2 0.000
#> D74_86 2 0.000
#> D74_87 2 0.000
#> D74_88 2 0.000
#> D74_89 1 0.000
#> D74_90 2 0.000
#> D74_91 2 1.000
#> D74_92 2 0.000
#> D74_93 2 1.000
#> D74_94 2 0.000
#> D74_95 2 0.000
#> D74_96 1 0.000
#> D71_1 1 1.000
#> D71_2 2 0.000
#> D71_3 2 0.000
#> D71_4 2 0.000
#> D71_5 2 0.000
#> D71_6 2 0.000
#> D71_7 1 1.000
#> D71_8 1 1.000
#> D71_9 2 0.000
#> D71_10 2 0.000
#> D71_11 1 0.502
#> D71_12 2 0.249
#> D71_13 1 0.000
#> D71_14 2 0.000
#> D71_15 2 0.000
#> D71_16 2 0.000
#> D71_17 1 1.000
#> D71_18 2 1.000
#> D71_19 2 0.000
#> D71_20 2 0.000
#> D71_21 2 0.000
#> D71_22 2 0.000
#> D71_23 2 0.000
#> D71_24 1 0.000
#> D71_25 1 0.000
#> D71_26 1 1.000
#> D71_27 2 1.000
#> D71_28 1 1.000
#> D71_29 2 0.000
#> D71_30 2 0.000
#> D71_31 2 0.000
#> D71_32 1 1.000
#> D71_33 2 0.751
#> D71_34 2 0.000
#> D71_35 2 1.000
#> D71_36 1 1.000
#> D71_37 2 0.000
#> D71_38 1 1.000
#> D71_39 2 0.000
#> D71_40 2 0.000
#> D71_41 2 1.000
#> D71_42 2 0.000
#> D71_43 2 0.000
#> D71_44 1 1.000
#> D71_45 1 1.000
#> D71_46 1 0.000
#> D71_47 1 1.000
#> D71_48 2 0.000
#> D71_49 1 1.000
#> D71_50 1 0.000
#> D71_51 1 1.000
#> D71_52 2 0.000
#> D71_53 2 0.502
#> D71_54 2 0.000
#> D71_55 2 0.000
#> D71_56 2 0.249
#> D71_57 2 0.000
#> D71_58 2 0.000
#> D71_59 1 1.000
#> D71_60 1 1.000
#> D71_61 2 0.000
#> D71_62 2 0.000
#> D71_63 1 1.000
#> D71_64 2 0.000
#> D71_65 2 0.249
#> D71_66 2 0.000
#> D71_67 2 0.249
#> D71_68 2 0.000
#> D71_69 2 0.751
#> D71_70 2 0.000
#> D71_71 2 0.498
#> D71_72 2 0.000
#> D71_73 1 1.000
#> D71_74 1 0.000
#> D71_75 2 0.000
#> D71_76 2 0.000
#> D71_77 1 0.000
#> D71_78 2 0.000
#> D71_79 2 0.000
#> D71_80 2 0.000
#> D71_81 2 0.502
#> D71_82 2 0.000
#> D71_83 2 0.000
#> D71_84 1 1.000
#> D71_85 2 0.000
#> D71_86 2 0.000
#> D71_87 2 0.000
#> D71_88 1 1.000
#> D71_89 1 0.000
#> D71_90 1 1.000
#> D71_91 2 0.502
#> D71_92 2 0.000
#> D71_93 1 0.498
#> D71_94 2 0.000
#> D71_95 2 0.000
#> D71_96 1 0.000
#> D72_1 2 0.000
#> D72_2 1 0.000
#> D72_3 1 0.000
#> D72_4 2 1.000
#> D72_5 1 0.000
#> D72_6 1 0.000
#> D72_7 1 0.000
#> D72_8 1 0.249
#> D72_9 1 0.249
#> D72_10 1 0.751
#> D72_11 1 0.000
#> D72_12 1 0.000
#> D72_13 1 0.000
#> D72_14 1 0.502
#> D72_15 1 1.000
#> D72_16 1 0.747
#> D72_17 1 0.000
#> D72_18 2 0.000
#> D72_19 1 0.000
#> D72_20 1 0.751
#> D72_21 1 0.000
#> D72_22 2 0.000
#> D72_23 1 1.000
#> D72_24 1 0.000
#> D72_25 1 1.000
#> D72_26 1 0.000
#> D72_27 1 0.000
#> D72_28 1 0.249
#> D72_29 1 0.249
#> D72_30 1 1.000
#> D72_31 2 1.000
#> D72_32 1 1.000
#> D72_33 2 0.502
#> D72_34 1 0.000
#> D72_35 1 0.253
#> D72_36 1 1.000
#> D72_37 2 0.000
#> D72_38 1 0.747
#> D72_39 1 1.000
#> D72_40 1 1.000
#> D72_41 1 1.000
#> D72_42 1 0.249
#> D72_43 2 0.751
#> D72_44 1 0.253
#> D72_45 1 0.000
#> D72_46 1 0.502
#> D72_47 1 1.000
#> D72_48 1 1.000
#> D72_49 2 0.000
#> D72_50 1 0.751
#> D72_51 1 0.000
#> D72_52 1 1.000
#> D72_53 2 1.000
#> D72_54 1 1.000
#> D72_55 1 1.000
#> D72_56 1 0.000
#> D72_57 1 0.249
#> D72_58 1 0.253
#> D72_59 1 1.000
#> D72_60 1 0.000
#> D72_61 2 1.000
#> D72_62 1 0.502
#> D72_63 1 0.000
#> D72_64 1 1.000
#> D72_65 2 0.000
#> D72_66 2 0.000
#> D72_67 2 0.000
#> D72_68 2 0.000
#> D72_69 2 0.502
#> D72_70 1 0.751
#> D72_71 1 1.000
#> D72_72 2 0.751
#> D72_73 1 0.000
#> D72_74 1 1.000
#> D72_75 1 0.502
#> D72_76 2 0.249
#> D72_77 1 0.751
#> D72_78 2 1.000
#> D72_79 1 1.000
#> D72_80 1 1.000
#> D72_81 2 0.249
#> D72_82 2 0.502
#> D72_83 1 0.000
#> D72_84 1 1.000
#> D72_85 1 1.000
#> D72_86 2 0.498
#> D72_87 1 1.000
#> D72_88 2 0.000
#> D72_89 1 0.000
#> D72_90 1 0.751
#> D72_91 2 0.249
#> D72_92 1 1.000
#> D72_93 2 0.747
#> D72_94 1 0.000
#> D72_95 2 0.000
#> D72_96 2 0.000
#> D73_1 2 0.502
#> D73_2 2 0.249
#> D73_3 2 0.000
#> D73_4 2 0.751
#> D73_5 2 0.747
#> D73_6 2 0.502
#> D73_7 1 0.000
#> D73_8 2 1.000
#> D73_9 2 0.000
#> D73_10 2 0.000
#> D73_11 2 0.498
#> D73_12 2 0.000
#> D73_13 1 1.000
#> D73_14 2 0.000
#> D73_15 1 1.000
#> D73_16 2 1.000
#> D73_17 2 0.000
#> D73_18 2 0.751
#> D73_19 2 0.000
#> D73_20 1 0.249
#> D73_21 2 0.000
#> D73_22 2 0.000
#> D73_23 2 0.000
#> D73_24 2 0.000
#> D73_25 2 0.249
#> D73_26 2 0.751
#> D73_27 2 1.000
#> D73_28 2 0.249
#> D73_29 2 0.253
#> D73_30 1 1.000
#> D73_31 2 0.253
#> D73_32 2 0.000
#> D73_33 2 0.000
#> D73_34 2 0.751
#> D73_35 2 0.000
#> D73_36 1 1.000
#> D73_37 2 1.000
#> D73_38 1 1.000
#> D73_39 2 0.000
#> D73_40 2 0.498
#> D73_41 2 0.000
#> D73_42 2 0.000
#> D73_43 2 0.000
#> D73_44 1 1.000
#> D73_45 1 1.000
#> D73_46 2 1.000
#> D73_47 1 0.000
#> D73_48 2 1.000
#> D73_49 1 0.502
#> D73_50 1 1.000
#> D73_51 2 0.751
#> D73_52 2 0.000
#> D73_53 1 0.000
#> D73_54 2 1.000
#> D73_55 2 0.000
#> D73_56 2 0.249
#> D73_57 2 0.000
#> D73_58 2 0.000
#> D73_59 2 0.000
#> D73_60 2 0.249
#> D73_61 2 0.000
#> D73_62 2 0.000
#> D73_63 2 0.249
#> D73_64 2 0.498
#> D73_65 2 0.000
#> D73_66 1 0.000
#> D73_67 2 0.000
#> D73_68 2 0.000
#> D73_69 2 0.498
#> D73_70 2 0.498
#> D73_71 2 0.747
#> D73_72 2 0.000
#> D73_73 2 1.000
#> D73_74 1 0.000
#> D73_75 1 0.000
#> D73_76 2 0.000
#> D73_77 1 0.000
#> D73_78 2 0.498
#> D73_79 2 0.000
#> D73_80 1 0.000
#> D73_81 2 0.000
#> D73_82 2 0.000
#> D73_83 2 0.000
#> D73_84 2 0.000
#> D73_85 2 0.000
#> D73_86 2 0.000
#> D73_87 2 0.000
#> D73_88 1 0.000
#> D73_89 1 1.000
#> D73_90 1 1.000
#> D73_91 2 0.000
#> D73_92 2 0.000
#> D73_93 1 0.000
#> D73_94 1 0.000
#> D73_95 1 0.000
#> D73_96 2 1.000
#> D10631_1 1 0.000
#> D10631_2 1 1.000
#> D10631_3 1 0.751
#> D10631_4 1 0.000
#> D10631_5 1 0.000
#> D10631_6 1 0.000
#> D10631_7 1 0.000
#> D10631_8 1 0.000
#> D10631_9 1 0.000
#> D10631_10 1 1.000
#> D10631_11 1 0.000
#> D10631_12 1 0.747
#> D10631_13 1 0.000
#> D10631_14 1 1.000
#> D10631_15 2 0.000
#> D10631_16 1 0.000
#> D10631_17 2 0.000
#> D10631_18 1 0.000
#> D10631_19 1 0.000
#> D10631_20 1 0.000
#> D10631_21 1 0.000
#> D10631_22 1 0.000
#> D10631_23 1 0.000
#> D10631_24 2 0.498
#> D10631_25 1 0.000
#> D10631_26 1 0.000
#> D10631_27 1 0.502
#> D10631_28 1 0.000
#> D10631_29 2 0.000
#> D10631_30 1 0.000
#> D10631_31 1 0.000
#> D10631_32 1 0.000
#> D10631_33 1 0.000
#> D10631_34 1 0.000
#> D10631_35 1 0.000
#> D10631_36 1 0.000
#> D10631_37 1 0.000
#> D10631_38 1 1.000
#> D10631_39 1 0.000
#> D10631_40 1 1.000
#> D10631_41 1 0.000
#> D10631_42 1 0.000
#> D10631_43 1 0.000
#> D10631_44 1 0.000
#> D10631_45 2 0.249
#> D10631_46 1 1.000
#> D10631_47 1 0.000
#> D10631_48 2 0.249
#> D10631_49 1 0.000
#> D10631_50 1 1.000
#> D10631_51 1 0.000
#> D10631_52 1 0.000
#> D10631_53 2 0.000
#> D10631_54 2 0.000
#> D10631_55 1 0.000
#> D10631_56 2 0.249
#> D10631_57 2 0.000
#> D10631_58 1 0.000
#> D10631_59 1 0.000
#> D10631_60 1 0.000
#> D10631_61 2 0.000
#> D10631_62 1 0.000
#> D10631_63 2 1.000
#> D10631_64 1 0.000
#> D10631_65 2 0.747
#> D10631_66 2 0.000
#> D10631_67 2 0.000
#> D10631_68 2 1.000
#> D10631_69 2 0.751
#> D10631_70 2 0.000
#> D10631_71 1 0.253
#> D10631_72 1 0.000
#> D10631_73 1 0.000
#> D10631_74 1 0.000
#> D10631_75 1 0.000
#> D10631_76 2 0.000
#> D10631_77 1 0.000
#> D10631_78 1 0.000
#> D10631_79 1 0.000
#> D10631_80 1 0.000
#> D10631_81 1 0.000
#> D10631_82 1 0.000
#> D10631_83 1 0.000
#> D10631_84 1 0.000
#> D10631_85 2 1.000
#> D10631_86 1 0.000
#> D10631_87 1 0.000
#> D10631_88 1 1.000
#> D10631_89 1 0.000
#> D10631_90 2 0.000
#> D10631_91 2 0.000
#> D10631_92 2 0.498
#> D10631_93 1 0.000
#> D10631_94 1 0.000
#> D10631_95 2 0.249
#> D10631_96 2 0.000
#> D101_1 1 1.000
#> D101_2 1 0.000
#> D101_3 1 0.000
#> D101_4 1 0.000
#> D101_5 1 1.000
#> D101_6 1 0.000
#> D101_7 2 0.000
#> D101_8 1 0.000
#> D101_9 1 0.000
#> D101_10 2 0.000
#> D101_11 1 0.000
#> D101_12 1 0.000
#> D101_13 2 0.000
#> D101_14 2 0.000
#> D101_15 1 0.000
#> D101_16 1 1.000
#> D101_17 2 0.000
#> D101_18 1 0.000
#> D101_19 1 0.000
#> D101_20 1 0.000
#> D101_21 2 0.502
#> D101_22 2 0.000
#> D101_23 1 0.000
#> D101_24 2 0.000
#> D101_25 2 0.000
#> D101_26 1 0.000
#> D101_27 2 0.751
#> D101_28 1 1.000
#> D101_29 2 1.000
#> D101_30 1 0.000
#> D101_31 2 0.000
#> D101_32 1 0.000
#> D101_33 1 0.000
#> D101_34 1 1.000
#> D101_35 2 0.000
#> D101_36 1 1.000
#> D101_37 2 1.000
#> D101_38 1 0.498
#> D101_39 1 0.000
#> D101_40 1 0.000
#> D101_41 1 0.000
#> D101_42 1 0.000
#> D101_43 2 0.000
#> D101_44 1 0.000
#> D101_45 1 0.000
#> D101_46 1 0.000
#> D101_47 1 0.000
#> D101_48 2 0.000
#> D101_49 1 0.000
#> D101_50 2 0.000
#> D101_51 2 0.751
#> D101_52 2 1.000
#> D101_53 2 1.000
#> D101_54 1 0.000
#> D101_55 1 0.000
#> D101_56 1 1.000
#> D101_57 1 0.000
#> D101_58 1 0.000
#> D101_59 1 1.000
#> D101_60 1 0.000
#> D101_61 1 0.000
#> D101_62 1 0.000
#> D101_63 1 0.000
#> D101_64 1 0.000
#> D101_65 1 0.000
#> D101_66 2 1.000
#> D101_67 1 0.000
#> D101_68 1 0.000
#> D101_69 2 1.000
#> D101_70 1 0.000
#> D101_71 1 0.000
#> D101_72 2 1.000
#> D101_73 1 1.000
#> D101_74 2 0.751
#> D101_75 1 0.000
#> D101_76 1 0.000
#> D101_77 1 1.000
#> D101_78 1 0.000
#> D101_79 1 0.000
#> D101_80 1 0.000
#> D101_81 2 0.000
#> D101_82 2 1.000
#> D101_83 1 1.000
#> D101_84 2 0.000
#> D101_85 1 0.000
#> D101_86 1 0.000
#> D101_87 1 0.000
#> D101_88 1 0.000
#> D101_89 1 1.000
#> D101_90 1 0.000
#> D101_91 1 0.000
#> D101_92 1 0.000
#> D101_93 2 0.000
#> D101_94 1 0.000
#> D101_95 2 0.000
#> D101_96 1 0.000
#> D102_1 2 0.747
#> D102_2 1 0.000
#> D102_3 1 1.000
#> D102_4 2 0.502
#> D102_5 1 0.000
#> D102_6 1 0.751
#> D102_7 2 0.249
#> D102_8 1 0.000
#> D102_9 1 0.000
#> D102_10 1 0.000
#> D102_11 2 0.000
#> D102_12 1 0.000
#> D102_13 1 0.000
#> D102_14 1 0.000
#> D102_15 1 0.000
#> D102_16 1 0.000
#> D102_17 2 0.000
#> D102_18 2 0.000
#> D102_19 1 0.000
#> D102_20 1 0.000
#> D102_21 2 0.000
#> D102_22 1 0.000
#> D102_23 1 0.000
#> D102_24 2 0.000
#> D102_25 2 0.253
#> D102_26 2 0.000
#> D102_27 1 0.000
#> D102_28 1 0.000
#> D102_29 1 0.000
#> D102_30 1 0.000
#> D102_31 1 0.000
#> D102_32 1 0.000
#> D102_33 1 0.000
#> D102_34 1 0.000
#> D102_35 1 0.000
#> D102_36 1 0.000
#> D102_37 1 0.000
#> D102_38 1 0.000
#> D102_39 2 0.253
#> D102_40 1 0.000
#> D102_41 1 0.000
#> D102_42 1 0.000
#> D102_43 1 0.000
#> D102_44 1 0.000
#> D102_45 2 0.000
#> D102_46 1 0.000
#> D102_47 1 0.000
#> D102_48 1 0.000
#> D102_49 1 0.000
#> D102_50 2 0.000
#> D102_51 2 0.253
#> D102_52 1 0.000
#> D102_53 1 0.000
#> D102_54 2 1.000
#> D102_55 2 0.000
#> D102_56 1 0.000
#> D102_57 1 0.000
#> D102_58 2 0.000
#> D102_59 2 0.249
#> D102_60 1 0.000
#> D102_61 2 0.000
#> D102_62 1 0.000
#> D102_63 2 0.000
#> D102_64 2 0.498
#> D102_65 1 0.000
#> D102_66 2 0.000
#> D102_67 1 0.000
#> D102_68 2 1.000
#> D102_69 2 1.000
#> D102_70 1 0.000
#> D102_71 2 0.253
#> D102_72 1 0.000
#> D102_73 2 1.000
#> D102_74 1 0.000
#> D102_75 1 0.000
#> D102_76 2 0.751
#> D102_77 1 0.000
#> D102_78 2 0.249
#> D102_79 2 1.000
#> D102_80 1 0.000
#> D102_81 1 0.000
#> D102_82 1 0.000
#> D102_83 1 0.000
#> D102_84 1 0.000
#> D102_85 1 0.000
#> D102_86 1 0.000
#> D102_87 2 1.000
#> D102_88 1 0.000
#> D102_89 1 0.000
#> D102_90 1 0.249
#> D102_91 2 0.000
#> D102_92 1 0.000
#> D102_93 2 0.000
#> D102_94 1 1.000
#> D102_95 1 0.000
#> D102_96 2 1.000
#> D1713_1 2 1.000
#> D1713_2 2 1.000
#> D1713_3 2 1.000
#> D1713_4 2 0.249
#> D1713_5 2 0.249
#> D1713_6 1 1.000
#> D1713_7 1 1.000
#> D1713_8 2 0.000
#> D1713_9 2 0.000
#> D1713_10 2 1.000
#> D1713_11 2 0.000
#> D1713_12 2 0.498
#> D1713_13 2 1.000
#> D1713_14 2 1.000
#> D1713_15 2 0.249
#> D1713_16 2 0.498
#> D1713_17 2 0.000
#> D1713_18 1 1.000
#> D1713_19 2 0.000
#> D1713_20 2 1.000
#> D1713_21 2 0.000
#> D1713_22 2 0.747
#> D1713_23 2 0.000
#> D1713_24 1 0.000
#> D1713_25 2 1.000
#> D1713_26 2 0.000
#> D1713_27 2 0.000
#> D1713_28 2 0.751
#> D1713_29 2 0.498
#> D1713_30 2 0.249
#> D1713_31 2 0.249
#> D1713_32 2 1.000
#> D1713_33 2 0.000
#> D1713_34 2 0.000
#> D1713_35 2 0.000
#> D1713_36 1 1.000
#> D1713_37 1 1.000
#> D1713_38 2 0.000
#> D1713_39 1 1.000
#> D1713_40 2 0.000
#> D1713_41 2 1.000
#> D1713_42 2 0.747
#> D1713_43 2 1.000
#> D1713_44 1 0.000
#> D1713_45 1 0.000
#> D1713_46 2 1.000
#> D1713_47 2 1.000
#> D1713_48 2 0.498
#> D1713_49 2 0.502
#> D1713_50 2 0.000
#> D1713_51 2 0.249
#> D1713_52 2 0.751
#> D1713_53 2 1.000
#> D1713_54 2 0.498
#> D1713_55 2 0.249
#> D1713_56 2 0.751
#> D1713_57 2 0.751
#> D1713_58 2 0.249
#> D1713_59 2 1.000
#> D1713_60 1 0.249
#> D1713_61 2 0.000
#> D1713_62 2 0.000
#> D1713_63 2 0.000
#> D1713_64 2 1.000
#> D1713_65 2 1.000
#> D1713_66 2 0.498
#> D1713_67 2 0.000
#> D1713_68 2 0.000
#> D1713_69 2 1.000
#> D1713_70 2 0.000
#> D1713_71 2 0.000
#> D1713_72 2 1.000
#> D1713_73 2 0.000
#> D1713_74 2 1.000
#> D1713_75 2 0.498
#> D1713_76 2 0.249
#> D1713_77 2 1.000
#> D1713_78 1 1.000
#> D1713_79 2 1.000
#> D1713_80 2 0.000
#> D1713_81 2 1.000
#> D1713_82 2 1.000
#> D1713_83 2 1.000
#> D1713_84 2 1.000
#> D1713_85 2 1.000
#> D1713_86 2 0.000
#> D1713_87 2 0.000
#> D1713_88 2 0.498
#> D1713_89 2 0.000
#> D1713_90 2 1.000
#> D1713_91 2 1.000
#> D1713_92 2 1.000
#> D1713_93 2 0.249
#> D1713_94 2 0.498
#> D1713_95 2 0.000
#> D1713_96 1 0.253
#> D172444_1 2 0.000
#> D172444_2 1 0.249
#> D172444_3 1 0.000
#> D172444_4 1 1.000
#> D172444_5 1 0.000
#> D172444_6 1 0.000
#> D172444_7 1 1.000
#> D172444_8 2 0.000
#> D172444_9 2 0.249
#> D172444_10 1 0.747
#> D172444_11 1 1.000
#> D172444_12 1 0.249
#> D172444_13 2 0.747
#> D172444_14 1 0.498
#> D172444_15 1 0.000
#> D172444_16 1 1.000
#> D172444_17 1 0.751
#> D172444_18 2 0.498
#> D172444_19 2 0.249
#> D172444_20 1 0.249
#> D172444_21 2 0.000
#> D172444_22 1 0.498
#> D172444_23 1 0.502
#> D172444_24 1 0.000
#> D172444_25 1 0.249
#> D172444_26 1 0.751
#> D172444_27 1 1.000
#> D172444_28 1 0.000
#> D172444_29 2 0.249
#> D172444_30 1 1.000
#> D172444_31 1 1.000
#> D172444_32 2 0.249
#> D172444_33 1 0.249
#> D172444_34 1 0.000
#> D172444_35 1 1.000
#> D172444_36 2 0.249
#> D172444_37 2 0.000
#> D172444_38 2 0.000
#> D172444_39 2 0.249
#> D172444_40 1 0.000
#> D172444_41 1 1.000
#> D172444_42 2 0.502
#> D172444_43 2 0.000
#> D172444_44 1 0.249
#> D172444_45 1 0.000
#> D172444_46 1 0.502
#> D172444_47 2 0.000
#> D172444_48 2 0.000
#> D172444_49 2 0.751
#> D172444_50 1 1.000
#> D172444_51 2 0.000
#> D172444_52 1 0.249
#> D172444_53 1 0.751
#> D172444_54 2 0.253
#> D172444_55 2 0.000
#> D172444_56 2 0.253
#> D172444_57 2 0.000
#> D172444_58 1 1.000
#> D172444_59 1 0.000
#> D172444_60 2 0.249
#> D172444_61 1 1.000
#> D172444_62 2 1.000
#> D172444_63 1 1.000
#> D172444_64 1 1.000
#> D172444_65 2 0.000
#> D172444_66 2 0.253
#> D172444_67 2 0.000
#> D172444_68 1 1.000
#> D172444_69 1 1.000
#> D172444_70 1 1.000
#> D172444_71 2 0.249
#> D172444_72 2 0.249
#> D172444_73 2 0.000
#> D172444_74 1 1.000
#> D172444_75 1 0.249
#> D172444_76 2 0.000
#> D172444_77 2 0.000
#> D172444_78 2 0.000
#> D172444_79 2 0.000
#> D172444_80 1 0.751
#> D172444_81 2 0.000
#> D172444_82 1 0.747
#> D172444_83 2 0.000
#> D172444_84 1 1.000
#> D172444_85 2 0.502
#> D172444_86 2 0.000
#> D172444_87 2 0.000
#> D172444_88 1 0.751
#> D172444_89 1 0.253
#> D172444_90 1 1.000
#> D172444_91 2 0.000
#> D172444_92 1 0.751
#> D172444_93 2 0.000
#> D172444_94 1 0.000
#> D172444_95 1 0.000
#> D172444_96 1 0.000
#> D17All1_1 2 0.253
#> D17All1_2 2 0.498
#> D17All1_3 2 0.000
#> D17All1_4 2 1.000
#> D17All1_5 2 0.747
#> D17All1_6 2 0.000
#> D17All1_7 2 0.000
#> D17All1_8 2 0.502
#> D17All1_9 2 1.000
#> D17All1_10 2 0.000
#> D17All1_11 2 1.000
#> D17All1_12 2 0.000
#> D17All1_13 1 0.000
#> D17All1_14 1 0.000
#> D17All1_15 1 0.000
#> D17All1_16 2 1.000
#> D17All1_17 1 0.000
#> D17All1_18 2 0.000
#> D17All1_19 2 0.000
#> D17All1_20 2 1.000
#> D17All1_21 1 0.000
#> D17All1_22 2 0.000
#> D17All1_23 2 0.000
#> D17All1_24 2 1.000
#> D17All1_25 2 0.000
#> D17All1_26 2 1.000
#> D17All1_27 2 0.000
#> D17All1_28 2 0.249
#> D17All1_29 2 0.000
#> D17All1_30 2 0.000
#> D17All1_31 2 1.000
#> D17All1_32 2 1.000
#> D17All1_33 2 0.000
#> D17All1_34 1 1.000
#> D17All1_35 2 0.000
#> D17All1_36 2 1.000
#> D17All1_37 2 0.000
#> D17All1_38 2 0.000
#> D17All1_39 2 0.000
#> D17All1_40 2 0.000
#> D17All1_41 2 1.000
#> D17All1_42 2 0.000
#> D17All1_43 2 0.000
#> D17All1_44 2 0.000
#> D17All1_45 2 0.498
#> D17All1_46 2 0.000
#> D17All1_47 2 1.000
#> D17All1_48 2 1.000
#> D17All1_49 2 0.249
#> D17All1_50 2 0.000
#> D17All1_51 2 0.000
#> D17All1_52 2 0.000
#> D17All1_53 2 0.000
#> D17All1_54 2 0.751
#> D17All1_55 2 0.502
#> D17All1_56 2 0.000
#> D17All1_57 2 0.000
#> D17All1_58 2 1.000
#> D17All1_59 2 0.000
#> D17All1_60 2 0.000
#> D17All1_61 2 0.000
#> D17All1_62 2 0.253
#> D17All1_63 2 0.000
#> D17All1_64 2 0.000
#> D17All1_65 2 1.000
#> D17All1_66 2 0.000
#> D17All1_67 1 1.000
#> D17All1_68 2 0.000
#> D17All1_69 2 1.000
#> D17All1_70 2 0.498
#> D17All1_71 2 0.000
#> D17All1_72 2 1.000
#> D17All1_73 2 0.498
#> D17All1_74 2 0.751
#> D17All1_75 2 0.502
#> D17All1_76 2 0.498
#> D17All1_77 2 0.000
#> D17All1_78 2 1.000
#> D17All1_79 2 0.000
#> D17All1_80 2 0.751
#> D17All1_81 2 0.000
#> D17All1_82 2 0.751
#> D17All1_83 2 0.253
#> D17All1_84 2 0.000
#> D17All1_85 1 0.000
#> D17All1_86 2 1.000
#> D17All1_87 2 0.000
#> D17All1_88 2 0.000
#> D17All1_89 2 0.000
#> D17All1_90 2 0.000
#> D17All1_91 2 0.000
#> D17All1_92 2 1.000
#> D17All1_93 2 0.751
#> D17All1_94 1 0.000
#> D17All1_95 2 0.000
#> D17All1_96 2 0.000
#> D17All2_1 2 0.000
#> D17All2_2 2 0.000
#> D17All2_3 2 1.000
#> D17All2_4 2 0.000
#> D17All2_5 1 0.000
#> D17All2_6 2 0.000
#> D17All2_7 2 0.000
#> D17All2_8 2 1.000
#> D17All2_9 2 0.000
#> D17All2_10 2 0.000
#> D17All2_11 2 0.249
#> D17All2_12 2 0.000
#> D17All2_13 2 0.000
#> D17All2_14 2 0.502
#> D17All2_15 2 0.000
#> D17All2_16 2 0.000
#> D17All2_17 2 0.000
#> D17All2_18 2 0.000
#> D17All2_19 2 1.000
#> D17All2_20 2 0.000
#> D17All2_21 2 0.498
#> D17All2_22 2 0.000
#> D17All2_23 2 1.000
#> D17All2_24 2 0.000
#> D17All2_25 1 1.000
#> D17All2_26 2 0.000
#> D17All2_27 2 0.000
#> D17All2_28 2 0.249
#> D17All2_29 2 0.000
#> D17All2_30 2 0.000
#> D17All2_31 1 1.000
#> D17All2_32 1 1.000
#> D17All2_33 1 1.000
#> D17All2_34 2 0.000
#> D17All2_35 1 1.000
#> D17All2_36 2 0.000
#> D17All2_37 2 0.502
#> D17All2_38 2 0.000
#> D17All2_39 2 0.253
#> D17All2_40 2 0.747
#> D17All2_41 2 0.000
#> D17All2_42 1 1.000
#> D17All2_43 2 0.000
#> D17All2_44 2 0.498
#> D17All2_45 2 0.000
#> D17All2_46 2 0.502
#> D17All2_47 2 0.000
#> D17All2_48 2 1.000
#> D17All2_49 2 0.000
#> D17All2_50 1 0.000
#> D17All2_51 1 1.000
#> D17All2_52 2 1.000
#> D17All2_53 2 0.747
#> D17All2_54 2 0.000
#> D17All2_55 2 0.502
#> D17All2_56 2 1.000
#> D17All2_57 2 0.000
#> D17All2_58 2 0.751
#> D17All2_59 2 1.000
#> D17All2_60 1 0.747
#> D17All2_61 2 0.000
#> D17All2_62 2 0.000
#> D17All2_63 2 0.000
#> D17All2_64 2 0.000
#> D17All2_65 2 0.000
#> D17All2_66 2 0.000
#> D17All2_67 1 1.000
#> D17All2_68 2 0.000
#> D17All2_69 2 0.000
#> D17All2_70 2 1.000
#> D17All2_71 2 1.000
#> D17All2_72 2 1.000
#> D17All2_73 1 1.000
#> D17All2_74 2 0.000
#> D17All2_75 1 0.000
#> D17All2_76 2 1.000
#> D17All2_77 2 1.000
#> D17All2_78 2 0.000
#> D17All2_79 2 0.502
#> D17All2_80 2 1.000
#> D17All2_81 2 0.498
#> D17All2_82 1 1.000
#> D17All2_83 2 0.249
#> D17All2_84 2 1.000
#> D17All2_85 2 0.000
#> D17All2_86 2 0.000
#> D17All2_87 2 0.000
#> D17All2_88 2 0.000
#> D17All2_89 1 0.000
#> D17All2_90 2 0.000
#> D17All2_91 2 1.000
#> D17All2_92 2 0.253
#> D17All2_93 2 0.000
#> D17All2_94 2 0.000
#> D17All2_95 2 0.000
#> D17All2_96 1 0.000
#> D17TGFB_1 2 0.000
#> D17TGFB_2 2 0.502
#> D17TGFB_3 2 1.000
#> D17TGFB_4 2 1.000
#> D17TGFB_5 2 0.747
#> D17TGFB_6 2 0.000
#> D17TGFB_7 2 0.249
#> D17TGFB_8 2 0.000
#> D17TGFB_9 2 1.000
#> D17TGFB_10 2 0.249
#> D17TGFB_11 2 0.498
#> D17TGFB_12 2 0.000
#> D17TGFB_13 2 0.000
#> D17TGFB_14 2 0.751
#> D17TGFB_15 2 0.249
#> D17TGFB_16 1 1.000
#> D17TGFB_17 2 0.000
#> D17TGFB_18 1 0.000
#> D17TGFB_19 2 0.000
#> D17TGFB_20 2 0.000
#> D17TGFB_21 2 0.249
#> D17TGFB_22 2 1.000
#> D17TGFB_23 2 0.498
#> D17TGFB_24 2 0.751
#> D17TGFB_25 1 0.000
#> D17TGFB_26 1 1.000
#> D17TGFB_27 2 0.000
#> D17TGFB_28 1 0.253
#> D17TGFB_29 2 1.000
#> D17TGFB_30 1 0.253
#> D17TGFB_31 2 0.000
#> D17TGFB_32 1 1.000
#> D17TGFB_33 2 0.000
#> D17TGFB_34 2 0.249
#> D17TGFB_35 2 0.000
#> D17TGFB_36 2 0.000
#> D17TGFB_37 2 0.000
#> D17TGFB_38 2 0.000
#> D17TGFB_39 2 0.000
#> D17TGFB_40 1 1.000
#> D17TGFB_41 2 0.000
#> D17TGFB_42 1 1.000
#> D17TGFB_43 2 0.000
#> D17TGFB_44 2 0.000
#> D17TGFB_45 2 0.000
#> D17TGFB_46 1 0.249
#> D17TGFB_47 2 0.000
#> D17TGFB_48 2 0.000
#> D17TGFB_49 2 0.000
#> D17TGFB_50 1 0.751
#> D17TGFB_51 2 0.000
#> D17TGFB_52 2 0.000
#> D17TGFB_53 2 0.751
#> D17TGFB_54 2 1.000
#> D17TGFB_55 2 0.000
#> D17TGFB_56 2 0.000
#> D17TGFB_57 2 0.000
#> D17TGFB_58 2 0.502
#> D17TGFB_59 2 0.000
#> D17TGFB_60 1 0.000
#> D17TGFB_61 2 0.000
#> D17TGFB_62 1 0.000
#> D17TGFB_63 2 0.000
#> D17TGFB_64 2 1.000
#> D17TGFB_65 2 0.000
#> D17TGFB_66 2 1.000
#> D17TGFB_67 2 0.000
#> D17TGFB_68 2 0.000
#> D17TGFB_69 2 0.000
#> D17TGFB_70 2 0.000
#> D17TGFB_71 2 0.249
#> D17TGFB_72 2 0.498
#> D17TGFB_73 2 0.253
#> D17TGFB_74 2 0.000
#> D17TGFB_75 2 0.253
#> D17TGFB_76 2 0.000
#> D17TGFB_77 2 0.000
#> D17TGFB_78 2 0.253
#> D17TGFB_79 2 0.498
#> D17TGFB_80 2 0.000
#> D17TGFB_81 2 1.000
#> D17TGFB_82 2 0.000
#> D17TGFB_83 2 1.000
#> D17TGFB_84 1 0.751
#> D17TGFB_85 2 0.000
#> D17TGFB_86 2 1.000
#> D17TGFB_87 2 0.249
#> D17TGFB_88 2 1.000
#> D17TGFB_89 2 0.000
#> D17TGFB_90 2 0.253
#> D17TGFB_91 2 0.000
#> D17TGFB_92 2 0.000
#> D17TGFB_93 2 0.000
#> D17TGFB_94 2 0.000
#> D17TGFB_95 2 0.000
#> D17TGFB_96 1 0.000
get_classes(res, k = 3)
#> class p
#> D2ex_1 2 0.000
#> D2ex_2 2 0.249
#> D2ex_3 3 1.000
#> D2ex_4 2 0.000
#> D2ex_5 2 0.000
#> D2ex_6 2 0.000
#> D2ex_7 2 0.000
#> D2ex_8 2 0.000
#> D2ex_9 2 0.000
#> D2ex_10 2 0.000
#> D2ex_11 3 1.000
#> D2ex_12 2 0.000
#> D2ex_13 1 0.000
#> D2ex_14 2 1.000
#> D2ex_15 2 0.000
#> D2ex_16 2 0.000
#> D2ex_17 2 0.000
#> D2ex_18 2 0.000
#> D2ex_19 2 0.000
#> D2ex_20 2 0.000
#> D2ex_21 2 0.000
#> D2ex_22 2 0.000
#> D2ex_23 1 0.000
#> D2ex_24 2 1.000
#> D2ex_25 2 0.000
#> D2ex_26 2 0.000
#> D2ex_27 2 0.000
#> D2ex_28 2 0.000
#> D2ex_29 2 0.000
#> D2ex_30 3 1.000
#> D2ex_31 1 0.000
#> D2ex_32 1 0.000
#> D2ex_33 2 0.000
#> D2ex_34 2 0.000
#> D2ex_35 2 0.000
#> D2ex_36 2 0.000
#> D2ex_37 2 0.000
#> D2ex_38 1 0.000
#> D2ex_39 1 1.000
#> D2ex_40 2 0.000
#> D2ex_41 2 0.000
#> D2ex_42 1 0.000
#> D2ex_43 3 0.000
#> D2ex_44 2 0.000
#> D2ex_45 1 0.000
#> D2ex_46 2 0.000
#> D2ex_47 2 0.000
#> D2ex_48 1 0.000
#> D2ex_49 1 0.000
#> D2ex_50 1 0.000
#> D2ex_51 2 0.000
#> D2ex_52 2 0.000
#> D2ex_53 2 0.000
#> D2ex_54 1 0.000
#> D2ex_55 2 1.000
#> D2ex_56 2 0.000
#> D2ex_57 2 0.000
#> D2ex_58 2 0.000
#> D2ex_59 2 0.000
#> D2ex_60 1 0.751
#> D2ex_61 2 0.000
#> D2ex_62 2 0.000
#> D2ex_63 1 0.000
#> D2ex_64 1 0.000
#> D2ex_65 1 0.000
#> D2ex_66 2 0.000
#> D2ex_67 2 0.000
#> D2ex_68 2 0.000
#> D2ex_69 2 0.000
#> D2ex_70 2 0.000
#> D2ex_71 2 0.000
#> D2ex_72 2 0.000
#> D2ex_73 2 0.000
#> D2ex_74 2 1.000
#> D2ex_75 2 1.000
#> D2ex_76 2 0.000
#> D2ex_77 1 0.000
#> D2ex_78 3 0.000
#> D2ex_79 2 0.000
#> D2ex_80 1 0.000
#> D2ex_81 1 0.249
#> D2ex_82 2 0.751
#> D2ex_83 2 0.000
#> D2ex_84 2 0.000
#> D2ex_85 2 0.000
#> D2ex_86 3 1.000
#> D2ex_87 3 1.000
#> D2ex_88 2 0.000
#> D2ex_89 1 0.000
#> D2ex_90 2 0.000
#> D2ex_91 1 0.000
#> D2ex_92 2 0.000
#> D2ex_93 1 0.000
#> D2ex_94 1 0.000
#> D2ex_95 1 0.000
#> D2ex_96 1 0.000
#> D3en1_1 1 0.000
#> D3en1_2 1 0.000
#> D3en1_3 1 1.000
#> D3en1_4 1 1.000
#> D3en1_5 2 1.000
#> D3en1_6 1 0.502
#> D3en1_7 1 0.000
#> D3en1_8 1 0.000
#> D3en1_9 1 0.000
#> D3en1_10 2 0.000
#> D3en1_11 2 0.000
#> D3en1_12 1 0.000
#> D3en1_13 2 0.000
#> D3en1_14 1 0.000
#> D3en1_15 1 0.000
#> D3en1_16 1 0.000
#> D3en1_17 1 1.000
#> D3en1_18 1 0.000
#> D3en1_19 1 0.000
#> D3en1_20 1 0.000
#> D3en1_21 1 0.249
#> D3en1_22 1 0.000
#> D3en1_23 1 0.000
#> D3en1_24 1 0.253
#> D3en1_25 1 0.000
#> D3en1_26 2 0.000
#> D3en1_27 1 0.000
#> D3en1_28 1 0.000
#> D3en1_29 1 0.000
#> D3en1_30 2 1.000
#> D3en1_31 1 0.000
#> D3en1_32 1 0.000
#> D3en1_33 1 1.000
#> D3en1_34 1 0.000
#> D3en1_35 1 0.000
#> D3en1_36 1 0.000
#> D3en1_37 2 0.000
#> D3en1_38 1 0.000
#> D3en1_39 1 0.000
#> D3en1_40 1 0.000
#> D3en1_41 3 1.000
#> D3en1_42 1 0.000
#> D3en1_43 1 0.000
#> D3en1_44 1 0.249
#> D3en1_45 2 0.000
#> D3en1_46 1 0.000
#> D3en1_47 1 0.000
#> D3en1_48 2 0.000
#> D3en1_49 2 1.000
#> D3en1_50 1 1.000
#> D3en1_51 1 0.000
#> D3en1_52 1 0.000
#> D3en1_53 1 0.253
#> D3en1_54 1 0.000
#> D3en1_55 1 1.000
#> D3en1_56 2 0.000
#> D3en1_57 1 0.000
#> D3en1_58 1 0.000
#> D3en1_59 1 0.000
#> D3en1_60 2 0.000
#> D3en1_61 1 0.000
#> D3en1_62 1 0.000
#> D3en1_63 3 0.751
#> D3en1_64 1 0.000
#> D3en1_65 1 1.000
#> D3en1_66 1 0.253
#> D3en1_67 1 0.000
#> D3en1_68 3 1.000
#> D3en1_69 3 0.000
#> D3en1_70 1 0.000
#> D3en1_71 2 0.253
#> D3en1_72 1 0.000
#> D3en1_73 2 0.000
#> D3en1_74 1 0.000
#> D3en1_75 2 1.000
#> D3en1_76 1 0.000
#> D3en1_77 1 0.000
#> D3en1_78 1 0.000
#> D3en1_79 1 0.000
#> D3en1_80 1 0.000
#> D3en1_81 1 0.000
#> D3en1_82 1 0.000
#> D3en1_83 1 0.751
#> D3en1_84 1 0.000
#> D3en1_85 1 1.000
#> D3en1_86 1 0.000
#> D3en1_87 2 1.000
#> D3en1_88 2 0.000
#> D3en1_89 1 0.000
#> D3en1_90 1 1.000
#> D3en1_91 1 0.000
#> D3en1_92 1 0.000
#> D3en1_93 1 1.000
#> D3en1_94 1 0.000
#> D3en1_95 1 0.000
#> D3en1_96 1 0.000
#> D3en2_1 1 0.000
#> D3en2_2 1 1.000
#> D3en2_3 1 0.000
#> D3en2_4 1 0.000
#> D3en2_5 2 1.000
#> D3en2_6 2 1.000
#> D3en2_7 1 1.000
#> D3en2_8 1 0.000
#> D3en2_9 1 0.000
#> D3en2_10 1 0.000
#> D3en2_11 1 0.000
#> D3en2_12 1 1.000
#> D3en2_13 1 0.000
#> D3en2_14 1 0.000
#> D3en2_15 1 0.000
#> D3en2_16 3 1.000
#> D3en2_17 1 1.000
#> D3en2_18 1 0.000
#> D3en2_19 1 0.000
#> D3en2_20 1 0.000
#> D3en2_21 2 0.000
#> D3en2_22 1 0.000
#> D3en2_23 2 0.000
#> D3en2_24 1 0.000
#> D3en2_25 2 0.000
#> D3en2_26 3 1.000
#> D3en2_27 2 1.000
#> D3en2_28 1 0.000
#> D3en2_29 1 0.751
#> D3en2_30 1 1.000
#> D3en2_31 3 1.000
#> D3en2_32 2 1.000
#> D3en2_33 2 0.000
#> D3en2_34 1 0.000
#> D3en2_35 1 0.000
#> D3en2_36 1 0.000
#> D3en2_37 2 0.000
#> D3en2_38 1 0.000
#> D3en2_39 2 0.249
#> D3en2_40 1 0.000
#> D3en2_41 1 0.000
#> D3en2_42 2 0.000
#> D3en2_43 1 0.000
#> D3en2_44 1 0.000
#> D3en2_45 2 0.000
#> D3en2_46 1 0.000
#> D3en2_47 1 0.000
#> D3en2_48 2 0.000
#> D3en2_49 1 0.000
#> D3en2_50 1 0.000
#> D3en2_51 1 0.000
#> D3en2_52 3 1.000
#> D3en2_53 1 0.253
#> D3en2_54 1 0.000
#> D3en2_55 1 0.249
#> D3en2_56 1 1.000
#> D3en2_57 1 0.249
#> D3en2_58 3 0.000
#> D3en2_59 1 0.000
#> D3en2_60 2 1.000
#> D3en2_61 1 0.000
#> D3en2_62 1 0.000
#> D3en2_63 1 0.000
#> D3en2_64 1 0.747
#> D3en2_65 1 0.000
#> D3en2_66 2 0.000
#> D3en2_67 1 0.000
#> D3en2_68 2 0.000
#> D3en2_69 1 0.000
#> D3en2_70 1 0.253
#> D3en2_71 2 0.000
#> D3en2_72 2 0.000
#> D3en2_73 1 0.000
#> D3en2_74 2 0.000
#> D3en2_75 1 0.000
#> D3en2_76 1 0.000
#> D3en2_77 1 0.000
#> D3en2_78 1 0.000
#> D3en2_79 1 0.000
#> D3en2_80 1 0.000
#> D3en2_81 1 0.000
#> D3en2_82 1 0.000
#> D3en2_83 1 0.000
#> D3en2_84 1 0.000
#> D3en2_85 1 0.000
#> D3en2_86 1 0.000
#> D3en2_87 1 0.000
#> D3en2_88 1 0.000
#> D3en2_89 1 0.000
#> D3en2_90 2 0.000
#> D3en2_91 1 0.000
#> D3en2_92 1 0.000
#> D3en2_93 1 0.000
#> D3en2_94 1 0.000
#> D3en2_95 1 0.000
#> D3en2_96 1 0.000
#> D3en3_1 1 0.000
#> D3en3_2 2 1.000
#> D3en3_3 1 0.000
#> D3en3_4 1 0.000
#> D3en3_5 1 0.000
#> D3en3_6 1 0.000
#> D3en3_7 1 0.249
#> D3en3_8 1 0.000
#> D3en3_9 2 1.000
#> D3en3_10 1 0.000
#> D3en3_11 1 0.000
#> D3en3_12 1 0.000
#> D3en3_13 1 0.000
#> D3en3_14 1 0.000
#> D3en3_15 1 0.000
#> D3en3_16 1 1.000
#> D3en3_17 1 0.000
#> D3en3_18 1 0.000
#> D3en3_19 1 0.000
#> D3en3_20 1 0.000
#> D3en3_21 1 0.000
#> D3en3_22 1 0.000
#> D3en3_23 1 0.000
#> D3en3_24 1 0.000
#> D3en3_25 1 0.000
#> D3en3_26 1 0.000
#> D3en3_27 1 0.000
#> D3en3_28 1 0.000
#> D3en3_29 1 1.000
#> D3en3_30 1 0.498
#> D3en3_31 1 0.000
#> D3en3_32 1 0.000
#> D3en3_33 1 0.000
#> D3en3_34 1 0.000
#> D3en3_35 1 0.000
#> D3en3_36 1 0.000
#> D3en3_37 1 0.000
#> D3en3_38 1 0.000
#> D3en3_39 3 1.000
#> D3en3_40 1 0.000
#> D3en3_41 1 0.000
#> D3en3_42 1 0.000
#> D3en3_43 1 0.000
#> D3en3_44 1 0.000
#> D3en3_45 1 0.751
#> D3en3_46 2 0.000
#> D3en3_47 1 0.000
#> D3en3_48 1 0.502
#> D3en3_49 1 0.000
#> D3en3_50 1 1.000
#> D3en3_51 3 0.000
#> D3en3_52 1 0.000
#> D3en3_53 1 0.000
#> D3en3_54 1 1.000
#> D3en3_55 1 0.000
#> D3en3_56 1 0.000
#> D3en3_57 1 0.000
#> D3en3_58 1 0.000
#> D3en3_59 1 0.000
#> D3en3_60 1 0.000
#> D3en3_61 1 0.000
#> D3en3_62 1 0.000
#> D3en3_63 1 0.000
#> D3en3_64 2 0.747
#> D3en3_65 1 1.000
#> D3en3_66 1 0.000
#> D3en3_67 1 0.249
#> D3en3_68 2 0.000
#> D3en3_69 1 0.000
#> D3en3_70 1 0.000
#> D3en3_71 1 0.000
#> D3en3_72 2 0.000
#> D3en3_73 1 0.000
#> D3en3_74 1 0.000
#> D3en3_75 1 1.000
#> D3en3_76 1 0.000
#> D3en3_77 1 0.000
#> D3en3_78 1 0.000
#> D3en3_79 1 0.000
#> D3en3_80 1 0.000
#> D3en3_81 1 0.000
#> D3en3_82 1 0.000
#> D3en3_83 1 0.000
#> D3en3_84 1 0.000
#> D3en3_85 1 0.751
#> D3en3_86 1 0.000
#> D3en3_87 2 1.000
#> D3en3_88 1 0.000
#> D3en3_89 1 0.000
#> D3en3_90 1 0.000
#> D3en3_91 1 0.000
#> D3en3_92 1 0.000
#> D3en3_93 1 0.000
#> D3en3_94 1 0.498
#> D3en3_95 1 0.000
#> D3en3_96 1 0.000
#> D3en4_1 1 0.000
#> D3en4_2 1 0.000
#> D3en4_3 1 0.000
#> D3en4_4 1 0.000
#> D3en4_5 1 0.000
#> D3en4_6 2 0.747
#> D3en4_7 2 0.000
#> D3en4_8 2 0.000
#> D3en4_9 2 0.000
#> D3en4_10 1 0.000
#> D3en4_11 1 0.000
#> D3en4_12 2 0.000
#> D3en4_13 1 0.498
#> D3en4_14 2 0.000
#> D3en4_15 1 0.253
#> D3en4_16 1 0.502
#> D3en4_17 1 0.498
#> D3en4_18 1 0.000
#> D3en4_19 1 0.000
#> D3en4_20 2 1.000
#> D3en4_21 1 0.751
#> D3en4_22 3 0.000
#> D3en4_23 2 0.000
#> D3en4_24 1 0.000
#> D3en4_25 2 0.000
#> D3en4_26 2 0.000
#> D3en4_27 1 1.000
#> D3en4_28 1 0.000
#> D3en4_29 1 0.000
#> D3en4_30 2 0.000
#> D3en4_31 2 0.000
#> D3en4_32 2 0.000
#> D3en4_33 3 0.000
#> D3en4_34 1 0.000
#> D3en4_35 2 0.000
#> D3en4_36 1 0.000
#> D3en4_37 1 0.000
#> D3en4_38 1 0.000
#> D3en4_39 2 0.000
#> D3en4_40 1 0.249
#> D3en4_41 2 0.000
#> D3en4_42 2 0.000
#> D3en4_43 1 0.000
#> D3en4_44 1 0.000
#> D3en4_45 1 0.000
#> D3en4_46 2 0.000
#> D3en4_47 3 0.000
#> D3en4_48 2 0.000
#> D3en4_49 1 0.502
#> D3en4_50 1 0.751
#> D3en4_51 1 0.502
#> D3en4_52 1 0.253
#> D3en4_53 1 0.000
#> D3en4_54 2 0.000
#> D3en4_55 1 0.000
#> D3en4_56 3 0.000
#> D3en4_57 1 0.000
#> D3en4_58 1 1.000
#> D3en4_59 1 0.000
#> D3en4_60 2 0.000
#> D3en4_61 2 0.000
#> D3en4_62 1 0.000
#> D3en4_63 2 0.000
#> D3en4_64 2 0.000
#> D3en4_65 2 0.000
#> D3en4_66 1 0.000
#> D3en4_67 1 0.249
#> D3en4_68 2 0.000
#> D3en4_69 2 0.000
#> D3en4_70 1 0.000
#> D3en4_71 3 0.000
#> D3en4_72 2 0.000
#> D3en4_73 2 0.000
#> D3en4_74 2 0.000
#> D3en4_75 1 0.000
#> D3en4_76 1 0.000
#> D3en4_77 1 0.000
#> D3en4_78 1 0.000
#> D3en4_79 1 0.000
#> D3en4_80 1 0.000
#> D3en4_81 1 0.000
#> D3en4_82 1 0.000
#> D3en4_83 2 1.000
#> D3en4_84 1 0.000
#> D3en4_85 1 0.000
#> D3en4_86 1 0.249
#> D3en4_87 2 0.000
#> D3en4_88 1 0.498
#> D3en4_89 3 0.502
#> D3en4_90 1 0.000
#> D3en4_91 3 0.000
#> D3en4_92 2 0.000
#> D3en4_93 1 0.000
#> D3en4_94 1 0.000
#> D3en4_95 1 0.000
#> D3en4_96 1 0.000
#> D3ex_1 1 0.000
#> D3ex_2 1 0.000
#> D3ex_3 1 0.000
#> D3ex_4 1 0.000
#> D3ex_5 2 0.000
#> D3ex_6 2 0.000
#> D3ex_7 1 0.000
#> D3ex_8 1 0.000
#> D3ex_9 2 1.000
#> D3ex_10 1 0.000
#> D3ex_11 1 0.000
#> D3ex_12 1 0.000
#> D3ex_13 1 0.000
#> D3ex_14 1 0.000
#> D3ex_15 1 0.000
#> D3ex_16 1 0.000
#> D3ex_17 1 0.000
#> D3ex_18 1 0.000
#> D3ex_19 1 0.000
#> D3ex_20 1 0.000
#> D3ex_21 1 0.000
#> D3ex_22 1 0.000
#> D3ex_23 1 0.000
#> D3ex_24 1 0.000
#> D3ex_25 1 0.000
#> D3ex_26 1 0.000
#> D3ex_27 1 0.000
#> D3ex_28 1 0.000
#> D3ex_29 1 0.000
#> D3ex_30 1 0.000
#> D3ex_31 1 0.000
#> D3ex_32 1 0.000
#> D3ex_33 1 0.000
#> D3ex_34 3 1.000
#> D3ex_35 1 0.000
#> D3ex_36 2 0.000
#> D3ex_37 1 0.000
#> D3ex_38 1 0.000
#> D3ex_39 1 0.000
#> D3ex_40 1 0.000
#> D3ex_41 1 1.000
#> D3ex_42 1 0.000
#> D3ex_43 1 0.000
#> D3ex_44 1 0.000
#> D3ex_45 1 0.000
#> D3ex_46 1 0.000
#> D3ex_47 1 0.000
#> D3ex_48 1 1.000
#> D3ex_49 1 0.000
#> D3ex_50 1 0.000
#> D3ex_51 1 1.000
#> D3ex_52 1 0.000
#> D3ex_53 1 0.000
#> D3ex_54 1 0.000
#> D3ex_55 1 0.751
#> D3ex_56 1 0.000
#> D3ex_57 1 0.000
#> D3ex_58 1 0.000
#> D3ex_59 1 0.000
#> D3ex_60 1 0.000
#> D3ex_61 1 0.000
#> D3ex_62 1 0.000
#> D3ex_63 1 0.000
#> D3ex_64 1 0.000
#> D3ex_65 1 0.000
#> D3ex_66 3 1.000
#> D3ex_67 1 0.000
#> D3ex_68 1 0.000
#> D3ex_69 1 0.502
#> D3ex_70 1 0.000
#> D3ex_71 2 0.000
#> D3ex_72 1 0.000
#> D3ex_73 1 0.000
#> D3ex_74 2 0.000
#> D3ex_75 1 0.000
#> D3ex_76 2 0.000
#> D3ex_77 1 1.000
#> D3ex_78 1 0.000
#> D3ex_79 1 0.000
#> D3ex_80 1 0.000
#> D3ex_81 1 0.000
#> D3ex_82 1 0.000
#> D3ex_83 2 0.000
#> D3ex_84 1 0.000
#> D3ex_85 1 0.000
#> D3ex_86 1 0.000
#> D3ex_87 1 0.000
#> D3ex_88 1 1.000
#> D3ex_89 1 0.000
#> D3ex_90 1 1.000
#> D3ex_91 2 0.000
#> D3ex_92 1 0.000
#> D3ex_93 1 0.000
#> D3ex_94 1 0.000
#> D3ex_95 1 0.000
#> D3ex_96 1 0.000
#> D74_1 3 0.000
#> D74_2 3 0.000
#> D74_3 3 0.000
#> D74_4 1 0.000
#> D74_5 3 0.000
#> D74_6 2 0.000
#> D74_7 2 0.000
#> D74_8 3 0.000
#> D74_9 3 0.000
#> D74_10 3 0.000
#> D74_11 1 0.502
#> D74_12 1 1.000
#> D74_13 2 0.000
#> D74_14 2 0.000
#> D74_15 3 1.000
#> D74_16 3 0.000
#> D74_17 2 0.000
#> D74_18 3 1.000
#> D74_19 1 1.000
#> D74_20 3 0.000
#> D74_21 1 1.000
#> D74_22 2 0.000
#> D74_23 2 0.000
#> D74_24 2 0.000
#> D74_25 3 0.000
#> D74_26 1 0.000
#> D74_27 2 0.000
#> D74_28 1 0.000
#> D74_29 3 0.000
#> D74_30 1 0.000
#> D74_31 2 0.751
#> D74_32 3 0.000
#> D74_33 3 0.000
#> D74_34 3 1.000
#> D74_35 3 0.000
#> D74_36 3 0.000
#> D74_37 2 1.000
#> D74_38 1 0.000
#> D74_39 2 0.000
#> D74_40 3 0.000
#> D74_41 3 0.000
#> D74_42 3 0.000
#> D74_43 2 0.000
#> D74_44 2 1.000
#> D74_45 2 0.000
#> D74_46 2 0.000
#> D74_47 2 0.000
#> D74_48 1 0.000
#> D74_49 3 0.000
#> D74_50 1 0.000
#> D74_51 3 0.000
#> D74_52 3 0.000
#> D74_53 3 0.000
#> D74_54 2 0.000
#> D74_55 3 0.253
#> D74_56 3 0.000
#> D74_57 3 0.000
#> D74_58 2 0.000
#> D74_59 3 1.000
#> D74_60 2 0.000
#> D74_61 3 0.000
#> D74_62 2 0.000
#> D74_63 2 0.000
#> D74_64 3 0.000
#> D74_65 3 0.000
#> D74_66 3 0.000
#> D74_67 3 0.000
#> D74_68 3 0.000
#> D74_69 2 0.000
#> D74_70 3 0.000
#> D74_71 2 0.000
#> D74_72 1 0.000
#> D74_73 1 0.000
#> D74_74 1 0.000
#> D74_75 3 0.000
#> D74_76 2 0.000
#> D74_77 3 0.000
#> D74_78 2 0.000
#> D74_79 2 0.000
#> D74_80 1 0.000
#> D74_81 2 0.000
#> D74_82 3 0.000
#> D74_83 3 0.000
#> D74_84 1 0.000
#> D74_85 3 0.000
#> D74_86 3 0.000
#> D74_87 3 0.000
#> D74_88 3 0.000
#> D74_89 1 0.000
#> D74_90 2 0.000
#> D74_91 2 0.000
#> D74_92 3 0.000
#> D74_93 2 0.000
#> D74_94 2 0.000
#> D74_95 3 0.000
#> D74_96 1 0.000
#> D71_1 1 0.498
#> D71_2 2 0.000
#> D71_3 3 0.000
#> D71_4 3 0.000
#> D71_5 2 0.000
#> D71_6 2 0.000
#> D71_7 1 1.000
#> D71_8 1 0.751
#> D71_9 3 0.000
#> D71_10 2 0.000
#> D71_11 1 0.000
#> D71_12 2 0.000
#> D71_13 1 0.000
#> D71_14 2 0.000
#> D71_15 3 0.000
#> D71_16 2 1.000
#> D71_17 1 1.000
#> D71_18 2 0.000
#> D71_19 3 0.000
#> D71_20 3 0.000
#> D71_21 3 0.000
#> D71_22 2 0.000
#> D71_23 2 0.000
#> D71_24 1 0.000
#> D71_25 1 0.000
#> D71_26 3 1.000
#> D71_27 2 0.000
#> D71_28 1 0.000
#> D71_29 3 0.000
#> D71_30 3 0.000
#> D71_31 2 0.000
#> D71_32 3 0.000
#> D71_33 2 0.000
#> D71_34 2 0.000
#> D71_35 3 0.000
#> D71_36 3 0.000
#> D71_37 3 0.000
#> D71_38 3 1.000
#> D71_39 2 0.000
#> D71_40 3 0.000
#> D71_41 2 0.000
#> D71_42 3 0.000
#> D71_43 3 0.000
#> D71_44 1 0.000
#> D71_45 1 0.000
#> D71_46 1 0.000
#> D71_47 1 1.000
#> D71_48 3 0.000
#> D71_49 3 0.000
#> D71_50 1 0.000
#> D71_51 3 0.000
#> D71_52 2 1.000
#> D71_53 2 0.000
#> D71_54 3 0.000
#> D71_55 3 0.000
#> D71_56 2 0.000
#> D71_57 3 0.000
#> D71_58 2 0.000
#> D71_59 3 0.000
#> D71_60 1 0.000
#> D71_61 3 0.000
#> D71_62 3 0.000
#> D71_63 3 0.000
#> D71_64 2 0.000
#> D71_65 2 0.000
#> D71_66 2 0.000
#> D71_67 2 0.000
#> D71_68 2 0.000
#> D71_69 2 0.000
#> D71_70 2 0.000
#> D71_71 2 0.000
#> D71_72 2 0.249
#> D71_73 1 0.000
#> D71_74 1 0.000
#> D71_75 2 0.000
#> D71_76 3 0.000
#> D71_77 1 0.000
#> D71_78 2 0.000
#> D71_79 3 0.000
#> D71_80 2 0.000
#> D71_81 2 0.000
#> D71_82 3 0.000
#> D71_83 3 0.000
#> D71_84 3 1.000
#> D71_85 2 0.000
#> D71_86 3 0.000
#> D71_87 3 0.000
#> D71_88 1 1.000
#> D71_89 1 0.000
#> D71_90 1 1.000
#> D71_91 3 0.000
#> D71_92 2 0.000
#> D71_93 3 0.000
#> D71_94 3 0.000
#> D71_95 2 0.000
#> D71_96 1 0.000
#> D72_1 2 1.000
#> D72_2 1 1.000
#> D72_3 1 0.000
#> D72_4 2 1.000
#> D72_5 1 1.000
#> D72_6 1 0.000
#> D72_7 1 0.498
#> D72_8 1 1.000
#> D72_9 1 1.000
#> D72_10 1 1.000
#> D72_11 1 0.000
#> D72_12 1 1.000
#> D72_13 1 0.000
#> D72_14 1 0.000
#> D72_15 1 0.000
#> D72_16 1 1.000
#> D72_17 1 0.000
#> D72_18 2 0.498
#> D72_19 1 0.000
#> D72_20 1 1.000
#> D72_21 1 1.000
#> D72_22 2 0.000
#> D72_23 1 0.000
#> D72_24 1 0.000
#> D72_25 1 0.249
#> D72_26 1 0.000
#> D72_27 1 0.000
#> D72_28 1 0.000
#> D72_29 1 1.000
#> D72_30 1 1.000
#> D72_31 2 1.000
#> D72_32 1 0.000
#> D72_33 2 0.000
#> D72_34 1 0.000
#> D72_35 1 0.000
#> D72_36 1 1.000
#> D72_37 2 0.000
#> D72_38 1 1.000
#> D72_39 3 1.000
#> D72_40 1 1.000
#> D72_41 1 1.000
#> D72_42 1 1.000
#> D72_43 2 0.000
#> D72_44 1 0.747
#> D72_45 1 1.000
#> D72_46 1 0.000
#> D72_47 3 1.000
#> D72_48 1 1.000
#> D72_49 2 0.000
#> D72_50 1 0.000
#> D72_51 1 0.000
#> D72_52 1 1.000
#> D72_53 2 0.000
#> D72_54 3 0.000
#> D72_55 3 1.000
#> D72_56 1 0.000
#> D72_57 1 1.000
#> D72_58 1 0.000
#> D72_59 1 1.000
#> D72_60 1 0.000
#> D72_61 2 1.000
#> D72_62 1 0.000
#> D72_63 1 0.000
#> D72_64 1 1.000
#> D72_65 2 0.000
#> D72_66 2 1.000
#> D72_67 3 0.000
#> D72_68 2 0.000
#> D72_69 3 0.000
#> D72_70 1 1.000
#> D72_71 3 0.000
#> D72_72 2 1.000
#> D72_73 1 0.000
#> D72_74 1 1.000
#> D72_75 3 0.000
#> D72_76 2 0.000
#> D72_77 1 1.000
#> D72_78 3 0.502
#> D72_79 3 1.000
#> D72_80 1 0.000
#> D72_81 3 0.000
#> D72_82 2 0.000
#> D72_83 1 0.000
#> D72_84 3 0.000
#> D72_85 3 0.000
#> D72_86 2 0.000
#> D72_87 1 1.000
#> D72_88 3 0.000
#> D72_89 1 0.000
#> D72_90 1 0.000
#> D72_91 3 0.000
#> D72_92 3 0.000
#> D72_93 2 0.000
#> D72_94 1 0.000
#> D72_95 2 0.000
#> D72_96 3 0.000
#> D73_1 3 0.000
#> D73_2 2 0.249
#> D73_3 3 0.000
#> D73_4 3 1.000
#> D73_5 2 0.000
#> D73_6 3 0.000
#> D73_7 1 1.000
#> D73_8 2 1.000
#> D73_9 3 0.000
#> D73_10 3 0.000
#> D73_11 2 1.000
#> D73_12 3 0.000
#> D73_13 1 0.000
#> D73_14 3 0.000
#> D73_15 1 1.000
#> D73_16 2 1.000
#> D73_17 3 0.000
#> D73_18 2 1.000
#> D73_19 2 0.000
#> D73_20 1 1.000
#> D73_21 3 0.000
#> D73_22 3 0.000
#> D73_23 2 0.000
#> D73_24 2 0.000
#> D73_25 2 0.000
#> D73_26 2 0.000
#> D73_27 2 0.000
#> D73_28 3 0.000
#> D73_29 2 0.000
#> D73_30 3 0.000
#> D73_31 3 0.000
#> D73_32 3 0.000
#> D73_33 3 0.000
#> D73_34 2 0.000
#> D73_35 2 0.000
#> D73_36 3 0.000
#> D73_37 2 0.000
#> D73_38 1 1.000
#> D73_39 2 0.000
#> D73_40 2 1.000
#> D73_41 3 0.000
#> D73_42 3 0.000
#> D73_43 2 0.000
#> D73_44 3 1.000
#> D73_45 3 0.000
#> D73_46 2 0.000
#> D73_47 1 0.000
#> D73_48 2 0.000
#> D73_49 1 0.000
#> D73_50 1 0.000
#> D73_51 2 0.000
#> D73_52 2 0.000
#> D73_53 1 0.000
#> D73_54 2 0.000
#> D73_55 3 0.000
#> D73_56 2 0.000
#> D73_57 2 0.000
#> D73_58 3 0.000
#> D73_59 3 0.000
#> D73_60 2 0.000
#> D73_61 3 0.000
#> D73_62 3 0.000
#> D73_63 2 0.000
#> D73_64 2 0.000
#> D73_65 2 0.000
#> D73_66 1 0.000
#> D73_67 3 0.000
#> D73_68 2 0.000
#> D73_69 3 0.000
#> D73_70 2 0.000
#> D73_71 2 0.000
#> D73_72 3 0.000
#> D73_73 2 0.000
#> D73_74 1 0.000
#> D73_75 1 0.000
#> D73_76 3 0.000
#> D73_77 1 0.000
#> D73_78 2 0.000
#> D73_79 3 0.000
#> D73_80 1 0.000
#> D73_81 3 0.000
#> D73_82 3 0.000
#> D73_83 2 0.000
#> D73_84 2 0.000
#> D73_85 3 0.000
#> D73_86 3 0.000
#> D73_87 3 0.000
#> D73_88 1 0.000
#> D73_89 1 1.000
#> D73_90 3 0.000
#> D73_91 3 0.000
#> D73_92 3 0.000
#> D73_93 1 0.000
#> D73_94 1 0.000
#> D73_95 1 0.000
#> D73_96 2 0.000
#> D10631_1 1 0.000
#> D10631_2 1 0.000
#> D10631_3 2 1.000
#> D10631_4 1 0.000
#> D10631_5 1 0.000
#> D10631_6 1 0.000
#> D10631_7 1 0.000
#> D10631_8 1 0.000
#> D10631_9 1 0.000
#> D10631_10 1 0.253
#> D10631_11 1 0.000
#> D10631_12 1 0.000
#> D10631_13 1 0.000
#> D10631_14 1 0.000
#> D10631_15 2 0.000
#> D10631_16 1 0.000
#> D10631_17 2 0.000
#> D10631_18 1 0.000
#> D10631_19 1 0.000
#> D10631_20 1 0.000
#> D10631_21 1 0.000
#> D10631_22 1 0.000
#> D10631_23 1 0.000
#> D10631_24 2 0.000
#> D10631_25 1 0.000
#> D10631_26 1 0.000
#> D10631_27 1 0.000
#> D10631_28 1 0.000
#> D10631_29 2 0.000
#> D10631_30 1 0.000
#> D10631_31 1 0.000
#> D10631_32 1 0.000
#> D10631_33 1 0.000
#> D10631_34 1 0.000
#> D10631_35 1 0.000
#> D10631_36 1 0.000
#> D10631_37 1 0.000
#> D10631_38 1 0.000
#> D10631_39 1 0.000
#> D10631_40 1 0.502
#> D10631_41 1 0.000
#> D10631_42 1 0.000
#> D10631_43 1 0.000
#> D10631_44 1 0.000
#> D10631_45 2 0.000
#> D10631_46 1 0.000
#> D10631_47 1 0.000
#> D10631_48 2 0.747
#> D10631_49 1 0.000
#> D10631_50 1 0.000
#> D10631_51 1 0.000
#> D10631_52 1 0.000
#> D10631_53 2 0.000
#> D10631_54 2 0.000
#> D10631_55 1 0.000
#> D10631_56 2 0.000
#> D10631_57 2 0.000
#> D10631_58 1 0.000
#> D10631_59 1 0.000
#> D10631_60 1 0.000
#> D10631_61 3 0.000
#> D10631_62 1 0.000
#> D10631_63 2 0.000
#> D10631_64 1 0.000
#> D10631_65 2 0.000
#> D10631_66 2 0.000
#> D10631_67 2 0.000
#> D10631_68 2 0.000
#> D10631_69 2 0.000
#> D10631_70 2 0.000
#> D10631_71 1 0.249
#> D10631_72 1 0.000
#> D10631_73 1 0.000
#> D10631_74 1 0.000
#> D10631_75 1 0.000
#> D10631_76 2 0.000
#> D10631_77 1 0.000
#> D10631_78 1 0.000
#> D10631_79 1 0.000
#> D10631_80 1 0.000
#> D10631_81 1 0.000
#> D10631_82 1 0.000
#> D10631_83 1 0.000
#> D10631_84 1 0.000
#> D10631_85 2 0.000
#> D10631_86 1 0.000
#> D10631_87 1 0.000
#> D10631_88 1 0.000
#> D10631_89 1 0.000
#> D10631_90 2 0.000
#> D10631_91 2 0.000
#> D10631_92 2 1.000
#> D10631_93 1 0.000
#> D10631_94 1 0.000
#> D10631_95 2 0.000
#> D10631_96 2 0.000
#> D101_1 1 1.000
#> D101_2 1 0.000
#> D101_3 1 0.000
#> D101_4 1 0.000
#> D101_5 3 0.000
#> D101_6 1 0.000
#> D101_7 2 0.000
#> D101_8 1 0.000
#> D101_9 1 0.000
#> D101_10 3 0.000
#> D101_11 1 0.000
#> D101_12 1 0.000
#> D101_13 3 0.000
#> D101_14 3 0.000
#> D101_15 1 0.000
#> D101_16 1 0.000
#> D101_17 2 0.000
#> D101_18 1 0.000
#> D101_19 1 0.000
#> D101_20 1 0.000
#> D101_21 2 0.000
#> D101_22 3 0.000
#> D101_23 1 0.000
#> D101_24 2 1.000
#> D101_25 3 0.000
#> D101_26 1 0.000
#> D101_27 2 0.000
#> D101_28 1 1.000
#> D101_29 2 0.000
#> D101_30 1 0.000
#> D101_31 3 0.000
#> D101_32 1 0.000
#> D101_33 1 0.000
#> D101_34 1 1.000
#> D101_35 3 0.000
#> D101_36 1 0.000
#> D101_37 2 0.000
#> D101_38 1 0.000
#> D101_39 1 0.000
#> D101_40 1 0.000
#> D101_41 1 0.000
#> D101_42 1 0.000
#> D101_43 3 0.000
#> D101_44 1 0.000
#> D101_45 1 0.000
#> D101_46 1 0.000
#> D101_47 1 0.000
#> D101_48 2 0.000
#> D101_49 1 0.000
#> D101_50 2 0.000
#> D101_51 2 0.000
#> D101_52 2 0.000
#> D101_53 2 0.000
#> D101_54 1 0.000
#> D101_55 1 0.000
#> D101_56 1 0.000
#> D101_57 1 0.000
#> D101_58 1 0.000
#> D101_59 1 0.000
#> D101_60 1 0.000
#> D101_61 1 0.000
#> D101_62 1 0.000
#> D101_63 1 0.000
#> D101_64 1 0.000
#> D101_65 1 0.000
#> D101_66 2 0.000
#> D101_67 1 0.000
#> D101_68 1 0.000
#> D101_69 2 0.000
#> D101_70 1 0.000
#> D101_71 1 0.000
#> D101_72 2 0.000
#> D101_73 1 1.000
#> D101_74 2 0.000
#> D101_75 1 0.000
#> D101_76 1 0.000
#> D101_77 1 1.000
#> D101_78 1 0.000
#> D101_79 1 0.000
#> D101_80 1 0.000
#> D101_81 3 0.000
#> D101_82 2 0.000
#> D101_83 1 1.000
#> D101_84 3 0.000
#> D101_85 1 0.000
#> D101_86 1 0.000
#> D101_87 1 0.000
#> D101_88 1 0.000
#> D101_89 3 0.000
#> D101_90 1 0.000
#> D101_91 1 0.000
#> D101_92 1 0.000
#> D101_93 3 0.000
#> D101_94 1 0.000
#> D101_95 3 0.000
#> D101_96 1 0.000
#> D102_1 2 0.000
#> D102_2 1 0.000
#> D102_3 1 0.498
#> D102_4 3 0.000
#> D102_5 1 0.000
#> D102_6 1 1.000
#> D102_7 3 0.000
#> D102_8 1 0.000
#> D102_9 1 0.000
#> D102_10 1 0.000
#> D102_11 3 0.000
#> D102_12 1 0.000
#> D102_13 1 0.000
#> D102_14 1 0.000
#> D102_15 1 0.000
#> D102_16 1 0.000
#> D102_17 3 0.000
#> D102_18 3 0.000
#> D102_19 1 0.000
#> D102_20 1 0.000
#> D102_21 2 0.000
#> D102_22 1 0.000
#> D102_23 1 0.000
#> D102_24 3 0.000
#> D102_25 3 0.000
#> D102_26 2 0.000
#> D102_27 1 0.000
#> D102_28 1 0.000
#> D102_29 1 0.000
#> D102_30 1 0.000
#> D102_31 1 0.000
#> D102_32 1 0.000
#> D102_33 1 0.000
#> D102_34 1 0.000
#> D102_35 1 0.000
#> D102_36 1 0.000
#> D102_37 1 0.000
#> D102_38 1 0.000
#> D102_39 3 0.000
#> D102_40 1 1.000
#> D102_41 1 0.000
#> D102_42 1 0.000
#> D102_43 1 0.000
#> D102_44 1 0.000
#> D102_45 3 0.000
#> D102_46 1 0.000
#> D102_47 1 0.000
#> D102_48 1 0.000
#> D102_49 1 0.000
#> D102_50 3 0.000
#> D102_51 2 0.000
#> D102_52 1 0.000
#> D102_53 1 0.000
#> D102_54 2 0.000
#> D102_55 3 0.000
#> D102_56 1 0.000
#> D102_57 1 0.000
#> D102_58 3 0.000
#> D102_59 3 0.000
#> D102_60 1 0.000
#> D102_61 3 0.000
#> D102_62 1 0.000
#> D102_63 3 0.000
#> D102_64 2 0.000
#> D102_65 1 0.000
#> D102_66 3 0.249
#> D102_67 1 0.000
#> D102_68 2 1.000
#> D102_69 2 0.000
#> D102_70 1 0.000
#> D102_71 2 0.000
#> D102_72 1 0.000
#> D102_73 2 0.000
#> D102_74 1 0.000
#> D102_75 1 0.000
#> D102_76 2 0.000
#> D102_77 1 0.000
#> D102_78 2 1.000
#> D102_79 2 0.000
#> D102_80 1 0.000
#> D102_81 1 0.000
#> D102_82 1 0.000
#> D102_83 1 0.000
#> D102_84 1 0.000
#> D102_85 1 0.000
#> D102_86 1 0.000
#> D102_87 2 0.000
#> D102_88 1 0.000
#> D102_89 1 0.000
#> D102_90 1 0.249
#> D102_91 3 1.000
#> D102_92 1 0.000
#> D102_93 3 0.000
#> D102_94 3 0.000
#> D102_95 1 0.000
#> D102_96 3 0.000
#> D1713_1 2 0.000
#> D1713_2 2 0.000
#> D1713_3 2 0.000
#> D1713_4 2 0.000
#> D1713_5 3 1.000
#> D1713_6 1 0.498
#> D1713_7 1 0.751
#> D1713_8 2 0.000
#> D1713_9 3 0.000
#> D1713_10 2 0.000
#> D1713_11 3 0.000
#> D1713_12 2 0.000
#> D1713_13 2 0.000
#> D1713_14 2 0.000
#> D1713_15 2 0.000
#> D1713_16 2 0.000
#> D1713_17 2 0.000
#> D1713_18 1 1.000
#> D1713_19 3 0.000
#> D1713_20 2 0.000
#> D1713_21 3 0.000
#> D1713_22 2 0.000
#> D1713_23 2 0.000
#> D1713_24 1 0.000
#> D1713_25 2 0.000
#> D1713_26 3 0.000
#> D1713_27 2 0.000
#> D1713_28 2 0.000
#> D1713_29 2 0.000
#> D1713_30 2 0.000
#> D1713_31 2 0.000
#> D1713_32 2 0.000
#> D1713_33 2 0.000
#> D1713_34 2 0.000
#> D1713_35 2 0.000
#> D1713_36 1 0.000
#> D1713_37 1 0.747
#> D1713_38 2 0.000
#> D1713_39 1 1.000
#> D1713_40 2 0.000
#> D1713_41 2 0.000
#> D1713_42 2 0.000
#> D1713_43 2 0.000
#> D1713_44 1 0.000
#> D1713_45 1 0.000
#> D1713_46 2 0.000
#> D1713_47 2 0.000
#> D1713_48 2 0.000
#> D1713_49 2 0.000
#> D1713_50 2 0.000
#> D1713_51 2 0.000
#> D1713_52 2 0.000
#> D1713_53 2 0.000
#> D1713_54 2 0.000
#> D1713_55 2 0.000
#> D1713_56 2 0.000
#> D1713_57 2 0.000
#> D1713_58 2 0.000
#> D1713_59 2 0.000
#> D1713_60 1 0.000
#> D1713_61 2 0.000
#> D1713_62 2 0.000
#> D1713_63 2 0.000
#> D1713_64 2 0.000
#> D1713_65 2 0.000
#> D1713_66 2 0.000
#> D1713_67 2 0.000
#> D1713_68 2 0.000
#> D1713_69 2 0.000
#> D1713_70 2 0.000
#> D1713_71 2 0.000
#> D1713_72 2 0.000
#> D1713_73 2 0.000
#> D1713_74 2 0.000
#> D1713_75 2 0.000
#> D1713_76 2 0.000
#> D1713_77 2 0.000
#> D1713_78 1 0.253
#> D1713_79 2 0.000
#> D1713_80 2 0.000
#> D1713_81 2 0.000
#> D1713_82 2 0.000
#> D1713_83 2 0.000
#> D1713_84 2 0.000
#> D1713_85 2 0.000
#> D1713_86 2 0.000
#> D1713_87 2 0.000
#> D1713_88 2 0.000
#> D1713_89 2 0.000
#> D1713_90 3 1.000
#> D1713_91 2 0.000
#> D1713_92 2 0.000
#> D1713_93 3 1.000
#> D1713_94 2 0.000
#> D1713_95 3 0.000
#> D1713_96 1 1.000
#> D172444_1 3 0.000
#> D172444_2 1 1.000
#> D172444_3 1 1.000
#> D172444_4 1 1.000
#> D172444_5 1 0.000
#> D172444_6 1 0.000
#> D172444_7 1 1.000
#> D172444_8 3 0.000
#> D172444_9 3 0.000
#> D172444_10 3 0.000
#> D172444_11 3 0.000
#> D172444_12 1 1.000
#> D172444_13 3 0.000
#> D172444_14 3 0.000
#> D172444_15 1 0.000
#> D172444_16 1 0.000
#> D172444_17 1 1.000
#> D172444_18 3 0.000
#> D172444_19 2 0.000
#> D172444_20 1 1.000
#> D172444_21 3 0.000
#> D172444_22 3 1.000
#> D172444_23 1 1.000
#> D172444_24 1 1.000
#> D172444_25 1 1.000
#> D172444_26 3 0.000
#> D172444_27 1 1.000
#> D172444_28 1 1.000
#> D172444_29 3 0.000
#> D172444_30 1 1.000
#> D172444_31 3 0.000
#> D172444_32 3 0.000
#> D172444_33 3 1.000
#> D172444_34 1 1.000
#> D172444_35 3 1.000
#> D172444_36 3 0.000
#> D172444_37 3 0.000
#> D172444_38 3 0.000
#> D172444_39 3 1.000
#> D172444_40 1 0.000
#> D172444_41 3 0.502
#> D172444_42 3 0.000
#> D172444_43 3 0.000
#> D172444_44 1 0.498
#> D172444_45 1 0.751
#> D172444_46 3 0.000
#> D172444_47 3 0.000
#> D172444_48 3 0.000
#> D172444_49 3 0.000
#> D172444_50 1 1.000
#> D172444_51 3 0.000
#> D172444_52 3 0.000
#> D172444_53 3 0.000
#> D172444_54 3 0.000
#> D172444_55 3 0.000
#> D172444_56 3 0.000
#> D172444_57 3 0.000
#> D172444_58 3 1.000
#> D172444_59 1 0.000
#> D172444_60 3 0.000
#> D172444_61 1 1.000
#> D172444_62 3 0.000
#> D172444_63 1 1.000
#> D172444_64 3 0.000
#> D172444_65 3 0.000
#> D172444_66 3 0.000
#> D172444_67 3 0.000
#> D172444_68 3 1.000
#> D172444_69 3 0.498
#> D172444_70 1 1.000
#> D172444_71 3 0.000
#> D172444_72 3 0.000
#> D172444_73 3 0.000
#> D172444_74 3 1.000
#> D172444_75 3 0.000
#> D172444_76 3 0.000
#> D172444_77 3 0.000
#> D172444_78 3 0.000
#> D172444_79 3 0.000
#> D172444_80 3 0.000
#> D172444_81 3 0.000
#> D172444_82 1 1.000
#> D172444_83 3 0.000
#> D172444_84 1 1.000
#> D172444_85 3 0.000
#> D172444_86 3 0.000
#> D172444_87 3 0.000
#> D172444_88 3 0.000
#> D172444_89 1 0.000
#> D172444_90 1 1.000
#> D172444_91 3 0.000
#> D172444_92 1 1.000
#> D172444_93 3 0.000
#> D172444_94 1 0.000
#> D172444_95 1 0.000
#> D172444_96 1 0.000
#> D17All1_1 3 0.000
#> D17All1_2 3 0.000
#> D17All1_3 3 0.000
#> D17All1_4 3 1.000
#> D17All1_5 3 0.000
#> D17All1_6 3 0.000
#> D17All1_7 3 0.000
#> D17All1_8 3 0.000
#> D17All1_9 2 0.000
#> D17All1_10 3 0.000
#> D17All1_11 2 0.000
#> D17All1_12 3 0.000
#> D17All1_13 1 0.000
#> D17All1_14 1 0.000
#> D17All1_15 1 0.000
#> D17All1_16 2 0.000
#> D17All1_17 1 0.000
#> D17All1_18 3 0.000
#> D17All1_19 3 0.000
#> D17All1_20 2 0.000
#> D17All1_21 1 0.000
#> D17All1_22 3 0.000
#> D17All1_23 3 0.000
#> D17All1_24 2 0.000
#> D17All1_25 2 0.000
#> D17All1_26 2 0.000
#> D17All1_27 3 0.000
#> D17All1_28 3 0.000
#> D17All1_29 2 0.000
#> D17All1_30 3 0.000
#> D17All1_31 2 0.000
#> D17All1_32 2 0.000
#> D17All1_33 3 0.000
#> D17All1_34 1 1.000
#> D17All1_35 3 0.000
#> D17All1_36 2 0.000
#> D17All1_37 3 0.000
#> D17All1_38 3 0.000
#> D17All1_39 3 0.000
#> D17All1_40 3 0.000
#> D17All1_41 2 0.000
#> D17All1_42 3 0.000
#> D17All1_43 3 0.000
#> D17All1_44 2 0.000
#> D17All1_45 2 0.000
#> D17All1_46 3 0.000
#> D17All1_47 2 0.000
#> D17All1_48 2 0.000
#> D17All1_49 3 0.000
#> D17All1_50 2 0.000
#> D17All1_51 3 0.000
#> D17All1_52 2 0.000
#> D17All1_53 2 0.249
#> D17All1_54 3 1.000
#> D17All1_55 3 0.000
#> D17All1_56 2 0.000
#> D17All1_57 3 0.000
#> D17All1_58 3 1.000
#> D17All1_59 3 0.000
#> D17All1_60 3 0.000
#> D17All1_61 3 0.000
#> D17All1_62 3 0.000
#> D17All1_63 3 0.000
#> D17All1_64 3 0.000
#> D17All1_65 2 0.000
#> D17All1_66 3 1.000
#> D17All1_67 3 1.000
#> D17All1_68 2 0.000
#> D17All1_69 2 0.000
#> D17All1_70 3 0.000
#> D17All1_71 3 0.000
#> D17All1_72 3 1.000
#> D17All1_73 3 1.000
#> D17All1_74 3 0.000
#> D17All1_75 3 0.747
#> D17All1_76 2 0.000
#> D17All1_77 3 0.000
#> D17All1_78 2 0.000
#> D17All1_79 2 0.000
#> D17All1_80 3 0.000
#> D17All1_81 3 0.000
#> D17All1_82 3 1.000
#> D17All1_83 3 1.000
#> D17All1_84 2 0.000
#> D17All1_85 1 0.000
#> D17All1_86 2 0.000
#> D17All1_87 3 0.747
#> D17All1_88 3 0.000
#> D17All1_89 3 0.000
#> D17All1_90 3 0.000
#> D17All1_91 3 1.000
#> D17All1_92 2 0.000
#> D17All1_93 3 1.000
#> D17All1_94 1 0.000
#> D17All1_95 3 0.000
#> D17All1_96 2 0.000
#> D17All2_1 3 0.000
#> D17All2_2 3 0.000
#> D17All2_3 2 0.000
#> D17All2_4 2 0.000
#> D17All2_5 1 0.000
#> D17All2_6 3 0.000
#> D17All2_7 3 0.000
#> D17All2_8 2 0.000
#> D17All2_9 3 0.000
#> D17All2_10 3 0.000
#> D17All2_11 3 0.000
#> D17All2_12 3 0.000
#> D17All2_13 3 0.000
#> D17All2_14 3 1.000
#> D17All2_15 3 0.000
#> D17All2_16 3 0.000
#> D17All2_17 3 0.000
#> D17All2_18 2 0.000
#> D17All2_19 3 0.000
#> D17All2_20 3 0.000
#> D17All2_21 3 1.000
#> D17All2_22 3 0.000
#> D17All2_23 2 0.000
#> D17All2_24 3 0.000
#> D17All2_25 3 1.000
#> D17All2_26 3 0.000
#> D17All2_27 3 0.000
#> D17All2_28 3 0.000
#> D17All2_29 2 0.000
#> D17All2_30 3 0.000
#> D17All2_31 3 1.000
#> D17All2_32 3 0.000
#> D17All2_33 1 1.000
#> D17All2_34 3 0.000
#> D17All2_35 1 1.000
#> D17All2_36 3 0.000
#> D17All2_37 3 0.000
#> D17All2_38 3 0.000
#> D17All2_39 3 0.000
#> D17All2_40 3 0.000
#> D17All2_41 3 0.000
#> D17All2_42 1 1.000
#> D17All2_43 3 0.000
#> D17All2_44 3 0.000
#> D17All2_45 3 0.000
#> D17All2_46 3 0.000
#> D17All2_47 3 0.000
#> D17All2_48 2 0.000
#> D17All2_49 3 0.000
#> D17All2_50 1 0.000
#> D17All2_51 1 1.000
#> D17All2_52 3 0.000
#> D17All2_53 2 0.000
#> D17All2_54 2 0.000
#> D17All2_55 3 0.000
#> D17All2_56 3 1.000
#> D17All2_57 3 0.000
#> D17All2_58 2 0.000
#> D17All2_59 2 0.000
#> D17All2_60 1 1.000
#> D17All2_61 3 0.000
#> D17All2_62 3 0.000
#> D17All2_63 3 0.000
#> D17All2_64 3 0.000
#> D17All2_65 3 0.000
#> D17All2_66 2 0.000
#> D17All2_67 1 1.000
#> D17All2_68 3 0.000
#> D17All2_69 3 0.000
#> D17All2_70 2 0.000
#> D17All2_71 2 0.000
#> D17All2_72 2 0.000
#> D17All2_73 1 1.000
#> D17All2_74 3 0.000
#> D17All2_75 1 0.000
#> D17All2_76 2 0.000
#> D17All2_77 2 0.000
#> D17All2_78 3 0.000
#> D17All2_79 2 0.000
#> D17All2_80 2 1.000
#> D17All2_81 2 0.000
#> D17All2_82 1 1.000
#> D17All2_83 2 0.000
#> D17All2_84 3 0.000
#> D17All2_85 3 0.000
#> D17All2_86 2 0.000
#> D17All2_87 3 0.000
#> D17All2_88 3 0.000
#> D17All2_89 1 0.000
#> D17All2_90 3 0.000
#> D17All2_91 2 0.000
#> D17All2_92 3 0.000
#> D17All2_93 2 0.000
#> D17All2_94 3 0.000
#> D17All2_95 3 0.000
#> D17All2_96 1 0.000
#> D17TGFB_1 3 0.000
#> D17TGFB_2 3 1.000
#> D17TGFB_3 2 0.000
#> D17TGFB_4 2 0.000
#> D17TGFB_5 2 0.000
#> D17TGFB_6 2 0.000
#> D17TGFB_7 3 1.000
#> D17TGFB_8 2 0.000
#> D17TGFB_9 2 0.000
#> D17TGFB_10 2 0.000
#> D17TGFB_11 3 0.000
#> D17TGFB_12 2 0.000
#> D17TGFB_13 3 0.000
#> D17TGFB_14 2 0.000
#> D17TGFB_15 3 0.000
#> D17TGFB_16 3 0.000
#> D17TGFB_17 2 0.000
#> D17TGFB_18 1 0.000
#> D17TGFB_19 2 0.000
#> D17TGFB_20 3 0.000
#> D17TGFB_21 2 0.000
#> D17TGFB_22 2 0.000
#> D17TGFB_23 2 0.000
#> D17TGFB_24 2 0.000
#> D17TGFB_25 1 0.000
#> D17TGFB_26 2 1.000
#> D17TGFB_27 2 0.000
#> D17TGFB_28 1 0.000
#> D17TGFB_29 2 0.751
#> D17TGFB_30 1 1.000
#> D17TGFB_31 2 0.000
#> D17TGFB_32 1 0.000
#> D17TGFB_33 2 1.000
#> D17TGFB_34 2 0.000
#> D17TGFB_35 3 0.000
#> D17TGFB_36 2 0.000
#> D17TGFB_37 2 0.000
#> D17TGFB_38 2 0.000
#> D17TGFB_39 2 0.000
#> D17TGFB_40 3 1.000
#> D17TGFB_41 2 0.000
#> D17TGFB_42 1 0.747
#> D17TGFB_43 2 0.000
#> D17TGFB_44 3 1.000
#> D17TGFB_45 2 0.000
#> D17TGFB_46 1 0.747
#> D17TGFB_47 2 0.000
#> D17TGFB_48 3 0.000
#> D17TGFB_49 2 0.751
#> D17TGFB_50 1 1.000
#> D17TGFB_51 2 0.000
#> D17TGFB_52 3 0.000
#> D17TGFB_53 3 0.000
#> D17TGFB_54 2 0.000
#> D17TGFB_55 2 0.000
#> D17TGFB_56 2 0.000
#> D17TGFB_57 2 0.000
#> D17TGFB_58 2 0.000
#> D17TGFB_59 2 0.000
#> D17TGFB_60 1 0.000
#> D17TGFB_61 2 0.000
#> D17TGFB_62 1 0.000
#> D17TGFB_63 3 0.000
#> D17TGFB_64 2 0.000
#> D17TGFB_65 3 0.000
#> D17TGFB_66 2 0.000
#> D17TGFB_67 2 0.000
#> D17TGFB_68 2 1.000
#> D17TGFB_69 3 0.000
#> D17TGFB_70 3 0.000
#> D17TGFB_71 2 0.000
#> D17TGFB_72 2 0.000
#> D17TGFB_73 3 0.000
#> D17TGFB_74 2 0.000
#> D17TGFB_75 3 0.000
#> D17TGFB_76 2 0.000
#> D17TGFB_77 2 0.000
#> D17TGFB_78 3 0.000
#> D17TGFB_79 2 0.000
#> D17TGFB_80 2 0.000
#> D17TGFB_81 2 0.000
#> D17TGFB_82 3 0.000
#> D17TGFB_83 2 0.000
#> D17TGFB_84 1 0.000
#> D17TGFB_85 2 0.000
#> D17TGFB_86 2 0.000
#> D17TGFB_87 2 0.000
#> D17TGFB_88 2 0.000
#> D17TGFB_89 2 0.000
#> D17TGFB_90 3 0.000
#> D17TGFB_91 3 0.000
#> D17TGFB_92 2 0.000
#> D17TGFB_93 2 0.000
#> D17TGFB_94 3 0.000
#> D17TGFB_95 3 0.000
#> D17TGFB_96 1 0.000
get_classes(res, k = 4)
#> class p
#> D2ex_1 4 0.000
#> D2ex_2 4 0.000
#> D2ex_3 4 0.000
#> D2ex_4 2 0.000
#> D2ex_5 4 0.000
#> D2ex_6 2 0.000
#> D2ex_7 2 0.000
#> D2ex_8 4 0.000
#> D2ex_9 2 0.000
#> D2ex_10 2 0.000
#> D2ex_11 4 0.000
#> D2ex_12 4 0.000
#> D2ex_13 4 0.000
#> D2ex_14 4 0.000
#> D2ex_15 2 0.000
#> D2ex_16 2 0.000
#> D2ex_17 4 0.000
#> D2ex_18 2 0.000
#> D2ex_19 2 0.000
#> D2ex_20 2 0.000
#> D2ex_21 2 0.000
#> D2ex_22 2 0.000
#> D2ex_23 4 0.000
#> D2ex_24 4 0.000
#> D2ex_25 4 0.000
#> D2ex_26 4 0.751
#> D2ex_27 4 0.000
#> D2ex_28 2 0.000
#> D2ex_29 2 0.000
#> D2ex_30 4 0.000
#> D2ex_31 4 0.000
#> D2ex_32 4 0.000
#> D2ex_33 4 0.249
#> D2ex_34 2 0.000
#> D2ex_35 2 0.000
#> D2ex_36 4 0.000
#> D2ex_37 2 0.000
#> D2ex_38 4 0.000
#> D2ex_39 1 1.000
#> D2ex_40 4 0.253
#> D2ex_41 4 0.000
#> D2ex_42 4 0.000
#> D2ex_43 3 0.000
#> D2ex_44 2 0.000
#> D2ex_45 1 0.000
#> D2ex_46 2 0.000
#> D2ex_47 2 0.000
#> D2ex_48 1 0.751
#> D2ex_49 4 0.000
#> D2ex_50 4 0.000
#> D2ex_51 2 0.000
#> D2ex_52 2 0.000
#> D2ex_53 4 0.751
#> D2ex_54 1 0.000
#> D2ex_55 4 0.000
#> D2ex_56 4 0.000
#> D2ex_57 2 0.000
#> D2ex_58 2 0.000
#> D2ex_59 4 0.751
#> D2ex_60 1 1.000
#> D2ex_61 2 0.000
#> D2ex_62 4 0.000
#> D2ex_63 1 0.000
#> D2ex_64 1 0.000
#> D2ex_65 1 0.000
#> D2ex_66 2 0.000
#> D2ex_67 2 0.000
#> D2ex_68 2 0.000
#> D2ex_69 2 0.000
#> D2ex_70 2 0.000
#> D2ex_71 2 0.000
#> D2ex_72 4 0.000
#> D2ex_73 2 0.000
#> D2ex_74 4 0.000
#> D2ex_75 4 0.000
#> D2ex_76 2 0.000
#> D2ex_77 4 0.000
#> D2ex_78 3 0.000
#> D2ex_79 2 0.000
#> D2ex_80 1 0.000
#> D2ex_81 1 1.000
#> D2ex_82 4 0.000
#> D2ex_83 2 0.000
#> D2ex_84 2 0.000
#> D2ex_85 2 0.000
#> D2ex_86 4 0.000
#> D2ex_87 4 0.000
#> D2ex_88 2 0.000
#> D2ex_89 4 0.000
#> D2ex_90 2 0.000
#> D2ex_91 1 0.498
#> D2ex_92 2 0.000
#> D2ex_93 1 0.000
#> D2ex_94 1 0.000
#> D2ex_95 1 0.000
#> D2ex_96 1 0.000
#> D3en1_1 4 0.000
#> D3en1_2 1 1.000
#> D3en1_3 1 0.000
#> D3en1_4 1 0.000
#> D3en1_5 4 0.000
#> D3en1_6 1 1.000
#> D3en1_7 1 1.000
#> D3en1_8 1 1.000
#> D3en1_9 1 0.000
#> D3en1_10 4 0.498
#> D3en1_11 2 0.000
#> D3en1_12 1 0.000
#> D3en1_13 4 0.000
#> D3en1_14 1 0.000
#> D3en1_15 1 0.000
#> D3en1_16 1 0.000
#> D3en1_17 1 0.000
#> D3en1_18 1 0.000
#> D3en1_19 1 0.000
#> D3en1_20 1 0.000
#> D3en1_21 1 0.751
#> D3en1_22 1 0.000
#> D3en1_23 1 0.000
#> D3en1_24 1 1.000
#> D3en1_25 1 0.000
#> D3en1_26 4 0.502
#> D3en1_27 1 1.000
#> D3en1_28 4 0.000
#> D3en1_29 1 0.502
#> D3en1_30 4 0.000
#> D3en1_31 1 0.000
#> D3en1_32 1 0.000
#> D3en1_33 1 1.000
#> D3en1_34 1 0.000
#> D3en1_35 1 0.000
#> D3en1_36 1 0.000
#> D3en1_37 4 0.000
#> D3en1_38 4 0.000
#> D3en1_39 1 0.000
#> D3en1_40 1 0.000
#> D3en1_41 4 0.000
#> D3en1_42 1 0.000
#> D3en1_43 1 1.000
#> D3en1_44 1 1.000
#> D3en1_45 2 0.000
#> D3en1_46 1 0.000
#> D3en1_47 1 1.000
#> D3en1_48 2 0.000
#> D3en1_49 4 0.000
#> D3en1_50 4 0.000
#> D3en1_51 1 0.000
#> D3en1_52 1 0.000
#> D3en1_53 1 1.000
#> D3en1_54 4 0.000
#> D3en1_55 4 1.000
#> D3en1_56 2 0.000
#> D3en1_57 1 0.000
#> D3en1_58 1 0.000
#> D3en1_59 1 0.000
#> D3en1_60 2 0.000
#> D3en1_61 1 0.000
#> D3en1_62 1 0.000
#> D3en1_63 3 0.000
#> D3en1_64 1 0.502
#> D3en1_65 1 1.000
#> D3en1_66 1 0.000
#> D3en1_67 4 0.000
#> D3en1_68 4 0.000
#> D3en1_69 3 0.000
#> D3en1_70 1 0.000
#> D3en1_71 4 0.000
#> D3en1_72 1 0.000
#> D3en1_73 4 0.000
#> D3en1_74 1 0.000
#> D3en1_75 4 0.000
#> D3en1_76 1 0.000
#> D3en1_77 1 0.000
#> D3en1_78 1 0.000
#> D3en1_79 4 0.249
#> D3en1_80 1 0.000
#> D3en1_81 1 0.000
#> D3en1_82 1 0.000
#> D3en1_83 1 1.000
#> D3en1_84 4 0.000
#> D3en1_85 1 1.000
#> D3en1_86 1 0.000
#> D3en1_87 4 0.000
#> D3en1_88 4 0.498
#> D3en1_89 4 0.000
#> D3en1_90 1 0.000
#> D3en1_91 1 0.000
#> D3en1_92 1 0.000
#> D3en1_93 1 0.000
#> D3en1_94 4 0.000
#> D3en1_95 1 0.000
#> D3en1_96 1 0.000
#> D3en2_1 1 1.000
#> D3en2_2 1 0.000
#> D3en2_3 4 0.000
#> D3en2_4 1 0.000
#> D3en2_5 4 0.000
#> D3en2_6 4 0.000
#> D3en2_7 4 0.000
#> D3en2_8 1 0.000
#> D3en2_9 1 0.498
#> D3en2_10 1 0.000
#> D3en2_11 1 0.498
#> D3en2_12 1 0.000
#> D3en2_13 1 1.000
#> D3en2_14 1 0.000
#> D3en2_15 1 0.000
#> D3en2_16 4 0.000
#> D3en2_17 1 1.000
#> D3en2_18 1 0.000
#> D3en2_19 1 0.000
#> D3en2_20 1 0.000
#> D3en2_21 4 0.000
#> D3en2_22 1 1.000
#> D3en2_23 2 0.000
#> D3en2_24 1 0.000
#> D3en2_25 2 0.502
#> D3en2_26 4 0.000
#> D3en2_27 4 0.000
#> D3en2_28 1 0.000
#> D3en2_29 1 1.000
#> D3en2_30 1 0.000
#> D3en2_31 4 0.000
#> D3en2_32 4 0.000
#> D3en2_33 4 0.000
#> D3en2_34 1 0.000
#> D3en2_35 1 0.000
#> D3en2_36 1 0.000
#> D3en2_37 4 0.000
#> D3en2_38 1 1.000
#> D3en2_39 4 0.000
#> D3en2_40 1 0.000
#> D3en2_41 1 0.000
#> D3en2_42 2 0.000
#> D3en2_43 1 0.000
#> D3en2_44 1 1.000
#> D3en2_45 4 0.000
#> D3en2_46 1 0.000
#> D3en2_47 1 0.000
#> D3en2_48 4 0.249
#> D3en2_49 1 0.000
#> D3en2_50 1 0.000
#> D3en2_51 1 0.000
#> D3en2_52 4 1.000
#> D3en2_53 1 1.000
#> D3en2_54 1 0.000
#> D3en2_55 1 1.000
#> D3en2_56 1 0.000
#> D3en2_57 4 0.000
#> D3en2_58 3 1.000
#> D3en2_59 1 0.000
#> D3en2_60 4 0.000
#> D3en2_61 1 1.000
#> D3en2_62 4 0.000
#> D3en2_63 1 0.000
#> D3en2_64 4 0.000
#> D3en2_65 1 0.000
#> D3en2_66 2 0.000
#> D3en2_67 1 0.000
#> D3en2_68 2 0.000
#> D3en2_69 1 1.000
#> D3en2_70 1 0.751
#> D3en2_71 4 0.000
#> D3en2_72 4 0.751
#> D3en2_73 1 0.000
#> D3en2_74 2 0.000
#> D3en2_75 1 0.000
#> D3en2_76 1 1.000
#> D3en2_77 1 1.000
#> D3en2_78 1 0.502
#> D3en2_79 1 0.000
#> D3en2_80 1 0.000
#> D3en2_81 1 1.000
#> D3en2_82 1 0.000
#> D3en2_83 1 0.000
#> D3en2_84 1 0.000
#> D3en2_85 4 0.000
#> D3en2_86 1 0.000
#> D3en2_87 1 0.000
#> D3en2_88 1 0.000
#> D3en2_89 1 1.000
#> D3en2_90 2 1.000
#> D3en2_91 4 0.000
#> D3en2_92 4 0.000
#> D3en2_93 4 0.000
#> D3en2_94 1 0.000
#> D3en2_95 1 0.000
#> D3en2_96 1 0.000
#> D3en3_1 4 0.000
#> D3en3_2 4 0.000
#> D3en3_3 1 0.000
#> D3en3_4 1 0.000
#> D3en3_5 1 0.249
#> D3en3_6 4 0.000
#> D3en3_7 1 0.751
#> D3en3_8 1 0.502
#> D3en3_9 4 0.000
#> D3en3_10 1 0.249
#> D3en3_11 4 0.000
#> D3en3_12 1 0.000
#> D3en3_13 1 0.000
#> D3en3_14 1 0.000
#> D3en3_15 1 1.000
#> D3en3_16 1 0.000
#> D3en3_17 1 0.000
#> D3en3_18 1 0.000
#> D3en3_19 1 0.000
#> D3en3_20 1 0.000
#> D3en3_21 4 0.000
#> D3en3_22 1 0.000
#> D3en3_23 1 0.000
#> D3en3_24 1 0.502
#> D3en3_25 1 0.000
#> D3en3_26 1 0.000
#> D3en3_27 1 1.000
#> D3en3_28 1 1.000
#> D3en3_29 1 0.000
#> D3en3_30 1 0.000
#> D3en3_31 1 0.000
#> D3en3_32 1 0.751
#> D3en3_33 1 0.000
#> D3en3_34 1 0.000
#> D3en3_35 1 0.000
#> D3en3_36 4 0.000
#> D3en3_37 1 0.000
#> D3en3_38 1 0.000
#> D3en3_39 4 0.000
#> D3en3_40 1 0.000
#> D3en3_41 1 1.000
#> D3en3_42 1 0.000
#> D3en3_43 1 0.000
#> D3en3_44 4 0.000
#> D3en3_45 1 1.000
#> D3en3_46 2 0.000
#> D3en3_47 1 0.000
#> D3en3_48 4 1.000
#> D3en3_49 1 0.000
#> D3en3_50 4 0.000
#> D3en3_51 3 0.000
#> D3en3_52 4 0.000
#> D3en3_53 4 0.000
#> D3en3_54 1 0.000
#> D3en3_55 1 1.000
#> D3en3_56 1 0.000
#> D3en3_57 1 0.000
#> D3en3_58 1 0.000
#> D3en3_59 4 0.000
#> D3en3_60 1 0.000
#> D3en3_61 1 0.000
#> D3en3_62 1 0.000
#> D3en3_63 1 0.000
#> D3en3_64 4 0.000
#> D3en3_65 1 0.000
#> D3en3_66 1 0.000
#> D3en3_67 1 1.000
#> D3en3_68 2 0.000
#> D3en3_69 1 0.000
#> D3en3_70 1 0.000
#> D3en3_71 1 1.000
#> D3en3_72 2 0.000
#> D3en3_73 1 0.000
#> D3en3_74 1 0.000
#> D3en3_75 1 0.000
#> D3en3_76 1 0.000
#> D3en3_77 1 0.000
#> D3en3_78 1 0.000
#> D3en3_79 1 0.000
#> D3en3_80 1 0.000
#> D3en3_81 1 0.000
#> D3en3_82 1 0.000
#> D3en3_83 1 0.000
#> D3en3_84 1 0.000
#> D3en3_85 1 1.000
#> D3en3_86 4 0.000
#> D3en3_87 4 0.000
#> D3en3_88 1 0.000
#> D3en3_89 4 0.000
#> D3en3_90 1 0.000
#> D3en3_91 1 0.000
#> D3en3_92 1 1.000
#> D3en3_93 1 0.000
#> D3en3_94 1 0.000
#> D3en3_95 1 1.000
#> D3en3_96 1 0.000
#> D3en4_1 1 0.000
#> D3en4_2 1 0.000
#> D3en4_3 4 1.000
#> D3en4_4 1 0.249
#> D3en4_5 1 0.000
#> D3en4_6 4 0.000
#> D3en4_7 2 0.000
#> D3en4_8 2 0.000
#> D3en4_9 2 0.000
#> D3en4_10 1 0.000
#> D3en4_11 1 0.000
#> D3en4_12 4 0.249
#> D3en4_13 4 0.751
#> D3en4_14 2 0.000
#> D3en4_15 1 1.000
#> D3en4_16 1 1.000
#> D3en4_17 1 1.000
#> D3en4_18 1 0.000
#> D3en4_19 1 1.000
#> D3en4_20 4 0.000
#> D3en4_21 1 1.000
#> D3en4_22 3 1.000
#> D3en4_23 2 0.000
#> D3en4_24 1 0.253
#> D3en4_25 2 0.000
#> D3en4_26 2 0.000
#> D3en4_27 1 1.000
#> D3en4_28 1 0.751
#> D3en4_29 1 0.000
#> D3en4_30 2 0.000
#> D3en4_31 4 0.000
#> D3en4_32 2 0.751
#> D3en4_33 4 1.000
#> D3en4_34 1 1.000
#> D3en4_35 4 0.000
#> D3en4_36 1 0.000
#> D3en4_37 1 0.000
#> D3en4_38 4 0.000
#> D3en4_39 2 0.000
#> D3en4_40 1 0.751
#> D3en4_41 2 0.000
#> D3en4_42 4 0.751
#> D3en4_43 4 0.000
#> D3en4_44 1 0.751
#> D3en4_45 1 0.000
#> D3en4_46 2 0.000
#> D3en4_47 3 1.000
#> D3en4_48 2 0.000
#> D3en4_49 1 1.000
#> D3en4_50 1 1.000
#> D3en4_51 1 0.751
#> D3en4_52 1 1.000
#> D3en4_53 1 0.000
#> D3en4_54 2 0.000
#> D3en4_55 1 0.000
#> D3en4_56 3 0.000
#> D3en4_57 1 0.000
#> D3en4_58 4 0.000
#> D3en4_59 1 0.000
#> D3en4_60 2 0.000
#> D3en4_61 2 0.000
#> D3en4_62 1 0.000
#> D3en4_63 2 0.000
#> D3en4_64 2 1.000
#> D3en4_65 2 0.000
#> D3en4_66 1 0.000
#> D3en4_67 1 1.000
#> D3en4_68 2 0.000
#> D3en4_69 2 0.000
#> D3en4_70 1 0.000
#> D3en4_71 3 0.000
#> D3en4_72 2 0.000
#> D3en4_73 2 0.000
#> D3en4_74 2 0.000
#> D3en4_75 1 0.000
#> D3en4_76 1 0.000
#> D3en4_77 1 0.000
#> D3en4_78 1 0.000
#> D3en4_79 1 0.000
#> D3en4_80 1 0.000
#> D3en4_81 1 0.000
#> D3en4_82 1 0.000
#> D3en4_83 4 0.000
#> D3en4_84 1 0.000
#> D3en4_85 4 0.000
#> D3en4_86 1 1.000
#> D3en4_87 2 0.000
#> D3en4_88 1 0.751
#> D3en4_89 4 0.000
#> D3en4_90 1 0.000
#> D3en4_91 3 0.000
#> D3en4_92 2 0.000
#> D3en4_93 1 1.000
#> D3en4_94 1 0.000
#> D3en4_95 1 0.249
#> D3en4_96 1 0.000
#> D3ex_1 1 0.000
#> D3ex_2 1 0.249
#> D3ex_3 4 0.000
#> D3ex_4 1 1.000
#> D3ex_5 2 0.502
#> D3ex_6 2 0.000
#> D3ex_7 1 0.000
#> D3ex_8 1 0.000
#> D3ex_9 4 0.000
#> D3ex_10 1 0.000
#> D3ex_11 1 0.000
#> D3ex_12 4 0.000
#> D3ex_13 1 0.000
#> D3ex_14 1 0.000
#> D3ex_15 1 0.000
#> D3ex_16 1 0.000
#> D3ex_17 1 1.000
#> D3ex_18 1 0.000
#> D3ex_19 1 0.000
#> D3ex_20 1 0.000
#> D3ex_21 1 0.000
#> D3ex_22 1 0.000
#> D3ex_23 1 0.000
#> D3ex_24 1 0.000
#> D3ex_25 1 0.000
#> D3ex_26 1 0.000
#> D3ex_27 1 0.000
#> D3ex_28 1 0.000
#> D3ex_29 1 0.000
#> D3ex_30 1 0.000
#> D3ex_31 1 0.000
#> D3ex_32 1 0.000
#> D3ex_33 1 0.000
#> D3ex_34 4 0.000
#> D3ex_35 1 0.000
#> D3ex_36 2 1.000
#> D3ex_37 1 0.000
#> D3ex_38 1 1.000
#> D3ex_39 1 1.000
#> D3ex_40 1 1.000
#> D3ex_41 1 0.000
#> D3ex_42 1 0.000
#> D3ex_43 1 0.000
#> D3ex_44 1 0.000
#> D3ex_45 1 0.000
#> D3ex_46 1 0.000
#> D3ex_47 1 0.253
#> D3ex_48 4 1.000
#> D3ex_49 1 0.000
#> D3ex_50 1 0.000
#> D3ex_51 4 1.000
#> D3ex_52 1 0.000
#> D3ex_53 1 0.000
#> D3ex_54 1 0.000
#> D3ex_55 4 0.000
#> D3ex_56 1 0.000
#> D3ex_57 1 0.000
#> D3ex_58 1 0.000
#> D3ex_59 1 0.502
#> D3ex_60 1 0.000
#> D3ex_61 1 0.000
#> D3ex_62 1 0.000
#> D3ex_63 1 0.000
#> D3ex_64 1 0.000
#> D3ex_65 1 0.000
#> D3ex_66 4 1.000
#> D3ex_67 1 1.000
#> D3ex_68 4 0.000
#> D3ex_69 1 0.751
#> D3ex_70 1 0.000
#> D3ex_71 2 0.000
#> D3ex_72 1 0.000
#> D3ex_73 1 0.000
#> D3ex_74 2 0.000
#> D3ex_75 1 1.000
#> D3ex_76 2 0.000
#> D3ex_77 4 1.000
#> D3ex_78 1 0.000
#> D3ex_79 1 0.751
#> D3ex_80 1 0.000
#> D3ex_81 1 0.000
#> D3ex_82 1 1.000
#> D3ex_83 4 0.000
#> D3ex_84 1 0.000
#> D3ex_85 1 0.000
#> D3ex_86 1 0.000
#> D3ex_87 1 0.000
#> D3ex_88 1 0.000
#> D3ex_89 1 0.000
#> D3ex_90 1 1.000
#> D3ex_91 2 0.000
#> D3ex_92 4 0.000
#> D3ex_93 1 0.000
#> D3ex_94 1 0.000
#> D3ex_95 1 0.000
#> D3ex_96 1 0.000
#> D74_1 3 0.000
#> D74_2 3 0.000
#> D74_3 3 0.000
#> D74_4 1 0.000
#> D74_5 3 0.000
#> D74_6 2 0.000
#> D74_7 2 0.000
#> D74_8 3 0.000
#> D74_9 3 1.000
#> D74_10 3 0.000
#> D74_11 1 1.000
#> D74_12 1 0.000
#> D74_13 2 0.000
#> D74_14 2 0.000
#> D74_15 3 1.000
#> D74_16 3 0.000
#> D74_17 2 0.747
#> D74_18 4 0.000
#> D74_19 1 0.751
#> D74_20 3 0.000
#> D74_21 1 0.000
#> D74_22 2 0.000
#> D74_23 2 0.000
#> D74_24 2 0.000
#> D74_25 3 0.000
#> D74_26 4 0.000
#> D74_27 2 0.000
#> D74_28 4 0.000
#> D74_29 3 0.000
#> D74_30 1 0.000
#> D74_31 4 0.000
#> D74_32 3 0.000
#> D74_33 3 0.000
#> D74_34 4 0.000
#> D74_35 3 0.000
#> D74_36 3 0.000
#> D74_37 4 0.000
#> D74_38 1 0.000
#> D74_39 2 0.000
#> D74_40 3 0.000
#> D74_41 3 0.000
#> D74_42 3 0.000
#> D74_43 2 0.498
#> D74_44 4 0.249
#> D74_45 2 1.000
#> D74_46 2 0.000
#> D74_47 2 0.000
#> D74_48 1 0.000
#> D74_49 3 0.000
#> D74_50 1 0.000
#> D74_51 3 0.000
#> D74_52 3 0.000
#> D74_53 3 0.000
#> D74_54 2 0.000
#> D74_55 3 0.000
#> D74_56 3 0.000
#> D74_57 3 0.000
#> D74_58 2 0.000
#> D74_59 3 1.000
#> D74_60 2 0.000
#> D74_61 3 0.000
#> D74_62 2 0.000
#> D74_63 4 0.000
#> D74_64 3 1.000
#> D74_65 3 0.000
#> D74_66 3 0.000
#> D74_67 3 0.000
#> D74_68 3 0.000
#> D74_69 2 0.000
#> D74_70 3 0.000
#> D74_71 2 0.000
#> D74_72 1 0.000
#> D74_73 4 0.000
#> D74_74 4 0.000
#> D74_75 3 0.249
#> D74_76 2 0.000
#> D74_77 3 0.000
#> D74_78 2 0.000
#> D74_79 2 0.000
#> D74_80 1 0.000
#> D74_81 2 0.000
#> D74_82 3 0.000
#> D74_83 3 0.000
#> D74_84 1 0.000
#> D74_85 3 0.000
#> D74_86 3 0.000
#> D74_87 3 0.000
#> D74_88 3 0.000
#> D74_89 1 0.000
#> D74_90 2 0.000
#> D74_91 2 0.000
#> D74_92 3 0.000
#> D74_93 2 0.000
#> D74_94 2 0.498
#> D74_95 3 0.000
#> D74_96 1 0.000
#> D71_1 4 0.000
#> D71_2 2 0.253
#> D71_3 3 0.000
#> D71_4 3 0.000
#> D71_5 2 0.000
#> D71_6 4 0.000
#> D71_7 4 1.000
#> D71_8 1 1.000
#> D71_9 3 0.000
#> D71_10 2 0.000
#> D71_11 4 0.000
#> D71_12 4 0.000
#> D71_13 1 0.000
#> D71_14 2 0.000
#> D71_15 3 0.000
#> D71_16 4 0.000
#> D71_17 4 1.000
#> D71_18 2 0.498
#> D71_19 3 0.000
#> D71_20 3 0.751
#> D71_21 4 1.000
#> D71_22 2 0.000
#> D71_23 2 0.000
#> D71_24 1 0.000
#> D71_25 1 0.000
#> D71_26 4 1.000
#> D71_27 2 0.000
#> D71_28 4 0.000
#> D71_29 3 0.000
#> D71_30 3 1.000
#> D71_31 2 0.000
#> D71_32 4 1.000
#> D71_33 2 0.000
#> D71_34 2 0.000
#> D71_35 3 1.000
#> D71_36 3 1.000
#> D71_37 3 0.000
#> D71_38 4 1.000
#> D71_39 2 0.000
#> D71_40 3 0.000
#> D71_41 2 0.000
#> D71_42 3 0.000
#> D71_43 3 0.000
#> D71_44 4 0.000
#> D71_45 4 0.000
#> D71_46 1 0.000
#> D71_47 1 0.000
#> D71_48 3 0.000
#> D71_49 3 1.000
#> D71_50 1 0.000
#> D71_51 3 1.000
#> D71_52 4 0.000
#> D71_53 4 0.000
#> D71_54 3 0.000
#> D71_55 3 0.000
#> D71_56 2 0.000
#> D71_57 3 0.751
#> D71_58 2 0.000
#> D71_59 3 1.000
#> D71_60 4 1.000
#> D71_61 3 0.000
#> D71_62 3 0.000
#> D71_63 4 1.000
#> D71_64 2 0.000
#> D71_65 2 0.000
#> D71_66 2 0.000
#> D71_67 2 0.000
#> D71_68 2 0.253
#> D71_69 2 0.000
#> D71_70 2 0.000
#> D71_71 2 0.000
#> D71_72 4 0.000
#> D71_73 4 0.000
#> D71_74 1 0.000
#> D71_75 2 0.498
#> D71_76 3 0.000
#> D71_77 1 0.000
#> D71_78 2 0.000
#> D71_79 3 0.000
#> D71_80 2 0.000
#> D71_81 2 0.000
#> D71_82 3 0.000
#> D71_83 3 1.000
#> D71_84 4 1.000
#> D71_85 2 0.000
#> D71_86 3 0.000
#> D71_87 3 0.000
#> D71_88 1 0.000
#> D71_89 1 0.000
#> D71_90 4 0.751
#> D71_91 3 0.000
#> D71_92 2 0.000
#> D71_93 3 1.000
#> D71_94 3 1.000
#> D71_95 2 0.000
#> D71_96 1 0.000
#> D72_1 4 0.000
#> D72_2 1 0.000
#> D72_3 1 1.000
#> D72_4 4 0.000
#> D72_5 1 0.000
#> D72_6 1 0.000
#> D72_7 1 0.000
#> D72_8 4 1.000
#> D72_9 1 0.000
#> D72_10 1 0.000
#> D72_11 1 0.000
#> D72_12 1 0.000
#> D72_13 4 0.000
#> D72_14 1 1.000
#> D72_15 4 0.000
#> D72_16 1 0.000
#> D72_17 1 0.000
#> D72_18 4 0.000
#> D72_19 1 0.000
#> D72_20 1 0.751
#> D72_21 1 0.000
#> D72_22 4 0.502
#> D72_23 4 0.000
#> D72_24 1 0.000
#> D72_25 4 0.000
#> D72_26 1 0.000
#> D72_27 1 0.249
#> D72_28 1 1.000
#> D72_29 1 0.000
#> D72_30 1 1.000
#> D72_31 4 0.000
#> D72_32 4 0.000
#> D72_33 2 0.000
#> D72_34 4 0.000
#> D72_35 4 1.000
#> D72_36 1 0.000
#> D72_37 2 0.000
#> D72_38 4 1.000
#> D72_39 4 1.000
#> D72_40 4 0.000
#> D72_41 4 1.000
#> D72_42 4 1.000
#> D72_43 2 0.000
#> D72_44 1 0.000
#> D72_45 1 0.000
#> D72_46 1 1.000
#> D72_47 4 1.000
#> D72_48 4 1.000
#> D72_49 4 0.000
#> D72_50 4 0.000
#> D72_51 1 0.000
#> D72_52 4 0.000
#> D72_53 2 0.000
#> D72_54 3 1.000
#> D72_55 4 1.000
#> D72_56 1 0.000
#> D72_57 1 0.000
#> D72_58 1 0.502
#> D72_59 4 1.000
#> D72_60 1 0.000
#> D72_61 4 0.000
#> D72_62 1 1.000
#> D72_63 1 0.747
#> D72_64 4 1.000
#> D72_65 2 0.000
#> D72_66 4 0.000
#> D72_67 3 0.000
#> D72_68 4 0.000
#> D72_69 3 0.000
#> D72_70 1 0.000
#> D72_71 4 1.000
#> D72_72 4 0.000
#> D72_73 1 0.000
#> D72_74 1 0.000
#> D72_75 3 1.000
#> D72_76 2 0.000
#> D72_77 4 1.000
#> D72_78 3 0.498
#> D72_79 4 1.000
#> D72_80 4 0.000
#> D72_81 3 1.000
#> D72_82 4 0.249
#> D72_83 4 1.000
#> D72_84 4 1.000
#> D72_85 4 1.000
#> D72_86 2 0.498
#> D72_87 1 0.000
#> D72_88 3 0.000
#> D72_89 1 0.249
#> D72_90 4 0.000
#> D72_91 3 1.000
#> D72_92 3 1.000
#> D72_93 2 0.000
#> D72_94 1 0.000
#> D72_95 2 0.000
#> D72_96 3 0.000
#> D73_1 3 0.000
#> D73_2 4 0.000
#> D73_3 3 0.000
#> D73_4 3 1.000
#> D73_5 2 0.000
#> D73_6 3 0.000
#> D73_7 1 1.000
#> D73_8 4 0.000
#> D73_9 3 0.000
#> D73_10 3 0.000
#> D73_11 4 0.000
#> D73_12 3 0.751
#> D73_13 4 0.000
#> D73_14 3 0.000
#> D73_15 1 0.249
#> D73_16 4 0.000
#> D73_17 3 1.000
#> D73_18 4 0.000
#> D73_19 2 0.000
#> D73_20 4 1.000
#> D73_21 3 1.000
#> D73_22 3 0.000
#> D73_23 2 0.000
#> D73_24 2 0.000
#> D73_25 2 0.249
#> D73_26 2 0.000
#> D73_27 2 0.000
#> D73_28 3 0.000
#> D73_29 2 0.000
#> D73_30 3 1.000
#> D73_31 3 0.000
#> D73_32 3 0.000
#> D73_33 3 0.000
#> D73_34 2 0.249
#> D73_35 2 0.000
#> D73_36 3 1.000
#> D73_37 2 0.000
#> D73_38 4 1.000
#> D73_39 2 0.000
#> D73_40 4 0.000
#> D73_41 3 0.000
#> D73_42 3 0.751
#> D73_43 2 0.000
#> D73_44 4 1.000
#> D73_45 3 1.000
#> D73_46 2 0.000
#> D73_47 1 0.000
#> D73_48 2 0.000
#> D73_49 4 0.000
#> D73_50 4 0.000
#> D73_51 4 0.249
#> D73_52 2 0.000
#> D73_53 1 0.000
#> D73_54 2 0.000
#> D73_55 3 0.000
#> D73_56 2 0.751
#> D73_57 4 0.000
#> D73_58 3 0.000
#> D73_59 3 0.000
#> D73_60 2 0.000
#> D73_61 3 0.000
#> D73_62 3 0.000
#> D73_63 2 0.000
#> D73_64 2 0.000
#> D73_65 2 0.000
#> D73_66 1 0.000
#> D73_67 3 0.000
#> D73_68 2 0.000
#> D73_69 3 0.000
#> D73_70 2 0.000
#> D73_71 2 0.000
#> D73_72 3 0.000
#> D73_73 2 0.000
#> D73_74 1 0.000
#> D73_75 1 0.000
#> D73_76 3 0.000
#> D73_77 1 0.000
#> D73_78 2 0.000
#> D73_79 3 0.000
#> D73_80 1 0.000
#> D73_81 3 0.000
#> D73_82 3 0.000
#> D73_83 4 0.249
#> D73_84 2 0.000
#> D73_85 3 0.000
#> D73_86 3 0.000
#> D73_87 3 0.000
#> D73_88 1 0.000
#> D73_89 4 0.000
#> D73_90 4 1.000
#> D73_91 3 0.000
#> D73_92 3 0.000
#> D73_93 1 0.000
#> D73_94 1 0.000
#> D73_95 1 0.000
#> D73_96 2 0.000
#> D10631_1 1 0.000
#> D10631_2 4 0.000
#> D10631_3 4 0.000
#> D10631_4 1 0.000
#> D10631_5 1 0.000
#> D10631_6 1 0.000
#> D10631_7 1 0.000
#> D10631_8 1 0.000
#> D10631_9 1 0.000
#> D10631_10 4 0.000
#> D10631_11 1 0.000
#> D10631_12 1 0.000
#> D10631_13 1 0.000
#> D10631_14 1 1.000
#> D10631_15 2 0.000
#> D10631_16 1 0.000
#> D10631_17 2 0.000
#> D10631_18 1 0.000
#> D10631_19 1 0.000
#> D10631_20 1 0.000
#> D10631_21 1 0.249
#> D10631_22 1 0.000
#> D10631_23 1 0.000
#> D10631_24 2 0.000
#> D10631_25 1 0.000
#> D10631_26 4 1.000
#> D10631_27 1 0.498
#> D10631_28 1 0.000
#> D10631_29 2 0.000
#> D10631_30 1 0.000
#> D10631_31 1 0.000
#> D10631_32 1 0.000
#> D10631_33 1 0.751
#> D10631_34 1 0.751
#> D10631_35 1 0.000
#> D10631_36 1 0.000
#> D10631_37 1 0.000
#> D10631_38 4 0.000
#> D10631_39 1 0.000
#> D10631_40 4 0.000
#> D10631_41 1 0.000
#> D10631_42 1 0.000
#> D10631_43 1 0.000
#> D10631_44 1 0.000
#> D10631_45 2 0.000
#> D10631_46 1 1.000
#> D10631_47 1 0.000
#> D10631_48 4 0.000
#> D10631_49 1 0.000
#> D10631_50 4 0.000
#> D10631_51 1 0.000
#> D10631_52 1 0.000
#> D10631_53 2 0.000
#> D10631_54 2 0.000
#> D10631_55 1 0.000
#> D10631_56 2 0.249
#> D10631_57 2 0.000
#> D10631_58 1 0.000
#> D10631_59 1 0.000
#> D10631_60 1 0.000
#> D10631_61 3 0.000
#> D10631_62 1 0.000
#> D10631_63 2 0.000
#> D10631_64 1 0.000
#> D10631_65 2 0.000
#> D10631_66 2 0.000
#> D10631_67 2 0.000
#> D10631_68 2 0.000
#> D10631_69 2 0.000
#> D10631_70 2 0.000
#> D10631_71 1 0.000
#> D10631_72 1 0.000
#> D10631_73 1 0.000
#> D10631_74 1 0.000
#> D10631_75 1 0.000
#> D10631_76 2 0.000
#> D10631_77 1 0.000
#> D10631_78 1 0.000
#> D10631_79 1 0.000
#> D10631_80 1 0.000
#> D10631_81 1 0.000
#> D10631_82 1 0.000
#> D10631_83 1 0.000
#> D10631_84 1 0.000
#> D10631_85 2 0.000
#> D10631_86 1 0.000
#> D10631_87 1 0.000
#> D10631_88 4 0.000
#> D10631_89 1 0.000
#> D10631_90 2 0.000
#> D10631_91 2 0.000
#> D10631_92 4 0.000
#> D10631_93 1 0.000
#> D10631_94 1 0.000
#> D10631_95 2 0.000
#> D10631_96 2 0.000
#> D101_1 1 0.751
#> D101_2 1 0.000
#> D101_3 1 0.000
#> D101_4 1 0.000
#> D101_5 3 1.000
#> D101_6 1 0.000
#> D101_7 2 0.000
#> D101_8 1 0.000
#> D101_9 1 0.000
#> D101_10 3 0.000
#> D101_11 1 0.000
#> D101_12 1 0.000
#> D101_13 3 0.000
#> D101_14 3 0.751
#> D101_15 1 0.000
#> D101_16 1 1.000
#> D101_17 2 0.000
#> D101_18 1 0.000
#> D101_19 1 0.000
#> D101_20 1 0.000
#> D101_21 2 0.751
#> D101_22 3 0.000
#> D101_23 1 0.000
#> D101_24 4 0.000
#> D101_25 3 0.000
#> D101_26 1 0.000
#> D101_27 2 0.000
#> D101_28 4 1.000
#> D101_29 2 0.000
#> D101_30 1 0.000
#> D101_31 3 0.000
#> D101_32 1 0.000
#> D101_33 1 0.000
#> D101_34 1 0.502
#> D101_35 3 0.000
#> D101_36 1 1.000
#> D101_37 2 0.000
#> D101_38 1 0.000
#> D101_39 1 0.000
#> D101_40 1 0.000
#> D101_41 1 0.000
#> D101_42 1 0.000
#> D101_43 3 0.000
#> D101_44 1 0.000
#> D101_45 1 0.000
#> D101_46 1 0.000
#> D101_47 1 0.000
#> D101_48 2 0.000
#> D101_49 1 0.000
#> D101_50 2 0.000
#> D101_51 2 0.000
#> D101_52 2 0.000
#> D101_53 2 0.000
#> D101_54 1 0.000
#> D101_55 1 0.000
#> D101_56 1 1.000
#> D101_57 1 0.000
#> D101_58 1 0.000
#> D101_59 1 1.000
#> D101_60 1 0.000
#> D101_61 1 0.000
#> D101_62 1 0.000
#> D101_63 1 0.000
#> D101_64 1 0.000
#> D101_65 1 0.000
#> D101_66 2 0.000
#> D101_67 1 0.000
#> D101_68 1 0.000
#> D101_69 2 0.000
#> D101_70 1 0.000
#> D101_71 1 0.000
#> D101_72 2 0.000
#> D101_73 4 1.000
#> D101_74 2 0.000
#> D101_75 1 0.000
#> D101_76 1 0.000
#> D101_77 1 0.000
#> D101_78 1 0.000
#> D101_79 1 0.000
#> D101_80 1 0.000
#> D101_81 3 0.000
#> D101_82 2 0.000
#> D101_83 1 0.000
#> D101_84 3 0.000
#> D101_85 1 0.000
#> D101_86 1 0.000
#> D101_87 1 0.000
#> D101_88 1 0.000
#> D101_89 3 1.000
#> D101_90 1 0.000
#> D101_91 1 0.498
#> D101_92 1 0.000
#> D101_93 3 0.751
#> D101_94 1 0.000
#> D101_95 3 0.000
#> D101_96 1 0.000
#> D102_1 2 0.000
#> D102_2 1 0.000
#> D102_3 4 0.000
#> D102_4 3 0.000
#> D102_5 1 0.000
#> D102_6 1 0.000
#> D102_7 3 0.000
#> D102_8 1 0.000
#> D102_9 1 0.000
#> D102_10 1 0.000
#> D102_11 3 0.000
#> D102_12 1 0.000
#> D102_13 1 0.000
#> D102_14 1 0.000
#> D102_15 1 0.000
#> D102_16 1 0.000
#> D102_17 3 0.000
#> D102_18 3 0.000
#> D102_19 1 0.000
#> D102_20 1 0.000
#> D102_21 2 0.000
#> D102_22 1 0.000
#> D102_23 1 0.000
#> D102_24 3 1.000
#> D102_25 3 0.000
#> D102_26 4 1.000
#> D102_27 1 0.000
#> D102_28 1 0.000
#> D102_29 1 0.000
#> D102_30 1 0.000
#> D102_31 1 0.000
#> D102_32 1 0.000
#> D102_33 1 0.000
#> D102_34 1 0.000
#> D102_35 1 0.000
#> D102_36 1 0.000
#> D102_37 1 0.000
#> D102_38 1 0.000
#> D102_39 3 0.000
#> D102_40 1 0.000
#> D102_41 1 0.000
#> D102_42 1 0.000
#> D102_43 1 0.000
#> D102_44 1 0.000
#> D102_45 3 0.000
#> D102_46 1 0.000
#> D102_47 1 0.000
#> D102_48 1 0.000
#> D102_49 1 0.000
#> D102_50 3 1.000
#> D102_51 2 0.000
#> D102_52 1 0.000
#> D102_53 1 0.000
#> D102_54 2 0.000
#> D102_55 3 0.000
#> D102_56 1 0.000
#> D102_57 1 0.000
#> D102_58 3 0.000
#> D102_59 3 0.000
#> D102_60 1 0.000
#> D102_61 3 0.000
#> D102_62 1 0.000
#> D102_63 3 0.000
#> D102_64 2 0.000
#> D102_65 1 0.000
#> D102_66 3 0.000
#> D102_67 1 0.000
#> D102_68 2 1.000
#> D102_69 2 0.000
#> D102_70 1 0.000
#> D102_71 2 0.000
#> D102_72 1 0.000
#> D102_73 2 0.000
#> D102_74 1 0.000
#> D102_75 1 0.000
#> D102_76 2 0.000
#> D102_77 1 0.000
#> D102_78 4 0.000
#> D102_79 2 0.000
#> D102_80 1 0.000
#> D102_81 1 0.000
#> D102_82 1 0.000
#> D102_83 1 0.000
#> D102_84 1 0.000
#> D102_85 1 0.000
#> D102_86 1 0.000
#> D102_87 2 0.000
#> D102_88 1 0.000
#> D102_89 1 0.000
#> D102_90 1 0.000
#> D102_91 4 0.000
#> D102_92 1 0.000
#> D102_93 3 0.000
#> D102_94 4 1.000
#> D102_95 1 0.000
#> D102_96 3 0.000
#> D1713_1 2 0.000
#> D1713_2 2 0.000
#> D1713_3 2 0.000
#> D1713_4 2 0.000
#> D1713_5 4 0.000
#> D1713_6 1 1.000
#> D1713_7 1 1.000
#> D1713_8 2 0.000
#> D1713_9 3 0.000
#> D1713_10 2 0.000
#> D1713_11 3 1.000
#> D1713_12 2 0.000
#> D1713_13 2 0.000
#> D1713_14 2 0.000
#> D1713_15 2 0.000
#> D1713_16 2 0.000
#> D1713_17 2 0.000
#> D1713_18 4 0.000
#> D1713_19 3 0.249
#> D1713_20 2 0.000
#> D1713_21 3 0.000
#> D1713_22 2 0.000
#> D1713_23 2 0.000
#> D1713_24 1 0.000
#> D1713_25 2 0.000
#> D1713_26 3 0.000
#> D1713_27 2 0.000
#> D1713_28 2 0.751
#> D1713_29 2 0.000
#> D1713_30 2 0.000
#> D1713_31 2 0.000
#> D1713_32 2 0.000
#> D1713_33 2 0.000
#> D1713_34 2 0.000
#> D1713_35 4 0.000
#> D1713_36 1 1.000
#> D1713_37 4 0.000
#> D1713_38 2 0.000
#> D1713_39 1 1.000
#> D1713_40 2 0.000
#> D1713_41 2 0.000
#> D1713_42 2 0.000
#> D1713_43 2 0.000
#> D1713_44 1 0.000
#> D1713_45 1 0.000
#> D1713_46 2 0.000
#> D1713_47 2 0.000
#> D1713_48 2 0.000
#> D1713_49 2 0.000
#> D1713_50 2 0.000
#> D1713_51 2 0.000
#> D1713_52 2 0.000
#> D1713_53 2 0.000
#> D1713_54 2 0.000
#> D1713_55 2 0.000
#> D1713_56 2 0.000
#> D1713_57 2 0.000
#> D1713_58 2 0.000
#> D1713_59 2 0.000
#> D1713_60 1 0.498
#> D1713_61 2 0.000
#> D1713_62 2 0.000
#> D1713_63 2 0.000
#> D1713_64 2 0.000
#> D1713_65 2 0.000
#> D1713_66 2 0.000
#> D1713_67 2 0.000
#> D1713_68 2 0.000
#> D1713_69 2 0.000
#> D1713_70 2 0.000
#> D1713_71 2 0.000
#> D1713_72 2 0.000
#> D1713_73 2 0.000
#> D1713_74 2 0.000
#> D1713_75 2 0.000
#> D1713_76 2 0.000
#> D1713_77 2 0.000
#> D1713_78 4 1.000
#> D1713_79 2 0.000
#> D1713_80 2 0.498
#> D1713_81 2 0.000
#> D1713_82 2 0.000
#> D1713_83 2 0.000
#> D1713_84 4 1.000
#> D1713_85 2 0.000
#> D1713_86 2 0.000
#> D1713_87 2 0.000
#> D1713_88 2 0.000
#> D1713_89 2 0.000
#> D1713_90 3 1.000
#> D1713_91 2 0.000
#> D1713_92 2 0.000
#> D1713_93 4 0.000
#> D1713_94 2 0.000
#> D1713_95 3 0.000
#> D1713_96 1 1.000
#> D172444_1 3 0.000
#> D172444_2 1 0.000
#> D172444_3 1 0.000
#> D172444_4 1 1.000
#> D172444_5 1 0.000
#> D172444_6 1 0.000
#> D172444_7 1 0.000
#> D172444_8 3 0.000
#> D172444_9 3 0.000
#> D172444_10 3 1.000
#> D172444_11 3 1.000
#> D172444_12 4 1.000
#> D172444_13 3 0.000
#> D172444_14 3 1.000
#> D172444_15 4 0.000
#> D172444_16 4 0.000
#> D172444_17 1 1.000
#> D172444_18 3 1.000
#> D172444_19 2 0.000
#> D172444_20 1 0.000
#> D172444_21 3 0.000
#> D172444_22 3 1.000
#> D172444_23 4 1.000
#> D172444_24 1 0.000
#> D172444_25 4 1.000
#> D172444_26 3 1.000
#> D172444_27 1 0.747
#> D172444_28 4 1.000
#> D172444_29 3 0.000
#> D172444_30 4 1.000
#> D172444_31 3 1.000
#> D172444_32 3 0.000
#> D172444_33 3 1.000
#> D172444_34 1 0.249
#> D172444_35 3 1.000
#> D172444_36 3 0.000
#> D172444_37 3 0.000
#> D172444_38 3 0.000
#> D172444_39 4 0.751
#> D172444_40 1 0.000
#> D172444_41 3 1.000
#> D172444_42 3 0.000
#> D172444_43 3 0.000
#> D172444_44 1 0.000
#> D172444_45 1 0.000
#> D172444_46 3 1.000
#> D172444_47 3 1.000
#> D172444_48 3 0.000
#> D172444_49 3 0.000
#> D172444_50 1 0.253
#> D172444_51 3 1.000
#> D172444_52 3 1.000
#> D172444_53 3 1.000
#> D172444_54 3 0.000
#> D172444_55 3 1.000
#> D172444_56 3 0.000
#> D172444_57 3 1.000
#> D172444_58 3 1.000
#> D172444_59 4 0.249
#> D172444_60 3 0.000
#> D172444_61 1 1.000
#> D172444_62 3 1.000
#> D172444_63 4 1.000
#> D172444_64 3 1.000
#> D172444_65 3 0.000
#> D172444_66 3 0.249
#> D172444_67 3 0.000
#> D172444_68 3 1.000
#> D172444_69 4 1.000
#> D172444_70 4 1.000
#> D172444_71 3 0.000
#> D172444_72 3 0.000
#> D172444_73 3 0.000
#> D172444_74 4 1.000
#> D172444_75 3 1.000
#> D172444_76 3 0.000
#> D172444_77 3 0.000
#> D172444_78 3 0.000
#> D172444_79 3 0.000
#> D172444_80 3 1.000
#> D172444_81 3 0.000
#> D172444_82 1 0.000
#> D172444_83 3 1.000
#> D172444_84 4 0.751
#> D172444_85 3 0.000
#> D172444_86 3 0.000
#> D172444_87 3 0.000
#> D172444_88 3 1.000
#> D172444_89 4 0.502
#> D172444_90 4 1.000
#> D172444_91 3 0.000
#> D172444_92 4 1.000
#> D172444_93 3 0.000
#> D172444_94 1 0.000
#> D172444_95 1 0.000
#> D172444_96 1 0.000
#> D17All1_1 3 0.000
#> D17All1_2 3 0.000
#> D17All1_3 3 0.000
#> D17All1_4 3 1.000
#> D17All1_5 3 0.000
#> D17All1_6 3 0.000
#> D17All1_7 3 0.000
#> D17All1_8 3 0.000
#> D17All1_9 2 0.000
#> D17All1_10 3 0.000
#> D17All1_11 2 0.000
#> D17All1_12 3 0.000
#> D17All1_13 1 0.000
#> D17All1_14 1 0.000
#> D17All1_15 1 0.000
#> D17All1_16 2 0.000
#> D17All1_17 1 0.000
#> D17All1_18 3 0.000
#> D17All1_19 3 0.000
#> D17All1_20 2 0.000
#> D17All1_21 1 0.000
#> D17All1_22 3 0.249
#> D17All1_23 3 0.000
#> D17All1_24 2 0.000
#> D17All1_25 2 0.000
#> D17All1_26 2 0.000
#> D17All1_27 3 1.000
#> D17All1_28 3 1.000
#> D17All1_29 2 0.498
#> D17All1_30 3 0.000
#> D17All1_31 2 0.000
#> D17All1_32 2 0.000
#> D17All1_33 3 0.000
#> D17All1_34 1 0.000
#> D17All1_35 3 0.000
#> D17All1_36 2 0.000
#> D17All1_37 3 0.000
#> D17All1_38 4 1.000
#> D17All1_39 3 0.000
#> D17All1_40 3 0.000
#> D17All1_41 2 0.000
#> D17All1_42 3 0.000
#> D17All1_43 3 0.000
#> D17All1_44 2 0.000
#> D17All1_45 2 0.000
#> D17All1_46 3 0.000
#> D17All1_47 2 0.000
#> D17All1_48 2 0.000
#> D17All1_49 3 0.000
#> D17All1_50 2 0.000
#> D17All1_51 3 0.000
#> D17All1_52 2 0.000
#> D17All1_53 4 0.000
#> D17All1_54 3 1.000
#> D17All1_55 3 0.000
#> D17All1_56 2 0.000
#> D17All1_57 3 0.000
#> D17All1_58 2 1.000
#> D17All1_59 3 0.000
#> D17All1_60 3 0.000
#> D17All1_61 3 0.000
#> D17All1_62 3 0.000
#> D17All1_63 3 0.000
#> D17All1_64 3 0.000
#> D17All1_65 2 0.000
#> D17All1_66 3 1.000
#> D17All1_67 4 0.000
#> D17All1_68 2 0.000
#> D17All1_69 2 0.000
#> D17All1_70 3 0.000
#> D17All1_71 3 0.000
#> D17All1_72 3 1.000
#> D17All1_73 3 1.000
#> D17All1_74 3 0.000
#> D17All1_75 3 1.000
#> D17All1_76 2 0.000
#> D17All1_77 3 0.000
#> D17All1_78 2 0.000
#> D17All1_79 2 0.000
#> D17All1_80 3 0.000
#> D17All1_81 3 0.000
#> D17All1_82 3 1.000
#> D17All1_83 3 1.000
#> D17All1_84 2 0.000
#> D17All1_85 1 0.000
#> D17All1_86 2 0.000
#> D17All1_87 3 1.000
#> D17All1_88 3 0.000
#> D17All1_89 3 0.000
#> D17All1_90 3 0.000
#> D17All1_91 3 1.000
#> D17All1_92 2 0.000
#> D17All1_93 3 1.000
#> D17All1_94 1 0.000
#> D17All1_95 3 0.000
#> D17All1_96 2 0.000
#> D17All2_1 3 0.000
#> D17All2_2 3 0.000
#> D17All2_3 2 0.000
#> D17All2_4 2 1.000
#> D17All2_5 1 0.000
#> D17All2_6 3 0.000
#> D17All2_7 3 0.000
#> D17All2_8 2 0.000
#> D17All2_9 3 0.000
#> D17All2_10 4 1.000
#> D17All2_11 3 0.000
#> D17All2_12 4 1.000
#> D17All2_13 3 0.000
#> D17All2_14 3 1.000
#> D17All2_15 3 0.000
#> D17All2_16 3 0.000
#> D17All2_17 3 0.000
#> D17All2_18 2 0.000
#> D17All2_19 3 1.000
#> D17All2_20 3 0.249
#> D17All2_21 3 1.000
#> D17All2_22 3 0.000
#> D17All2_23 2 0.000
#> D17All2_24 3 0.000
#> D17All2_25 4 0.249
#> D17All2_26 3 0.000
#> D17All2_27 3 0.000
#> D17All2_28 3 0.498
#> D17All2_29 2 0.000
#> D17All2_30 3 0.000
#> D17All2_31 4 1.000
#> D17All2_32 3 1.000
#> D17All2_33 1 0.751
#> D17All2_34 3 0.000
#> D17All2_35 4 0.751
#> D17All2_36 3 0.000
#> D17All2_37 3 0.000
#> D17All2_38 3 0.000
#> D17All2_39 3 0.000
#> D17All2_40 3 0.000
#> D17All2_41 3 0.000
#> D17All2_42 1 0.498
#> D17All2_43 3 0.000
#> D17All2_44 3 1.000
#> D17All2_45 3 1.000
#> D17All2_46 3 0.000
#> D17All2_47 3 0.000
#> D17All2_48 2 0.000
#> D17All2_49 3 0.000
#> D17All2_50 1 0.000
#> D17All2_51 1 1.000
#> D17All2_52 3 0.000
#> D17All2_53 2 0.000
#> D17All2_54 2 0.000
#> D17All2_55 3 0.000
#> D17All2_56 3 0.747
#> D17All2_57 3 0.000
#> D17All2_58 2 0.000
#> D17All2_59 2 0.000
#> D17All2_60 1 0.000
#> D17All2_61 3 0.000
#> D17All2_62 3 0.000
#> D17All2_63 3 0.000
#> D17All2_64 3 0.000
#> D17All2_65 3 0.000
#> D17All2_66 4 1.000
#> D17All2_67 4 0.000
#> D17All2_68 3 0.000
#> D17All2_69 3 0.000
#> D17All2_70 2 0.000
#> D17All2_71 2 0.000
#> D17All2_72 2 0.000
#> D17All2_73 4 1.000
#> D17All2_74 3 0.000
#> D17All2_75 1 0.000
#> D17All2_76 2 0.000
#> D17All2_77 2 0.000
#> D17All2_78 3 0.000
#> D17All2_79 2 0.000
#> D17All2_80 2 1.000
#> D17All2_81 2 0.000
#> D17All2_82 1 1.000
#> D17All2_83 2 0.000
#> D17All2_84 3 0.000
#> D17All2_85 3 0.000
#> D17All2_86 2 0.000
#> D17All2_87 3 0.000
#> D17All2_88 3 0.000
#> D17All2_89 1 0.000
#> D17All2_90 3 0.000
#> D17All2_91 2 0.000
#> D17All2_92 3 0.000
#> D17All2_93 2 0.000
#> D17All2_94 3 0.000
#> D17All2_95 3 1.000
#> D17All2_96 1 0.000
#> D17TGFB_1 3 0.000
#> D17TGFB_2 3 1.000
#> D17TGFB_3 2 0.000
#> D17TGFB_4 2 0.000
#> D17TGFB_5 2 0.000
#> D17TGFB_6 2 0.000
#> D17TGFB_7 4 0.000
#> D17TGFB_8 2 0.000
#> D17TGFB_9 2 0.000
#> D17TGFB_10 2 0.000
#> D17TGFB_11 3 0.000
#> D17TGFB_12 2 0.000
#> D17TGFB_13 3 0.000
#> D17TGFB_14 2 0.000
#> D17TGFB_15 4 1.000
#> D17TGFB_16 4 1.000
#> D17TGFB_17 2 0.000
#> D17TGFB_18 1 0.000
#> D17TGFB_19 2 0.000
#> D17TGFB_20 3 0.000
#> D17TGFB_21 2 0.000
#> D17TGFB_22 2 0.000
#> D17TGFB_23 2 0.000
#> D17TGFB_24 2 0.000
#> D17TGFB_25 4 0.751
#> D17TGFB_26 4 0.000
#> D17TGFB_27 4 0.751
#> D17TGFB_28 4 0.000
#> D17TGFB_29 2 0.747
#> D17TGFB_30 1 0.000
#> D17TGFB_31 2 0.000
#> D17TGFB_32 4 0.000
#> D17TGFB_33 4 0.000
#> D17TGFB_34 2 1.000
#> D17TGFB_35 3 0.000
#> D17TGFB_36 2 0.000
#> D17TGFB_37 2 0.000
#> D17TGFB_38 2 0.000
#> D17TGFB_39 2 0.000
#> D17TGFB_40 4 1.000
#> D17TGFB_41 4 0.751
#> D17TGFB_42 4 1.000
#> D17TGFB_43 2 0.000
#> D17TGFB_44 4 0.000
#> D17TGFB_45 4 0.000
#> D17TGFB_46 1 0.000
#> D17TGFB_47 2 0.000
#> D17TGFB_48 3 0.000
#> D17TGFB_49 4 0.000
#> D17TGFB_50 1 0.000
#> D17TGFB_51 2 0.000
#> D17TGFB_52 3 0.000
#> D17TGFB_53 3 0.000
#> D17TGFB_54 2 0.000
#> D17TGFB_55 2 0.000
#> D17TGFB_56 2 0.000
#> D17TGFB_57 2 0.000
#> D17TGFB_58 2 0.000
#> D17TGFB_59 2 0.000
#> D17TGFB_60 1 0.000
#> D17TGFB_61 2 0.000
#> D17TGFB_62 1 0.000
#> D17TGFB_63 3 0.000
#> D17TGFB_64 2 0.000
#> D17TGFB_65 3 0.000
#> D17TGFB_66 2 0.000
#> D17TGFB_67 2 0.000
#> D17TGFB_68 2 1.000
#> D17TGFB_69 3 0.000
#> D17TGFB_70 3 0.000
#> D17TGFB_71 2 0.000
#> D17TGFB_72 2 0.000
#> D17TGFB_73 3 0.000
#> D17TGFB_74 2 0.000
#> D17TGFB_75 3 0.000
#> D17TGFB_76 2 0.000
#> D17TGFB_77 2 0.000
#> D17TGFB_78 3 0.000
#> D17TGFB_79 2 0.000
#> D17TGFB_80 2 0.000
#> D17TGFB_81 2 0.000
#> D17TGFB_82 3 0.000
#> D17TGFB_83 2 0.000
#> D17TGFB_84 4 0.000
#> D17TGFB_85 2 0.000
#> D17TGFB_86 2 0.000
#> D17TGFB_87 2 0.000
#> D17TGFB_88 2 0.000
#> D17TGFB_89 2 0.000
#> D17TGFB_90 3 0.000
#> D17TGFB_91 3 0.000
#> D17TGFB_92 2 0.000
#> D17TGFB_93 2 0.000
#> D17TGFB_94 3 0.000
#> D17TGFB_95 3 0.000
#> D17TGFB_96 1 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 1040 5.28e-69 2
#> ATC:skmeans 1432 3.80e-128 3
#> ATC:skmeans 1371 1.21e-121 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node0. Child nodes: Node011 , Node012 , Node013 , Node021 , Node022 , Node023 .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["01"]
A summary of res and all the functions that can be applied to it:
res
#> A 'DownSamplingConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 9689 rows and 500 columns, randomly sampled from 858 columns.
#> Top rows (875) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'DownSamplingConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.987 0.995 0.484 0.517 0.517
#> 3 3 0.996 0.965 0.983 0.216 0.874 0.761
#> 4 4 0.887 0.918 0.939 0.110 0.920 0.810
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
get_classes(res, k = 2)
#> class p
#> D2ex_13 2 0.000
#> D2ex_14 2 0.000
#> D2ex_23 2 0.249
#> D2ex_31 2 0.000
#> D2ex_32 2 0.000
#> D2ex_38 2 0.253
#> D2ex_39 2 0.502
#> D2ex_42 2 0.000
#> D2ex_45 1 0.000
#> D2ex_48 1 1.000
#> D2ex_49 2 0.249
#> D2ex_50 2 0.000
#> D2ex_54 1 0.000
#> D2ex_60 2 0.000
#> D2ex_63 1 0.000
#> D2ex_64 1 0.000
#> D2ex_65 1 0.000
#> D2ex_77 2 0.751
#> D2ex_80 1 0.000
#> D2ex_81 1 1.000
#> D2ex_89 2 0.000
#> D2ex_91 2 0.498
#> D2ex_93 1 0.000
#> D2ex_94 1 0.000
#> D2ex_95 1 0.000
#> D2ex_96 1 0.000
#> D3en1_1 2 0.000
#> D3en1_2 2 0.000
#> D3en1_3 2 0.000
#> D3en1_4 2 0.000
#> D3en1_6 2 0.000
#> D3en1_7 1 1.000
#> D3en1_8 1 1.000
#> D3en1_9 1 0.751
#> D3en1_12 1 1.000
#> D3en1_14 1 0.000
#> D3en1_15 1 0.000
#> D3en1_16 1 1.000
#> D3en1_17 2 0.000
#> D3en1_18 1 0.000
#> D3en1_19 1 0.000
#> D3en1_20 1 0.000
#> D3en1_21 1 1.000
#> D3en1_22 1 1.000
#> D3en1_23 1 0.498
#> D3en1_24 1 1.000
#> D3en1_25 1 1.000
#> D3en1_27 2 0.000
#> D3en1_28 2 0.000
#> D3en1_29 2 0.249
#> D3en1_31 1 0.000
#> D3en1_32 1 0.249
#> D3en1_33 2 0.000
#> D3en1_34 1 0.000
#> D3en1_35 1 0.498
#> D3en1_36 1 1.000
#> D3en1_38 2 0.000
#> D3en1_39 1 1.000
#> D3en1_40 1 0.000
#> D3en1_42 1 0.000
#> D3en1_43 1 1.000
#> D3en1_44 1 1.000
#> D3en1_46 1 0.000
#> D3en1_47 1 1.000
#> D3en1_50 2 0.000
#> D3en1_51 1 0.751
#> D3en1_52 1 0.000
#> D3en1_53 1 1.000
#> D3en1_54 2 0.000
#> D3en1_55 2 0.000
#> D3en1_57 1 0.000
#> D3en1_58 1 0.000
#> D3en1_59 1 1.000
#> D3en1_61 1 0.747
#> D3en1_62 1 0.502
#> D3en1_64 1 1.000
#> D3en1_65 2 0.000
#> D3en1_66 1 1.000
#> D3en1_67 2 0.000
#> D3en1_70 1 0.000
#> D3en1_72 1 0.000
#> D3en1_74 1 0.000
#> D3en1_76 1 0.502
#> D3en1_77 1 0.000
#> D3en1_78 1 0.000
#> D3en1_79 2 0.253
#> D3en1_80 1 0.000
#> D3en1_81 1 0.000
#> D3en1_82 1 0.000
#> D3en1_83 2 0.000
#> D3en1_84 2 0.000
#> D3en1_85 2 0.000
#> D3en1_86 1 0.000
#> D3en1_89 2 0.000
#> D3en1_90 2 0.751
#> D3en1_91 1 0.751
#> D3en1_92 1 0.000
#> D3en1_93 2 0.502
#> D3en1_94 2 0.000
#> D3en1_95 1 1.000
#> D3en1_96 1 0.000
#> D3en2_1 1 1.000
#> D3en2_2 2 0.000
#> D3en2_3 2 0.000
#> D3en2_4 1 0.498
#> D3en2_7 2 0.000
#> D3en2_8 1 0.000
#> D3en2_9 1 1.000
#> D3en2_10 1 0.000
#> D3en2_11 1 1.000
#> D3en2_12 2 0.000
#> D3en2_13 1 1.000
#> D3en2_14 1 0.000
#> D3en2_15 1 0.000
#> D3en2_17 2 0.249
#> D3en2_18 1 0.000
#> D3en2_19 1 0.000
#> D3en2_20 1 0.000
#> D3en2_22 2 0.000
#> D3en2_24 2 0.751
#> D3en2_28 1 0.000
#> D3en2_29 1 1.000
#> D3en2_30 2 0.502
#> D3en2_34 1 1.000
#> D3en2_35 1 0.000
#> D3en2_36 1 0.000
#> D3en2_38 2 0.000
#> D3en2_40 1 0.000
#> D3en2_41 1 0.000
#> D3en2_43 1 0.751
#> D3en2_44 1 1.000
#> D3en2_46 1 0.000
#> D3en2_47 1 0.000
#> D3en2_49 1 0.000
#> D3en2_50 1 0.000
#> D3en2_51 1 0.000
#> D3en2_52 2 0.000
#> D3en2_53 1 1.000
#> D3en2_54 1 0.000
#> D3en2_55 2 0.000
#> D3en2_56 2 0.000
#> D3en2_57 2 0.000
#> D3en2_58 2 0.000
#> D3en2_59 1 0.249
#> D3en2_61 2 0.000
#> D3en2_62 2 0.253
#> D3en2_63 1 0.498
#> D3en2_64 2 0.000
#> D3en2_65 1 0.000
#> D3en2_67 1 0.000
#> D3en2_69 2 1.000
#> D3en2_70 1 1.000
#> D3en2_73 1 0.000
#> D3en2_75 1 0.000
#> D3en2_76 1 1.000
#> D3en2_77 1 1.000
#> D3en2_78 1 1.000
#> D3en2_79 1 0.249
#> D3en2_80 1 0.000
#> D3en2_81 1 1.000
#> D3en2_82 1 1.000
#> D3en2_83 1 1.000
#> D3en2_84 1 0.000
#> D3en2_85 2 0.000
#> D3en2_86 1 0.000
#> D3en2_87 1 0.000
#> D3en2_88 1 0.751
#> D3en2_89 1 1.000
#> D3en2_91 2 0.000
#> D3en2_92 2 0.000
#> D3en2_93 2 0.000
#> D3en2_94 1 1.000
#> D3en2_95 1 0.000
#> D3en2_96 1 0.000
#> D3en3_1 2 0.000
#> D3en3_3 1 0.000
#> D3en3_4 1 0.000
#> D3en3_5 2 0.000
#> D3en3_6 2 0.000
#> D3en3_7 2 0.000
#> D3en3_8 1 1.000
#> D3en3_10 2 0.502
#> D3en3_11 2 0.249
#> D3en3_12 1 0.000
#> D3en3_13 1 0.000
#> D3en3_14 1 1.000
#> D3en3_15 1 1.000
#> D3en3_16 2 0.000
#> D3en3_17 1 1.000
#> D3en3_18 1 0.000
#> D3en3_19 1 0.000
#> D3en3_20 1 0.000
#> D3en3_21 2 0.000
#> D3en3_22 1 0.000
#> D3en3_23 1 1.000
#> D3en3_24 1 1.000
#> D3en3_25 1 0.000
#> D3en3_26 1 0.000
#> D3en3_27 1 1.000
#> D3en3_28 2 0.249
#> D3en3_29 2 0.000
#> D3en3_30 1 1.000
#> D3en3_31 1 1.000
#> D3en3_32 2 0.751
#> D3en3_33 1 0.000
#> D3en3_34 1 1.000
#> D3en3_35 1 0.000
#> D3en3_36 2 0.000
#> D3en3_37 1 0.000
#> D3en3_38 1 0.249
#> D3en3_40 1 0.000
#> D3en3_41 1 1.000
#> D3en3_42 1 0.000
#> D3en3_43 1 0.000
#> D3en3_44 2 0.000
#> D3en3_45 2 0.000
#> D3en3_47 1 0.000
#> D3en3_48 2 0.000
#> D3en3_49 1 1.000
#> D3en3_50 2 0.000
#> D3en3_52 2 0.000
#> D3en3_53 2 0.000
#> D3en3_54 2 0.000
#> D3en3_55 2 0.000
#> D3en3_56 1 0.000
#> D3en3_57 1 0.498
#> D3en3_58 1 0.751
#> D3en3_59 2 0.000
#> D3en3_60 1 0.000
#> D3en3_61 1 0.751
#> D3en3_62 1 0.747
#> D3en3_63 1 0.000
#> D3en3_65 2 0.000
#> D3en3_66 1 0.000
#> D3en3_67 1 1.000
#> D3en3_69 1 0.000
#> D3en3_70 1 0.000
#> D3en3_71 1 1.000
#> D3en3_73 1 0.253
#> D3en3_74 1 1.000
#> D3en3_75 2 0.000
#> D3en3_76 1 0.000
#> D3en3_77 1 0.000
#> D3en3_78 1 0.000
#> D3en3_79 1 0.000
#> D3en3_80 1 0.000
#> D3en3_81 1 0.000
#> D3en3_82 1 0.000
#> D3en3_83 1 0.000
#> D3en3_84 1 0.000
#> D3en3_85 2 0.000
#> D3en3_86 2 0.000
#> D3en3_88 1 0.000
#> D3en3_89 2 0.000
#> D3en3_90 1 0.747
#> D3en3_91 1 0.751
#> D3en3_92 2 0.000
#> D3en3_93 1 0.000
#> D3en3_94 1 1.000
#> D3en3_95 1 1.000
#> D3en3_96 1 1.000
#> D3en4_1 1 0.000
#> D3en4_2 1 0.502
#> D3en4_3 2 0.000
#> D3en4_4 2 0.498
#> D3en4_5 1 0.000
#> D3en4_10 1 0.000
#> D3en4_11 1 0.000
#> D3en4_13 2 0.000
#> D3en4_15 1 1.000
#> D3en4_16 2 0.000
#> D3en4_17 2 0.249
#> D3en4_18 1 1.000
#> D3en4_19 2 0.000
#> D3en4_21 2 0.000
#> D3en4_22 2 0.249
#> D3en4_24 1 1.000
#> D3en4_27 2 0.000
#> D3en4_28 1 1.000
#> D3en4_29 1 0.000
#> D3en4_33 2 0.000
#> D3en4_34 2 0.000
#> D3en4_36 1 0.000
#> D3en4_37 1 0.502
#> D3en4_38 2 0.000
#> D3en4_40 2 0.000
#> D3en4_43 2 0.000
#> D3en4_44 1 1.000
#> D3en4_45 1 0.000
#> D3en4_49 2 0.000
#> D3en4_50 2 0.000
#> D3en4_51 1 1.000
#> D3en4_52 2 0.000
#> D3en4_53 1 0.751
#> D3en4_55 1 0.000
#> D3en4_57 1 0.249
#> D3en4_58 2 0.000
#> D3en4_59 1 0.000
#> D3en4_62 1 0.000
#> D3en4_66 1 1.000
#> D3en4_67 1 1.000
#> D3en4_70 1 0.000
#> D3en4_75 1 0.000
#> D3en4_76 1 0.000
#> D3en4_77 1 0.000
#> D3en4_78 1 0.000
#> D3en4_79 1 0.000
#> D3en4_80 1 0.249
#> D3en4_81 1 0.000
#> D3en4_82 1 0.000
#> D3en4_84 1 0.751
#> D3en4_85 2 0.000
#> D3en4_86 2 0.000
#> D3en4_88 2 1.000
#> D3en4_89 2 0.000
#> D3en4_90 1 0.000
#> D3en4_93 1 1.000
#> D3en4_94 1 0.751
#> D3en4_95 1 1.000
#> D3en4_96 1 0.000
#> D3ex_1 1 0.000
#> D3ex_2 1 0.747
#> D3ex_3 2 0.249
#> D3ex_4 2 0.000
#> D3ex_7 1 0.000
#> D3ex_8 1 0.000
#> D3ex_10 1 0.000
#> D3ex_11 1 0.000
#> D3ex_12 2 0.000
#> D3ex_13 1 0.000
#> D3ex_14 1 0.000
#> D3ex_15 1 0.000
#> D3ex_16 1 1.000
#> D3ex_17 1 1.000
#> D3ex_18 1 0.000
#> D3ex_19 1 0.000
#> D3ex_20 1 0.000
#> D3ex_21 1 0.000
#> D3ex_22 1 0.000
#> D3ex_23 1 0.000
#> D3ex_24 1 0.249
#> D3ex_25 1 0.000
#> D3ex_26 1 0.249
#> D3ex_27 1 0.000
#> D3ex_28 1 0.000
#> D3ex_29 1 0.000
#> D3ex_30 1 0.000
#> D3ex_31 1 0.000
#> D3ex_32 1 0.000
#> D3ex_33 1 0.000
#> D3ex_35 1 1.000
#> D3ex_37 1 0.000
#> D3ex_38 1 1.000
#> D3ex_39 2 0.000
#> D3ex_40 1 1.000
#> D3ex_41 2 1.000
#> D3ex_42 1 0.000
#> D3ex_43 1 0.000
#> D3ex_44 1 0.000
#> D3ex_45 1 0.000
#> D3ex_46 1 0.000
#> D3ex_47 1 1.000
#> D3ex_48 2 0.000
#> D3ex_49 1 0.000
#> D3ex_50 1 0.000
#> D3ex_51 2 0.000
#> D3ex_52 1 0.000
#> D3ex_53 1 0.000
#> D3ex_54 1 0.000
#> D3ex_55 2 0.000
#> D3ex_56 1 0.000
#> D3ex_57 1 0.000
#> D3ex_58 1 0.000
#> D3ex_59 1 1.000
#> D3ex_60 1 0.000
#> D3ex_61 1 0.000
#> D3ex_62 1 0.000
#> D3ex_63 1 0.000
#> D3ex_64 1 0.000
#> D3ex_65 1 0.000
#> D3ex_66 2 0.000
#> D3ex_67 1 1.000
#> D3ex_68 2 0.747
#> D3ex_69 1 1.000
#> D3ex_70 1 0.000
#> D3ex_72 1 0.000
#> D3ex_73 1 0.000
#> D3ex_75 1 1.000
#> D3ex_77 2 0.498
#> D3ex_78 1 0.000
#> D3ex_79 1 1.000
#> D3ex_80 1 0.000
#> D3ex_81 1 0.000
#> D3ex_82 1 1.000
#> D3ex_84 1 0.000
#> D3ex_85 1 0.000
#> D3ex_86 1 0.000
#> D3ex_87 1 0.000
#> D3ex_88 2 0.000
#> D3ex_89 1 0.000
#> D3ex_90 2 0.000
#> D3ex_92 2 0.249
#> D3ex_93 1 0.000
#> D3ex_94 1 0.000
#> D3ex_95 1 0.000
#> D3ex_96 1 0.000
#> D74_4 1 0.000
#> D74_11 2 0.000
#> D74_12 2 0.000
#> D74_19 2 1.000
#> D74_21 2 0.000
#> D74_26 2 0.502
#> D74_28 2 0.000
#> D74_30 1 0.000
#> D74_38 1 0.000
#> D74_48 1 0.000
#> D74_50 1 0.000
#> D74_59 2 0.249
#> D74_64 2 0.000
#> D74_72 1 0.000
#> D74_73 2 0.253
#> D74_74 2 0.000
#> D74_80 1 0.249
#> D74_84 1 0.000
#> D74_89 1 0.000
#> D74_96 1 0.000
#> D71_1 2 0.000
#> D71_7 2 0.000
#> D71_8 2 0.000
#> D71_11 2 0.498
#> D71_13 1 0.000
#> D71_17 2 0.000
#> D71_24 1 0.000
#> D71_25 1 1.000
#> D71_26 2 0.000
#> D71_28 2 0.000
#> D71_32 2 0.000
#> D71_36 2 0.000
#> D71_38 2 0.000
#> D71_44 2 0.000
#> D71_45 2 0.000
#> D71_46 1 0.000
#> D71_47 2 0.253
#> D71_49 2 0.249
#> D71_50 1 0.000
#> D71_51 2 0.249
#> D71_59 2 0.000
#> D71_60 2 0.253
#> D71_63 2 0.000
#> D71_73 2 0.000
#> D71_74 1 0.000
#> D71_77 1 0.000
#> D71_84 2 0.000
#> D71_88 2 0.000
#> D71_89 1 0.000
#> D71_90 2 0.000
#> D71_93 2 0.249
#> D71_96 1 0.000
#> D72_2 2 1.000
#> D72_3 2 0.000
#> D72_5 2 1.000
#> D72_6 1 0.249
#> D72_7 1 0.747
#> D72_8 2 1.000
#> D72_9 2 0.498
#> D72_10 2 0.000
#> D72_11 1 0.000
#> D72_12 2 0.000
#> D72_13 2 0.253
#> D72_14 1 1.000
#> D72_15 2 0.000
#> D72_16 2 0.502
#> D72_17 1 0.000
#> D72_19 1 0.000
#> D72_20 2 0.000
#> D72_21 2 0.249
#> D72_23 2 0.502
#> D72_24 1 0.000
#> D72_25 2 0.000
#> D72_26 1 0.000
#> D72_27 2 1.000
#> D72_28 2 0.000
#> D72_29 2 0.253
#> D72_30 2 0.000
#> D72_32 2 0.249
#> D72_34 2 0.502
#> D72_35 2 0.751
#> D72_36 2 0.000
#> D72_38 2 0.249
#> D72_39 2 0.000
#> D72_40 2 0.000
#> D72_41 2 0.000
#> D72_42 2 0.747
#> D72_44 2 0.502
#> D72_45 2 0.498
#> D72_46 2 0.751
#> D72_47 2 0.253
#> D72_48 2 0.253
#> D72_50 2 0.751
#> D72_51 1 0.000
#> D72_52 2 0.000
#> D72_54 2 0.000
#> D72_55 2 0.000
#> D72_56 1 0.000
#> D72_57 2 0.751
#> D72_58 1 1.000
#> D72_59 2 0.502
#> D72_60 1 0.000
#> D72_62 2 1.000
#> D72_63 2 0.502
#> D72_64 2 0.000
#> D72_70 2 0.000
#> D72_71 2 0.000
#> D72_73 1 0.000
#> D72_74 2 0.000
#> D72_75 2 1.000
#> D72_77 2 0.000
#> D72_79 2 0.000
#> D72_80 2 0.000
#> D72_83 2 1.000
#> D72_84 2 0.000
#> D72_85 2 0.000
#> D72_87 2 0.000
#> D72_89 1 1.000
#> D72_90 2 0.000
#> D72_92 2 0.000
#> D72_94 1 0.000
#> D73_7 2 1.000
#> D73_13 2 0.000
#> D73_15 1 1.000
#> D73_20 2 1.000
#> D73_30 2 0.000
#> D73_36 2 0.000
#> D73_38 2 0.000
#> D73_44 2 0.000
#> D73_45 2 0.000
#> D73_47 1 0.000
#> D73_49 2 0.253
#> D73_50 2 0.000
#> D73_53 1 0.000
#> D73_66 1 0.000
#> D73_74 1 0.000
#> D73_75 1 0.000
#> D73_77 1 0.000
#> D73_80 1 0.000
#> D73_88 1 0.000
#> D73_89 2 0.249
#> D73_90 2 0.747
#> D73_93 1 0.000
#> D73_94 1 0.000
#> D73_95 1 0.000
#> D10631_1 1 0.000
#> D10631_2 2 0.747
#> D10631_3 2 0.000
#> D10631_4 1 0.000
#> D10631_5 1 0.000
#> D10631_6 1 0.000
#> D10631_7 1 1.000
#> D10631_8 1 0.000
#> D10631_9 1 0.000
#> D10631_10 2 0.000
#> D10631_11 1 0.498
#> D10631_12 1 1.000
#> D10631_13 1 0.000
#> D10631_14 2 0.000
#> D10631_16 1 0.000
#> D10631_18 1 0.000
#> D10631_19 1 0.000
#> D10631_20 1 0.000
#> D10631_21 2 0.751
#> D10631_22 1 0.000
#> D10631_23 1 0.000
#> D10631_25 1 0.000
#> D10631_26 2 0.000
#> D10631_27 1 1.000
#> D10631_28 1 0.000
#> D10631_30 1 0.000
#> D10631_31 1 0.000
#> D10631_32 1 0.000
#> D10631_33 2 0.751
#> D10631_34 1 1.000
#> D10631_35 1 0.000
#> D10631_36 1 0.000
#> D10631_37 1 0.000
#> D10631_38 2 0.249
#> D10631_39 1 0.000
#> D10631_40 2 0.000
#> D10631_41 1 0.000
#> D10631_42 1 0.000
#> D10631_43 1 0.000
#> D10631_44 1 0.000
#> D10631_46 1 1.000
#> D10631_47 1 0.000
#> D10631_49 1 0.000
#> D10631_50 2 0.000
#> D10631_51 1 0.000
#> D10631_52 1 0.502
#> D10631_55 1 0.000
#> D10631_58 1 0.000
#> D10631_59 1 0.000
#> D10631_60 1 0.000
#> D10631_62 1 0.000
#> D10631_64 1 0.000
#> D10631_71 1 1.000
#> D10631_72 1 0.000
#> D10631_73 1 0.000
#> D10631_74 1 0.000
#> D10631_75 1 0.000
#> D10631_77 1 0.000
#> D10631_78 1 0.000
#> D10631_79 1 0.000
#> D10631_80 1 0.000
#> D10631_81 1 0.000
#> D10631_82 1 0.000
#> D10631_83 1 0.000
#> D10631_84 1 0.000
#> D10631_86 1 0.000
#> D10631_87 1 0.000
#> D10631_88 2 0.000
#> D10631_89 1 0.000
#> D10631_93 1 0.000
#> D10631_94 1 0.000
#> D101_1 2 0.000
#> D101_2 1 0.000
#> D101_3 1 0.000
#> D101_4 1 0.000
#> D101_5 2 0.000
#> D101_6 1 0.000
#> D101_8 1 0.000
#> D101_9 1 0.000
#> D101_11 1 0.000
#> D101_12 1 0.000
#> D101_15 1 0.000
#> D101_16 2 0.000
#> D101_18 1 0.000
#> D101_19 1 0.000
#> D101_20 1 0.000
#> D101_23 1 0.000
#> D101_26 1 0.000
#> D101_28 2 0.000
#> D101_30 1 0.000
#> D101_32 1 0.000
#> D101_33 1 0.000
#> D101_34 2 0.000
#> D101_36 2 0.000
#> D101_38 1 1.000
#> D101_39 1 0.000
#> D101_40 1 0.000
#> D101_41 1 0.000
#> D101_42 1 0.000
#> D101_44 1 0.498
#> D101_45 1 0.502
#> D101_46 1 0.000
#> D101_47 1 0.000
#> D101_49 1 0.000
#> D101_54 1 0.000
#> D101_55 1 0.000
#> D101_56 2 0.000
#> D101_57 1 0.000
#> D101_58 1 0.000
#> D101_59 2 0.000
#> D101_60 1 0.000
#> D101_61 1 0.000
#> D101_62 1 0.000
#> D101_63 1 0.000
#> D101_64 1 0.000
#> D101_65 1 0.000
#> D101_67 1 0.000
#> D101_68 1 0.253
#> D101_70 1 0.000
#> D101_71 1 0.000
#> D101_73 2 0.000
#> D101_75 1 0.000
#> D101_76 1 0.000
#> D101_77 1 1.000
#> D101_78 1 1.000
#> D101_79 1 0.000
#> D101_80 1 0.000
#> D101_83 2 0.000
#> D101_85 1 0.000
#> D101_86 1 0.000
#> D101_87 1 0.000
#> D101_88 1 0.000
#> D101_89 2 0.000
#> D101_90 1 0.000
#> D101_91 2 1.000
#> D101_92 1 0.000
#> D101_94 1 0.000
#> D101_96 1 0.000
#> D102_2 1 0.000
#> D102_3 2 0.000
#> D102_5 1 0.000
#> D102_6 1 1.000
#> D102_8 1 0.000
#> D102_9 1 0.000
#> D102_10 1 0.000
#> D102_12 1 0.000
#> D102_13 1 0.000
#> D102_14 1 1.000
#> D102_15 1 0.000
#> D102_16 1 0.000
#> D102_19 1 0.000
#> D102_20 1 0.000
#> D102_22 1 0.498
#> D102_23 1 0.000
#> D102_27 1 0.000
#> D102_28 1 0.000
#> D102_29 1 0.000
#> D102_30 1 0.000
#> D102_31 1 0.000
#> D102_32 1 0.000
#> D102_33 1 0.000
#> D102_34 1 0.000
#> D102_35 1 0.000
#> D102_36 1 0.000
#> D102_37 1 0.000
#> D102_38 1 0.000
#> D102_40 2 1.000
#> D102_41 1 0.000
#> D102_42 1 0.000
#> D102_43 1 0.000
#> D102_44 1 0.000
#> D102_46 1 0.000
#> D102_47 1 0.000
#> D102_48 1 0.000
#> D102_49 1 0.000
#> D102_52 1 0.000
#> D102_53 1 0.000
#> D102_56 1 0.000
#> D102_57 1 0.249
#> D102_60 1 0.000
#> D102_62 1 0.000
#> D102_65 1 0.000
#> D102_67 1 0.000
#> D102_70 1 0.000
#> D102_72 1 0.000
#> D102_74 1 0.000
#> D102_75 1 0.000
#> D102_77 1 0.000
#> D102_80 1 0.000
#> D102_81 1 0.000
#> D102_82 1 0.000
#> D102_83 1 0.000
#> D102_84 1 0.000
#> D102_85 1 0.253
#> D102_86 1 0.000
#> D102_88 1 0.000
#> D102_89 1 0.000
#> D102_90 1 0.751
#> D102_92 1 0.000
#> D102_94 2 0.249
#> D102_95 1 0.000
#> D1713_6 2 0.000
#> D1713_7 2 0.000
#> D1713_18 2 0.000
#> D1713_24 2 1.000
#> D1713_36 2 0.000
#> D1713_37 2 0.000
#> D1713_39 2 0.000
#> D1713_44 1 0.000
#> D1713_45 1 0.751
#> D1713_60 1 1.000
#> D1713_78 2 0.000
#> D1713_96 2 0.249
#> D172444_2 2 0.502
#> D172444_3 2 0.502
#> D172444_4 2 0.000
#> D172444_5 1 0.502
#> D172444_6 1 0.000
#> D172444_7 2 0.000
#> D172444_10 2 0.249
#> D172444_11 2 0.000
#> D172444_12 2 0.751
#> D172444_14 2 0.000
#> D172444_15 2 0.751
#> D172444_16 2 0.000
#> D172444_17 2 0.000
#> D172444_20 2 0.498
#> D172444_22 2 0.498
#> D172444_23 2 0.249
#> D172444_24 2 0.502
#> D172444_25 2 0.498
#> D172444_26 2 0.751
#> D172444_27 2 0.000
#> D172444_28 2 1.000
#> D172444_30 2 0.502
#> D172444_31 2 0.000
#> D172444_33 2 0.253
#> D172444_34 2 0.751
#> D172444_35 2 0.502
#> D172444_40 1 0.000
#> D172444_41 2 0.000
#> D172444_44 1 0.498
#> D172444_45 1 1.000
#> D172444_46 2 0.502
#> D172444_50 2 0.000
#> D172444_52 2 0.253
#> D172444_53 2 0.249
#> D172444_58 2 0.747
#> D172444_59 2 0.751
#> D172444_61 2 0.249
#> D172444_63 2 0.000
#> D172444_64 2 0.249
#> D172444_68 2 0.498
#> D172444_69 2 0.000
#> D172444_70 2 0.000
#> D172444_74 2 0.000
#> D172444_75 2 0.751
#> D172444_80 2 0.000
#> D172444_82 2 0.249
#> D172444_84 2 0.000
#> D172444_88 2 0.751
#> D172444_89 2 0.249
#> D172444_90 2 0.253
#> D172444_92 2 0.000
#> D172444_94 1 0.000
#> D172444_95 1 0.000
#> D172444_96 1 0.000
#> D17All1_13 1 0.000
#> D17All1_14 1 0.000
#> D17All1_15 1 0.000
#> D17All1_17 1 0.000
#> D17All1_21 1 0.000
#> D17All1_34 2 0.000
#> D17All1_67 2 0.000
#> D17All1_85 1 0.000
#> D17All1_94 1 0.000
#> D17All2_5 1 0.000
#> D17All2_25 2 0.000
#> D17All2_31 2 0.000
#> D17All2_32 2 0.000
#> D17All2_33 2 0.000
#> D17All2_35 2 0.000
#> D17All2_42 2 0.000
#> D17All2_50 1 0.000
#> D17All2_51 2 0.000
#> D17All2_60 1 1.000
#> D17All2_67 2 0.000
#> D17All2_73 2 0.000
#> D17All2_75 1 0.000
#> D17All2_82 2 0.000
#> D17All2_89 1 0.000
#> D17All2_96 1 0.000
#> D17TGFB_16 2 0.000
#> D17TGFB_18 1 0.000
#> D17TGFB_25 2 0.751
#> D17TGFB_26 2 0.000
#> D17TGFB_28 2 1.000
#> D17TGFB_30 2 0.249
#> D17TGFB_32 2 0.000
#> D17TGFB_40 2 0.249
#> D17TGFB_42 2 0.000
#> D17TGFB_46 2 0.000
#> D17TGFB_50 2 0.253
#> D17TGFB_60 1 0.000
#> D17TGFB_62 1 0.000
#> D17TGFB_84 2 0.502
#> D17TGFB_96 1 0.000
get_classes(res, k = 3)
#> class p
#> D2ex_13 2 1.000
#> D2ex_14 2 0.751
#> D2ex_23 2 0.502
#> D2ex_31 2 1.000
#> D2ex_32 2 0.000
#> D2ex_38 2 1.000
#> D2ex_39 2 0.000
#> D2ex_42 2 1.000
#> D2ex_45 1 0.000
#> D2ex_48 3 0.000
#> D2ex_49 2 0.751
#> D2ex_50 2 1.000
#> D2ex_54 1 0.000
#> D2ex_60 3 0.000
#> D2ex_63 1 0.000
#> D2ex_64 1 0.000
#> D2ex_65 1 0.000
#> D2ex_77 2 0.253
#> D2ex_80 1 0.000
#> D2ex_81 3 0.000
#> D2ex_89 2 1.000
#> D2ex_91 3 0.747
#> D2ex_93 1 0.000
#> D2ex_94 1 0.000
#> D2ex_95 1 0.000
#> D2ex_96 1 0.000
#> D3en1_1 2 1.000
#> D3en1_2 2 0.747
#> D3en1_3 2 0.253
#> D3en1_4 2 1.000
#> D3en1_6 3 0.000
#> D3en1_7 3 0.000
#> D3en1_8 3 1.000
#> D3en1_9 3 0.000
#> D3en1_12 1 1.000
#> D3en1_14 1 0.000
#> D3en1_15 1 0.000
#> D3en1_16 1 1.000
#> D3en1_17 2 0.000
#> D3en1_18 1 0.000
#> D3en1_19 1 0.000
#> D3en1_20 1 0.000
#> D3en1_21 3 0.000
#> D3en1_22 3 0.000
#> D3en1_23 1 1.000
#> D3en1_24 3 0.000
#> D3en1_25 3 1.000
#> D3en1_27 3 0.000
#> D3en1_28 2 0.747
#> D3en1_29 2 1.000
#> D3en1_31 1 0.000
#> D3en1_32 1 0.000
#> D3en1_33 3 0.000
#> D3en1_34 1 0.000
#> D3en1_35 1 1.000
#> D3en1_36 1 1.000
#> D3en1_38 2 1.000
#> D3en1_39 1 1.000
#> D3en1_40 1 0.000
#> D3en1_42 1 1.000
#> D3en1_43 3 0.000
#> D3en1_44 3 0.000
#> D3en1_46 1 1.000
#> D3en1_47 3 0.000
#> D3en1_50 2 0.502
#> D3en1_51 3 0.751
#> D3en1_52 1 0.000
#> D3en1_53 3 0.000
#> D3en1_54 2 1.000
#> D3en1_55 2 0.000
#> D3en1_57 1 0.000
#> D3en1_58 1 0.000
#> D3en1_59 3 1.000
#> D3en1_61 1 1.000
#> D3en1_62 1 1.000
#> D3en1_64 3 0.000
#> D3en1_65 3 0.000
#> D3en1_66 3 0.000
#> D3en1_67 2 0.751
#> D3en1_70 1 0.000
#> D3en1_72 1 0.000
#> D3en1_74 1 1.000
#> D3en1_76 3 0.000
#> D3en1_77 1 0.000
#> D3en1_78 1 0.000
#> D3en1_79 2 0.249
#> D3en1_80 1 0.000
#> D3en1_81 1 0.000
#> D3en1_82 1 0.000
#> D3en1_83 3 0.000
#> D3en1_84 2 1.000
#> D3en1_85 3 0.000
#> D3en1_86 1 0.000
#> D3en1_89 2 0.751
#> D3en1_90 3 1.000
#> D3en1_91 3 0.000
#> D3en1_92 1 0.000
#> D3en1_93 2 0.000
#> D3en1_94 2 1.000
#> D3en1_95 1 1.000
#> D3en1_96 1 0.000
#> D3en2_1 3 0.000
#> D3en2_2 3 0.498
#> D3en2_3 2 0.747
#> D3en2_4 1 1.000
#> D3en2_7 2 1.000
#> D3en2_8 1 1.000
#> D3en2_9 3 0.000
#> D3en2_10 1 1.000
#> D3en2_11 3 0.000
#> D3en2_12 3 0.000
#> D3en2_13 3 0.000
#> D3en2_14 1 1.000
#> D3en2_15 1 1.000
#> D3en2_17 2 0.000
#> D3en2_18 1 0.000
#> D3en2_19 1 1.000
#> D3en2_20 1 0.747
#> D3en2_22 3 0.000
#> D3en2_24 3 0.249
#> D3en2_28 1 0.000
#> D3en2_29 3 0.000
#> D3en2_30 3 0.751
#> D3en2_34 1 1.000
#> D3en2_35 1 0.000
#> D3en2_36 1 0.000
#> D3en2_38 3 0.000
#> D3en2_40 1 0.000
#> D3en2_41 1 0.000
#> D3en2_43 1 1.000
#> D3en2_44 3 0.000
#> D3en2_46 1 0.000
#> D3en2_47 1 0.000
#> D3en2_49 1 0.000
#> D3en2_50 1 0.000
#> D3en2_51 1 0.000
#> D3en2_52 2 0.000
#> D3en2_53 3 0.000
#> D3en2_54 1 0.000
#> D3en2_55 3 0.000
#> D3en2_56 2 0.000
#> D3en2_57 2 1.000
#> D3en2_58 2 0.000
#> D3en2_59 1 1.000
#> D3en2_61 3 0.000
#> D3en2_62 2 1.000
#> D3en2_63 1 0.249
#> D3en2_64 2 1.000
#> D3en2_65 1 0.000
#> D3en2_67 1 1.000
#> D3en2_69 3 0.000
#> D3en2_70 3 0.000
#> D3en2_73 1 0.000
#> D3en2_75 1 1.000
#> D3en2_76 3 0.000
#> D3en2_77 3 0.000
#> D3en2_78 1 1.000
#> D3en2_79 1 1.000
#> D3en2_80 1 0.000
#> D3en2_81 3 0.000
#> D3en2_82 3 0.000
#> D3en2_83 3 0.249
#> D3en2_84 1 1.000
#> D3en2_85 2 1.000
#> D3en2_86 1 0.000
#> D3en2_87 1 0.000
#> D3en2_88 3 0.000
#> D3en2_89 3 0.751
#> D3en2_91 2 0.498
#> D3en2_92 2 1.000
#> D3en2_93 2 1.000
#> D3en2_94 1 0.502
#> D3en2_95 1 0.000
#> D3en2_96 1 0.000
#> D3en3_1 2 1.000
#> D3en3_3 1 0.000
#> D3en3_4 1 1.000
#> D3en3_5 3 1.000
#> D3en3_6 2 0.751
#> D3en3_7 3 0.000
#> D3en3_8 1 1.000
#> D3en3_10 3 0.751
#> D3en3_11 2 0.249
#> D3en3_12 1 0.000
#> D3en3_13 1 0.751
#> D3en3_14 1 1.000
#> D3en3_15 3 0.000
#> D3en3_16 3 0.000
#> D3en3_17 1 1.000
#> D3en3_18 1 0.000
#> D3en3_19 1 0.000
#> D3en3_20 1 0.000
#> D3en3_21 2 1.000
#> D3en3_22 1 0.000
#> D3en3_23 1 1.000
#> D3en3_24 3 0.000
#> D3en3_25 1 0.000
#> D3en3_26 1 0.000
#> D3en3_27 3 0.000
#> D3en3_28 3 0.000
#> D3en3_29 2 0.000
#> D3en3_30 3 0.498
#> D3en3_31 1 1.000
#> D3en3_32 2 0.000
#> D3en3_33 1 0.000
#> D3en3_34 1 1.000
#> D3en3_35 1 0.000
#> D3en3_36 2 1.000
#> D3en3_37 1 1.000
#> D3en3_38 1 1.000
#> D3en3_40 1 0.000
#> D3en3_41 3 0.000
#> D3en3_42 1 0.000
#> D3en3_43 1 0.000
#> D3en3_44 2 1.000
#> D3en3_45 3 0.000
#> D3en3_47 1 0.249
#> D3en3_48 3 0.000
#> D3en3_49 3 1.000
#> D3en3_50 2 1.000
#> D3en3_52 2 1.000
#> D3en3_53 2 0.000
#> D3en3_54 2 0.253
#> D3en3_55 3 0.000
#> D3en3_56 1 0.498
#> D3en3_57 1 0.253
#> D3en3_58 1 0.751
#> D3en3_59 2 1.000
#> D3en3_60 1 0.000
#> D3en3_61 1 1.000
#> D3en3_62 1 1.000
#> D3en3_63 1 0.000
#> D3en3_65 2 0.249
#> D3en3_66 1 0.000
#> D3en3_67 3 0.000
#> D3en3_69 1 1.000
#> D3en3_70 1 0.000
#> D3en3_71 3 1.000
#> D3en3_73 3 0.249
#> D3en3_74 1 1.000
#> D3en3_75 2 0.000
#> D3en3_76 1 0.000
#> D3en3_77 1 0.000
#> D3en3_78 1 0.000
#> D3en3_79 1 0.000
#> D3en3_80 1 0.000
#> D3en3_81 1 0.000
#> D3en3_82 1 0.000
#> D3en3_83 1 0.000
#> D3en3_84 1 0.000
#> D3en3_85 3 0.000
#> D3en3_86 2 1.000
#> D3en3_88 1 0.498
#> D3en3_89 2 1.000
#> D3en3_90 1 1.000
#> D3en3_91 3 0.751
#> D3en3_92 3 0.000
#> D3en3_93 1 0.000
#> D3en3_94 3 0.000
#> D3en3_95 3 0.000
#> D3en3_96 3 0.000
#> D3en4_1 1 0.000
#> D3en4_2 1 0.751
#> D3en4_3 3 1.000
#> D3en4_4 3 0.498
#> D3en4_5 1 0.000
#> D3en4_10 1 0.249
#> D3en4_11 1 0.000
#> D3en4_13 3 0.000
#> D3en4_15 3 0.000
#> D3en4_16 3 0.000
#> D3en4_17 3 0.000
#> D3en4_18 3 0.000
#> D3en4_19 3 0.000
#> D3en4_21 3 0.000
#> D3en4_22 2 0.000
#> D3en4_24 3 1.000
#> D3en4_27 3 0.000
#> D3en4_28 3 0.000
#> D3en4_29 1 0.000
#> D3en4_33 2 1.000
#> D3en4_34 3 0.000
#> D3en4_36 1 0.000
#> D3en4_37 1 0.751
#> D3en4_38 2 1.000
#> D3en4_40 3 0.000
#> D3en4_43 2 1.000
#> D3en4_44 3 0.000
#> D3en4_45 1 0.000
#> D3en4_49 3 0.000
#> D3en4_50 3 0.000
#> D3en4_51 3 0.000
#> D3en4_52 3 0.000
#> D3en4_53 1 0.502
#> D3en4_55 1 0.000
#> D3en4_57 1 0.747
#> D3en4_58 3 1.000
#> D3en4_59 1 0.000
#> D3en4_62 1 0.000
#> D3en4_66 3 0.000
#> D3en4_67 3 0.000
#> D3en4_70 1 0.000
#> D3en4_75 1 0.000
#> D3en4_76 1 0.000
#> D3en4_77 1 0.000
#> D3en4_78 1 1.000
#> D3en4_79 1 0.000
#> D3en4_80 1 0.249
#> D3en4_81 1 0.000
#> D3en4_82 1 0.000
#> D3en4_84 3 0.249
#> D3en4_85 2 1.000
#> D3en4_86 3 0.000
#> D3en4_88 3 0.000
#> D3en4_89 2 1.000
#> D3en4_90 1 0.000
#> D3en4_93 3 0.000
#> D3en4_94 3 1.000
#> D3en4_95 3 1.000
#> D3en4_96 1 0.000
#> D3ex_1 1 0.000
#> D3ex_2 3 1.000
#> D3ex_3 2 1.000
#> D3ex_4 3 0.000
#> D3ex_7 1 0.000
#> D3ex_8 1 0.000
#> D3ex_10 1 1.000
#> D3ex_11 1 0.000
#> D3ex_12 2 1.000
#> D3ex_13 1 0.000
#> D3ex_14 1 0.000
#> D3ex_15 1 0.000
#> D3ex_16 1 0.751
#> D3ex_17 3 0.000
#> D3ex_18 1 0.000
#> D3ex_19 1 0.000
#> D3ex_20 1 0.000
#> D3ex_21 1 0.000
#> D3ex_22 1 0.000
#> D3ex_23 1 0.000
#> D3ex_24 1 0.498
#> D3ex_25 1 0.000
#> D3ex_26 1 0.751
#> D3ex_27 1 0.000
#> D3ex_28 1 0.000
#> D3ex_29 1 0.000
#> D3ex_30 1 0.000
#> D3ex_31 1 0.000
#> D3ex_32 1 0.000
#> D3ex_33 1 0.000
#> D3ex_35 1 1.000
#> D3ex_37 1 0.000
#> D3ex_38 3 0.000
#> D3ex_39 3 0.000
#> D3ex_40 3 0.000
#> D3ex_41 2 0.000
#> D3ex_42 1 0.000
#> D3ex_43 1 0.000
#> D3ex_44 1 0.000
#> D3ex_45 1 0.000
#> D3ex_46 1 0.000
#> D3ex_47 1 1.000
#> D3ex_48 2 0.000
#> D3ex_49 1 0.000
#> D3ex_50 1 0.000
#> D3ex_51 3 0.751
#> D3ex_52 1 0.000
#> D3ex_53 1 0.000
#> D3ex_54 1 0.000
#> D3ex_55 2 1.000
#> D3ex_56 1 0.000
#> D3ex_57 1 0.000
#> D3ex_58 1 0.000
#> D3ex_59 3 0.000
#> D3ex_60 1 0.000
#> D3ex_61 1 0.000
#> D3ex_62 1 0.000
#> D3ex_63 1 0.000
#> D3ex_64 3 1.000
#> D3ex_65 1 0.000
#> D3ex_66 2 0.502
#> D3ex_67 3 0.000
#> D3ex_68 2 1.000
#> D3ex_69 3 0.000
#> D3ex_70 1 0.000
#> D3ex_72 1 0.000
#> D3ex_73 1 0.000
#> D3ex_75 3 0.000
#> D3ex_77 2 0.000
#> D3ex_78 1 0.000
#> D3ex_79 3 1.000
#> D3ex_80 1 0.000
#> D3ex_81 1 0.000
#> D3ex_82 3 0.000
#> D3ex_84 1 0.000
#> D3ex_85 1 0.000
#> D3ex_86 1 0.000
#> D3ex_87 1 0.000
#> D3ex_88 2 0.000
#> D3ex_89 1 0.000
#> D3ex_90 3 0.000
#> D3ex_92 2 0.751
#> D3ex_93 1 0.000
#> D3ex_94 1 0.000
#> D3ex_95 1 0.000
#> D3ex_96 1 0.000
#> D74_4 1 0.000
#> D74_11 3 0.000
#> D74_12 2 0.747
#> D74_19 3 0.000
#> D74_21 2 0.000
#> D74_26 2 0.498
#> D74_28 2 0.249
#> D74_30 1 0.000
#> D74_38 1 0.000
#> D74_48 1 0.000
#> D74_50 1 0.000
#> D74_59 2 0.000
#> D74_64 2 0.000
#> D74_72 1 0.000
#> D74_73 2 0.747
#> D74_74 2 1.000
#> D74_80 1 0.751
#> D74_84 1 0.000
#> D74_89 3 1.000
#> D74_96 1 0.000
#> D71_1 2 1.000
#> D71_7 2 0.000
#> D71_8 2 1.000
#> D71_11 2 0.249
#> D71_13 1 0.000
#> D71_17 2 0.000
#> D71_24 1 0.000
#> D71_25 1 0.747
#> D71_26 2 0.747
#> D71_28 2 0.751
#> D71_32 2 0.000
#> D71_36 2 0.751
#> D71_38 2 0.751
#> D71_44 2 1.000
#> D71_45 2 0.498
#> D71_46 1 0.000
#> D71_47 2 0.000
#> D71_49 2 0.000
#> D71_50 1 0.000
#> D71_51 2 0.000
#> D71_59 2 0.000
#> D71_60 2 1.000
#> D71_63 2 0.751
#> D71_73 2 1.000
#> D71_74 1 0.000
#> D71_77 1 0.000
#> D71_84 2 0.751
#> D71_88 2 0.000
#> D71_89 1 0.000
#> D71_90 2 0.502
#> D71_93 2 0.000
#> D71_96 1 0.000
#> D72_2 2 0.000
#> D72_3 2 0.249
#> D72_5 2 0.000
#> D72_6 1 0.000
#> D72_7 3 0.751
#> D72_8 2 0.000
#> D72_9 2 0.000
#> D72_10 2 0.000
#> D72_11 3 1.000
#> D72_12 3 1.000
#> D72_13 2 0.498
#> D72_14 3 0.000
#> D72_15 2 1.000
#> D72_16 2 0.000
#> D72_17 1 0.000
#> D72_19 1 0.000
#> D72_20 2 0.000
#> D72_21 2 0.000
#> D72_23 2 0.249
#> D72_24 3 1.000
#> D72_25 2 1.000
#> D72_26 1 0.000
#> D72_27 3 1.000
#> D72_28 2 1.000
#> D72_29 2 0.000
#> D72_30 2 0.253
#> D72_32 2 0.249
#> D72_34 2 0.000
#> D72_35 2 0.000
#> D72_36 2 0.253
#> D72_38 2 0.000
#> D72_39 2 0.000
#> D72_40 2 0.751
#> D72_41 2 0.000
#> D72_42 2 0.000
#> D72_44 3 1.000
#> D72_45 2 0.000
#> D72_46 2 0.000
#> D72_47 2 0.000
#> D72_48 2 0.000
#> D72_50 2 0.000
#> D72_51 1 0.000
#> D72_52 2 0.249
#> D72_54 2 0.000
#> D72_55 2 0.000
#> D72_56 1 0.000
#> D72_57 2 0.000
#> D72_58 3 0.000
#> D72_59 2 0.000
#> D72_60 1 0.000
#> D72_62 2 0.000
#> D72_63 3 0.000
#> D72_64 2 0.000
#> D72_70 2 0.000
#> D72_71 2 0.502
#> D72_73 1 1.000
#> D72_74 2 0.000
#> D72_75 2 0.000
#> D72_77 2 0.000
#> D72_79 2 0.000
#> D72_80 2 0.502
#> D72_83 2 0.000
#> D72_84 2 0.000
#> D72_85 2 0.000
#> D72_87 2 0.000
#> D72_89 3 0.000
#> D72_90 2 0.249
#> D72_92 2 0.000
#> D72_94 1 0.000
#> D73_7 2 0.000
#> D73_13 2 1.000
#> D73_15 3 0.000
#> D73_20 2 0.000
#> D73_30 2 0.000
#> D73_36 2 0.000
#> D73_38 2 0.000
#> D73_44 2 0.249
#> D73_45 2 0.000
#> D73_47 1 0.000
#> D73_49 2 0.000
#> D73_50 2 0.747
#> D73_53 1 0.000
#> D73_66 1 0.000
#> D73_74 1 0.000
#> D73_75 1 0.000
#> D73_77 1 0.000
#> D73_80 1 0.000
#> D73_88 1 0.000
#> D73_89 2 0.000
#> D73_90 2 0.000
#> D73_93 1 0.000
#> D73_94 1 0.000
#> D73_95 1 0.000
#> D10631_1 1 0.000
#> D10631_2 2 0.751
#> D10631_3 2 0.498
#> D10631_4 1 0.000
#> D10631_5 1 0.000
#> D10631_6 1 0.000
#> D10631_7 1 0.751
#> D10631_8 1 0.000
#> D10631_9 1 0.000
#> D10631_10 2 1.000
#> D10631_11 1 0.000
#> D10631_12 3 0.249
#> D10631_13 1 0.000
#> D10631_14 3 0.000
#> D10631_16 1 0.000
#> D10631_18 1 0.000
#> D10631_19 1 0.000
#> D10631_20 1 0.000
#> D10631_21 3 1.000
#> D10631_22 1 0.000
#> D10631_23 1 0.000
#> D10631_25 1 0.000
#> D10631_26 2 0.249
#> D10631_27 3 0.000
#> D10631_28 1 0.000
#> D10631_30 1 0.000
#> D10631_31 1 0.000
#> D10631_32 1 0.000
#> D10631_33 2 0.249
#> D10631_34 3 0.000
#> D10631_35 1 0.000
#> D10631_36 1 0.000
#> D10631_37 1 0.000
#> D10631_38 2 0.253
#> D10631_39 1 0.000
#> D10631_40 2 1.000
#> D10631_41 1 0.000
#> D10631_42 1 0.000
#> D10631_43 1 0.000
#> D10631_44 1 0.000
#> D10631_46 3 0.000
#> D10631_47 1 0.000
#> D10631_49 1 0.000
#> D10631_50 2 1.000
#> D10631_51 3 1.000
#> D10631_52 3 0.751
#> D10631_55 1 0.000
#> D10631_58 1 0.000
#> D10631_59 1 0.000
#> D10631_60 1 0.000
#> D10631_62 1 0.000
#> D10631_64 1 0.000
#> D10631_71 3 0.249
#> D10631_72 1 0.000
#> D10631_73 1 0.000
#> D10631_74 1 0.000
#> D10631_75 1 0.000
#> D10631_77 1 0.000
#> D10631_78 1 0.000
#> D10631_79 1 0.000
#> D10631_80 1 0.000
#> D10631_81 1 0.000
#> D10631_82 1 0.000
#> D10631_83 1 0.000
#> D10631_84 1 0.000
#> D10631_86 1 0.000
#> D10631_87 1 0.000
#> D10631_88 2 1.000
#> D10631_89 1 0.000
#> D10631_93 1 0.000
#> D10631_94 1 0.000
#> D101_1 2 1.000
#> D101_2 1 0.000
#> D101_3 1 0.000
#> D101_4 1 0.000
#> D101_5 2 0.000
#> D101_6 1 0.000
#> D101_8 1 0.000
#> D101_9 1 0.000
#> D101_11 1 0.000
#> D101_12 1 0.502
#> D101_15 1 0.000
#> D101_16 3 0.000
#> D101_18 1 0.000
#> D101_19 1 0.000
#> D101_20 1 0.000
#> D101_23 1 0.000
#> D101_26 1 0.000
#> D101_28 2 0.751
#> D101_30 1 0.000
#> D101_32 1 0.000
#> D101_33 1 0.000
#> D101_34 3 0.000
#> D101_36 3 0.000
#> D101_38 1 1.000
#> D101_39 1 0.000
#> D101_40 1 0.000
#> D101_41 1 0.000
#> D101_42 1 0.751
#> D101_44 1 0.000
#> D101_45 3 0.498
#> D101_46 1 0.000
#> D101_47 1 0.000
#> D101_49 1 0.000
#> D101_54 1 0.000
#> D101_55 1 0.000
#> D101_56 3 0.000
#> D101_57 1 0.000
#> D101_58 1 0.000
#> D101_59 3 0.000
#> D101_60 1 0.000
#> D101_61 1 0.000
#> D101_62 1 0.000
#> D101_63 1 0.000
#> D101_64 1 0.000
#> D101_65 1 0.000
#> D101_67 1 0.000
#> D101_68 1 0.747
#> D101_70 1 0.000
#> D101_71 1 0.000
#> D101_73 2 0.000
#> D101_75 1 0.000
#> D101_76 1 0.000
#> D101_77 3 0.000
#> D101_78 1 1.000
#> D101_79 1 0.000
#> D101_80 1 0.000
#> D101_83 3 0.000
#> D101_85 1 0.000
#> D101_86 3 1.000
#> D101_87 1 0.000
#> D101_88 1 0.000
#> D101_89 2 0.000
#> D101_90 1 0.000
#> D101_91 2 0.751
#> D101_92 1 0.000
#> D101_94 1 0.000
#> D101_96 1 0.000
#> D102_2 1 0.000
#> D102_3 2 1.000
#> D102_5 1 0.000
#> D102_6 3 0.000
#> D102_8 1 0.000
#> D102_9 1 0.000
#> D102_10 1 0.000
#> D102_12 1 0.000
#> D102_13 1 0.000
#> D102_14 3 0.249
#> D102_15 1 0.000
#> D102_16 1 0.000
#> D102_19 1 0.000
#> D102_20 1 0.000
#> D102_22 1 0.502
#> D102_23 1 0.000
#> D102_27 1 0.000
#> D102_28 1 0.000
#> D102_29 1 0.000
#> D102_30 1 0.000
#> D102_31 1 0.000
#> D102_32 1 0.000
#> D102_33 1 0.000
#> D102_34 1 0.000
#> D102_35 1 0.000
#> D102_36 1 0.000
#> D102_37 1 0.000
#> D102_38 1 0.000
#> D102_40 2 0.000
#> D102_41 1 0.000
#> D102_42 1 0.000
#> D102_43 1 0.000
#> D102_44 1 0.000
#> D102_46 1 0.000
#> D102_47 1 0.000
#> D102_48 1 0.000
#> D102_49 1 0.000
#> D102_52 1 0.000
#> D102_53 1 0.000
#> D102_56 1 0.000
#> D102_57 3 1.000
#> D102_60 1 0.000
#> D102_62 1 0.000
#> D102_65 1 0.000
#> D102_67 1 0.000
#> D102_70 1 0.000
#> D102_72 1 0.000
#> D102_74 1 0.000
#> D102_75 1 0.000
#> D102_77 1 0.000
#> D102_80 1 0.000
#> D102_81 1 0.000
#> D102_82 1 0.000
#> D102_83 1 0.000
#> D102_84 1 0.000
#> D102_85 1 0.000
#> D102_86 1 0.000
#> D102_88 1 0.000
#> D102_89 1 0.000
#> D102_90 3 0.253
#> D102_92 1 0.000
#> D102_94 2 0.000
#> D102_95 1 0.000
#> D1713_6 2 1.000
#> D1713_7 3 0.000
#> D1713_18 2 0.751
#> D1713_24 2 0.000
#> D1713_36 3 0.000
#> D1713_37 2 1.000
#> D1713_39 3 1.000
#> D1713_44 1 0.249
#> D1713_45 3 0.747
#> D1713_60 3 0.000
#> D1713_78 2 1.000
#> D1713_96 2 0.000
#> D172444_2 2 0.000
#> D172444_3 2 0.751
#> D172444_4 2 0.000
#> D172444_5 1 0.751
#> D172444_6 1 0.000
#> D172444_7 3 0.000
#> D172444_10 2 0.000
#> D172444_11 2 0.000
#> D172444_12 2 0.000
#> D172444_14 2 0.000
#> D172444_15 2 0.000
#> D172444_16 2 0.498
#> D172444_17 2 0.000
#> D172444_20 2 0.000
#> D172444_22 2 0.000
#> D172444_23 2 0.000
#> D172444_24 2 0.000
#> D172444_25 2 0.000
#> D172444_26 2 0.000
#> D172444_27 2 1.000
#> D172444_28 2 0.000
#> D172444_30 2 0.000
#> D172444_31 2 0.000
#> D172444_33 2 0.000
#> D172444_34 2 0.000
#> D172444_35 2 0.000
#> D172444_40 1 0.000
#> D172444_41 2 0.000
#> D172444_44 3 0.253
#> D172444_45 3 0.502
#> D172444_46 2 0.000
#> D172444_50 2 1.000
#> D172444_52 2 0.000
#> D172444_53 2 0.000
#> D172444_58 2 0.000
#> D172444_59 2 0.249
#> D172444_61 2 0.000
#> D172444_63 2 0.249
#> D172444_64 2 0.000
#> D172444_68 2 0.000
#> D172444_69 2 0.751
#> D172444_70 2 1.000
#> D172444_74 2 0.751
#> D172444_75 2 0.000
#> D172444_80 2 0.000
#> D172444_82 2 0.000
#> D172444_84 2 0.751
#> D172444_88 2 0.000
#> D172444_89 2 0.000
#> D172444_90 2 0.000
#> D172444_92 2 0.000
#> D172444_94 1 0.000
#> D172444_95 1 0.000
#> D172444_96 1 0.000
#> D17All1_13 1 0.000
#> D17All1_14 1 0.000
#> D17All1_15 1 0.000
#> D17All1_17 1 0.000
#> D17All1_21 1 0.000
#> D17All1_34 2 0.000
#> D17All1_67 2 1.000
#> D17All1_85 1 0.000
#> D17All1_94 1 0.000
#> D17All2_5 1 0.000
#> D17All2_25 2 1.000
#> D17All2_31 2 0.751
#> D17All2_32 2 0.000
#> D17All2_33 2 1.000
#> D17All2_35 2 0.751
#> D17All2_42 3 0.000
#> D17All2_50 1 0.000
#> D17All2_51 2 1.000
#> D17All2_60 3 0.000
#> D17All2_67 2 1.000
#> D17All2_73 2 1.000
#> D17All2_75 1 0.000
#> D17All2_82 2 0.747
#> D17All2_89 1 0.000
#> D17All2_96 1 0.000
#> D17TGFB_16 2 0.000
#> D17TGFB_18 1 0.000
#> D17TGFB_25 2 0.000
#> D17TGFB_26 2 1.000
#> D17TGFB_28 2 0.751
#> D17TGFB_30 2 0.000
#> D17TGFB_32 2 1.000
#> D17TGFB_40 2 0.000
#> D17TGFB_42 2 0.000
#> D17TGFB_46 3 1.000
#> D17TGFB_50 2 0.000
#> D17TGFB_60 1 0.000
#> D17TGFB_62 1 0.000
#> D17TGFB_84 2 0.000
#> D17TGFB_96 1 0.000
get_classes(res, k = 4)
#> class p
#> D2ex_13 4 0.000
#> D2ex_14 4 0.000
#> D2ex_23 4 0.000
#> D2ex_31 4 0.000
#> D2ex_32 4 0.000
#> D2ex_38 4 0.000
#> D2ex_39 2 0.000
#> D2ex_42 4 0.000
#> D2ex_45 1 0.502
#> D2ex_48 3 0.000
#> D2ex_49 4 0.000
#> D2ex_50 4 0.000
#> D2ex_54 1 0.000
#> D2ex_60 3 1.000
#> D2ex_63 1 0.000
#> D2ex_64 1 0.000
#> D2ex_65 1 0.000
#> D2ex_77 4 0.000
#> D2ex_80 1 0.000
#> D2ex_81 3 0.000
#> D2ex_89 4 0.000
#> D2ex_91 3 1.000
#> D2ex_93 1 0.000
#> D2ex_94 1 0.000
#> D2ex_95 1 0.000
#> D2ex_96 1 0.000
#> D3en1_1 4 0.000
#> D3en1_2 4 0.000
#> D3en1_3 2 0.000
#> D3en1_4 2 0.000
#> D3en1_6 3 0.000
#> D3en1_7 3 0.000
#> D3en1_8 3 0.000
#> D3en1_9 3 0.000
#> D3en1_12 1 1.000
#> D3en1_14 1 0.000
#> D3en1_15 1 0.000
#> D3en1_16 1 1.000
#> D3en1_17 2 0.000
#> D3en1_18 1 0.000
#> D3en1_19 1 0.000
#> D3en1_20 1 0.000
#> D3en1_21 3 0.000
#> D3en1_22 3 0.502
#> D3en1_23 1 1.000
#> D3en1_24 3 0.000
#> D3en1_25 3 1.000
#> D3en1_27 3 0.000
#> D3en1_28 4 0.000
#> D3en1_29 4 0.000
#> D3en1_31 1 0.000
#> D3en1_32 1 0.000
#> D3en1_33 3 0.000
#> D3en1_34 1 0.000
#> D3en1_35 1 1.000
#> D3en1_36 1 1.000
#> D3en1_38 4 0.000
#> D3en1_39 1 1.000
#> D3en1_40 1 0.000
#> D3en1_42 1 1.000
#> D3en1_43 3 0.000
#> D3en1_44 3 0.000
#> D3en1_46 1 1.000
#> D3en1_47 3 0.000
#> D3en1_50 4 0.000
#> D3en1_51 3 1.000
#> D3en1_52 1 0.000
#> D3en1_53 3 0.000
#> D3en1_54 4 0.000
#> D3en1_55 2 0.000
#> D3en1_57 1 0.000
#> D3en1_58 1 0.000
#> D3en1_59 3 0.000
#> D3en1_61 1 1.000
#> D3en1_62 1 1.000
#> D3en1_64 3 0.000
#> D3en1_65 3 0.000
#> D3en1_66 3 0.000
#> D3en1_67 4 0.000
#> D3en1_70 1 0.000
#> D3en1_72 1 0.000
#> D3en1_74 1 1.000
#> D3en1_76 3 0.000
#> D3en1_77 1 0.000
#> D3en1_78 1 0.000
#> D3en1_79 4 0.000
#> D3en1_80 1 0.000
#> D3en1_81 1 0.000
#> D3en1_82 1 0.000
#> D3en1_83 3 0.000
#> D3en1_84 4 0.000
#> D3en1_85 3 0.000
#> D3en1_86 1 0.000
#> D3en1_89 4 0.000
#> D3en1_90 3 1.000
#> D3en1_91 3 0.502
#> D3en1_92 1 0.000
#> D3en1_93 2 0.000
#> D3en1_94 4 0.000
#> D3en1_95 1 1.000
#> D3en1_96 1 0.000
#> D3en2_1 3 0.000
#> D3en2_2 3 1.000
#> D3en2_3 4 0.000
#> D3en2_4 1 1.000
#> D3en2_7 4 0.000
#> D3en2_8 1 1.000
#> D3en2_9 3 0.000
#> D3en2_10 1 1.000
#> D3en2_11 3 0.000
#> D3en2_12 3 1.000
#> D3en2_13 3 0.000
#> D3en2_14 1 1.000
#> D3en2_15 1 1.000
#> D3en2_17 2 0.000
#> D3en2_18 1 0.000
#> D3en2_19 1 0.498
#> D3en2_20 1 0.751
#> D3en2_22 3 0.000
#> D3en2_24 3 0.502
#> D3en2_28 1 0.000
#> D3en2_29 3 0.000
#> D3en2_30 3 1.000
#> D3en2_34 1 1.000
#> D3en2_35 1 0.000
#> D3en2_36 1 0.000
#> D3en2_38 4 1.000
#> D3en2_40 1 0.000
#> D3en2_41 1 0.000
#> D3en2_43 1 1.000
#> D3en2_44 3 0.000
#> D3en2_46 1 0.000
#> D3en2_47 1 0.000
#> D3en2_49 1 0.000
#> D3en2_50 1 0.000
#> D3en2_51 1 0.000
#> D3en2_52 2 0.000
#> D3en2_53 3 0.000
#> D3en2_54 1 0.000
#> D3en2_55 3 0.751
#> D3en2_56 2 0.000
#> D3en2_57 4 0.000
#> D3en2_58 2 0.000
#> D3en2_59 1 0.747
#> D3en2_61 3 1.000
#> D3en2_62 4 0.000
#> D3en2_63 1 0.249
#> D3en2_64 4 0.000
#> D3en2_65 1 0.000
#> D3en2_67 1 1.000
#> D3en2_69 3 0.000
#> D3en2_70 3 0.000
#> D3en2_73 1 0.000
#> D3en2_75 1 1.000
#> D3en2_76 3 0.000
#> D3en2_77 3 0.000
#> D3en2_78 3 1.000
#> D3en2_79 1 1.000
#> D3en2_80 1 0.000
#> D3en2_81 3 0.000
#> D3en2_82 3 0.000
#> D3en2_83 3 0.249
#> D3en2_84 1 1.000
#> D3en2_85 4 0.000
#> D3en2_86 1 0.000
#> D3en2_87 1 0.000
#> D3en2_88 3 0.000
#> D3en2_89 3 0.000
#> D3en2_91 4 0.000
#> D3en2_92 4 0.000
#> D3en2_93 4 0.000
#> D3en2_94 1 0.000
#> D3en2_95 1 0.000
#> D3en2_96 1 0.000
#> D3en3_1 4 0.000
#> D3en3_3 1 0.000
#> D3en3_4 1 0.751
#> D3en3_5 4 1.000
#> D3en3_6 4 0.000
#> D3en3_7 3 0.747
#> D3en3_8 3 1.000
#> D3en3_10 4 1.000
#> D3en3_11 4 0.000
#> D3en3_12 1 0.000
#> D3en3_13 1 0.253
#> D3en3_14 1 1.000
#> D3en3_15 3 0.000
#> D3en3_16 3 0.751
#> D3en3_17 3 1.000
#> D3en3_18 1 0.000
#> D3en3_19 1 0.000
#> D3en3_20 1 0.000
#> D3en3_21 4 0.000
#> D3en3_22 1 0.000
#> D3en3_23 1 1.000
#> D3en3_24 3 0.000
#> D3en3_25 1 0.000
#> D3en3_26 1 0.000
#> D3en3_27 3 0.000
#> D3en3_28 4 1.000
#> D3en3_29 2 0.000
#> D3en3_30 3 0.751
#> D3en3_31 1 1.000
#> D3en3_32 4 0.000
#> D3en3_33 1 0.000
#> D3en3_34 1 1.000
#> D3en3_35 1 0.000
#> D3en3_36 4 0.000
#> D3en3_37 1 1.000
#> D3en3_38 1 1.000
#> D3en3_40 1 0.000
#> D3en3_41 3 0.000
#> D3en3_42 1 0.000
#> D3en3_43 1 0.000
#> D3en3_44 4 0.000
#> D3en3_45 3 0.000
#> D3en3_47 1 0.498
#> D3en3_48 3 0.249
#> D3en3_49 3 1.000
#> D3en3_50 4 0.000
#> D3en3_52 4 0.000
#> D3en3_53 4 0.000
#> D3en3_54 2 0.000
#> D3en3_55 3 0.000
#> D3en3_56 1 0.751
#> D3en3_57 1 0.751
#> D3en3_58 1 0.249
#> D3en3_59 4 0.000
#> D3en3_60 1 0.000
#> D3en3_61 1 1.000
#> D3en3_62 1 1.000
#> D3en3_63 1 0.000
#> D3en3_65 2 0.000
#> D3en3_66 1 0.000
#> D3en3_67 3 0.000
#> D3en3_69 1 1.000
#> D3en3_70 1 0.000
#> D3en3_71 3 0.253
#> D3en3_73 3 0.249
#> D3en3_74 1 1.000
#> D3en3_75 2 0.000
#> D3en3_76 1 0.000
#> D3en3_77 1 0.000
#> D3en3_78 1 0.000
#> D3en3_79 1 0.000
#> D3en3_80 1 0.000
#> D3en3_81 1 0.000
#> D3en3_82 1 0.000
#> D3en3_83 1 0.000
#> D3en3_84 1 0.000
#> D3en3_85 3 1.000
#> D3en3_86 4 0.000
#> D3en3_88 1 0.249
#> D3en3_89 4 0.000
#> D3en3_90 1 1.000
#> D3en3_91 3 0.000
#> D3en3_92 3 0.000
#> D3en3_93 1 0.000
#> D3en3_94 3 0.751
#> D3en3_95 3 0.000
#> D3en3_96 3 0.000
#> D3en4_1 1 0.000
#> D3en4_2 3 0.751
#> D3en4_3 4 0.000
#> D3en4_4 3 1.000
#> D3en4_5 1 0.000
#> D3en4_10 1 0.000
#> D3en4_11 1 0.000
#> D3en4_13 3 0.498
#> D3en4_15 3 0.000
#> D3en4_16 3 0.000
#> D3en4_17 3 0.000
#> D3en4_18 3 0.000
#> D3en4_19 4 0.000
#> D3en4_21 3 0.000
#> D3en4_22 2 0.000
#> D3en4_24 3 0.000
#> D3en4_27 3 0.000
#> D3en4_28 3 0.000
#> D3en4_29 1 0.000
#> D3en4_33 2 0.000
#> D3en4_34 3 1.000
#> D3en4_36 1 0.000
#> D3en4_37 3 0.498
#> D3en4_38 4 0.000
#> D3en4_40 3 0.000
#> D3en4_43 4 0.000
#> D3en4_44 3 0.000
#> D3en4_45 1 0.000
#> D3en4_49 3 0.000
#> D3en4_50 3 0.000
#> D3en4_51 3 0.000
#> D3en4_52 3 0.000
#> D3en4_53 1 0.253
#> D3en4_55 1 0.000
#> D3en4_57 3 0.000
#> D3en4_58 4 0.747
#> D3en4_59 1 0.000
#> D3en4_62 1 0.000
#> D3en4_66 3 0.000
#> D3en4_67 3 0.000
#> D3en4_70 1 0.000
#> D3en4_75 1 0.000
#> D3en4_76 1 0.000
#> D3en4_77 1 0.000
#> D3en4_78 1 1.000
#> D3en4_79 1 0.000
#> D3en4_80 1 1.000
#> D3en4_81 1 0.000
#> D3en4_82 1 0.000
#> D3en4_84 3 0.000
#> D3en4_85 4 0.000
#> D3en4_86 3 0.000
#> D3en4_88 3 0.000
#> D3en4_89 4 0.000
#> D3en4_90 1 0.000
#> D3en4_93 3 0.000
#> D3en4_94 3 1.000
#> D3en4_95 3 0.000
#> D3en4_96 1 0.000
#> D3ex_1 1 0.000
#> D3ex_2 3 0.000
#> D3ex_3 4 0.000
#> D3ex_4 3 0.000
#> D3ex_7 1 0.000
#> D3ex_8 1 0.000
#> D3ex_10 1 1.000
#> D3ex_11 1 0.000
#> D3ex_12 4 0.000
#> D3ex_13 1 0.000
#> D3ex_14 1 0.000
#> D3ex_15 1 0.000
#> D3ex_16 1 1.000
#> D3ex_17 3 0.000
#> D3ex_18 1 0.000
#> D3ex_19 1 0.000
#> D3ex_20 1 0.000
#> D3ex_21 1 0.000
#> D3ex_22 1 0.000
#> D3ex_23 1 0.000
#> D3ex_24 1 0.502
#> D3ex_25 1 0.000
#> D3ex_26 1 1.000
#> D3ex_27 1 0.000
#> D3ex_28 1 0.000
#> D3ex_29 1 0.000
#> D3ex_30 1 0.000
#> D3ex_31 1 0.000
#> D3ex_32 1 0.000
#> D3ex_33 1 0.000
#> D3ex_35 1 1.000
#> D3ex_37 1 0.000
#> D3ex_38 3 0.000
#> D3ex_39 3 0.000
#> D3ex_40 3 0.000
#> D3ex_41 2 0.000
#> D3ex_42 1 0.000
#> D3ex_43 1 0.000
#> D3ex_44 1 0.000
#> D3ex_45 1 0.000
#> D3ex_46 1 0.000
#> D3ex_47 1 1.000
#> D3ex_48 2 0.000
#> D3ex_49 1 0.000
#> D3ex_50 1 0.000
#> D3ex_51 3 0.000
#> D3ex_52 1 0.000
#> D3ex_53 1 0.000
#> D3ex_54 1 0.000
#> D3ex_55 4 0.000
#> D3ex_56 1 0.000
#> D3ex_57 1 0.000
#> D3ex_58 1 0.000
#> D3ex_59 3 0.000
#> D3ex_60 1 0.000
#> D3ex_61 1 0.000
#> D3ex_62 1 0.000
#> D3ex_63 1 0.000
#> D3ex_64 3 1.000
#> D3ex_65 1 0.000
#> D3ex_66 2 0.000
#> D3ex_67 3 0.000
#> D3ex_68 4 0.000
#> D3ex_69 3 0.000
#> D3ex_70 1 0.000
#> D3ex_72 1 0.000
#> D3ex_73 1 0.000
#> D3ex_75 3 0.000
#> D3ex_77 2 0.000
#> D3ex_78 1 0.000
#> D3ex_79 3 0.000
#> D3ex_80 1 0.000
#> D3ex_81 1 0.000
#> D3ex_82 3 0.000
#> D3ex_84 1 0.000
#> D3ex_85 1 0.000
#> D3ex_86 1 0.000
#> D3ex_87 1 0.000
#> D3ex_88 2 0.000
#> D3ex_89 1 0.000
#> D3ex_90 3 0.000
#> D3ex_92 4 0.000
#> D3ex_93 1 0.000
#> D3ex_94 1 0.000
#> D3ex_95 1 0.000
#> D3ex_96 1 0.000
#> D74_4 1 0.000
#> D74_11 3 0.000
#> D74_12 2 0.249
#> D74_19 3 0.000
#> D74_21 2 0.000
#> D74_26 4 0.000
#> D74_28 4 0.000
#> D74_30 1 0.000
#> D74_38 1 0.000
#> D74_48 1 0.000
#> D74_50 1 0.000
#> D74_59 2 0.000
#> D74_64 2 0.000
#> D74_72 1 0.000
#> D74_73 4 0.000
#> D74_74 4 0.000
#> D74_80 1 0.249
#> D74_84 1 0.000
#> D74_89 3 1.000
#> D74_96 1 0.000
#> D71_1 4 0.000
#> D71_7 2 0.000
#> D71_8 3 0.498
#> D71_11 4 0.000
#> D71_13 1 0.000
#> D71_17 2 0.000
#> D71_24 1 0.000
#> D71_25 1 0.751
#> D71_26 2 0.000
#> D71_28 4 0.000
#> D71_32 2 0.000
#> D71_36 2 0.000
#> D71_38 2 0.000
#> D71_44 4 0.000
#> D71_45 4 0.000
#> D71_46 1 0.000
#> D71_47 2 0.000
#> D71_49 2 0.000
#> D71_50 1 0.000
#> D71_51 2 0.000
#> D71_59 2 0.000
#> D71_60 4 0.000
#> D71_63 2 0.000
#> D71_73 4 0.000
#> D71_74 1 0.000
#> D71_77 1 0.000
#> D71_84 2 0.000
#> D71_88 2 0.000
#> D71_89 1 0.000
#> D71_90 2 0.000
#> D71_93 2 0.000
#> D71_96 1 0.000
#> D72_2 2 0.253
#> D72_3 4 0.000
#> D72_5 2 0.000
#> D72_6 1 0.000
#> D72_7 3 1.000
#> D72_8 2 0.000
#> D72_9 2 0.000
#> D72_10 2 0.000
#> D72_11 3 1.000
#> D72_12 3 1.000
#> D72_13 4 0.000
#> D72_14 3 0.000
#> D72_15 4 0.000
#> D72_16 2 0.000
#> D72_17 1 0.000
#> D72_19 1 0.000
#> D72_20 2 0.000
#> D72_21 2 0.000
#> D72_23 4 0.000
#> D72_24 1 1.000
#> D72_25 4 0.000
#> D72_26 1 0.000
#> D72_27 4 0.000
#> D72_28 4 0.000
#> D72_29 2 0.000
#> D72_30 2 0.000
#> D72_32 4 0.000
#> D72_34 4 0.000
#> D72_35 4 0.000
#> D72_36 2 0.000
#> D72_38 2 0.000
#> D72_39 2 0.000
#> D72_40 4 0.000
#> D72_41 2 0.000
#> D72_42 2 0.000
#> D72_44 2 1.000
#> D72_45 2 0.000
#> D72_46 4 0.000
#> D72_47 2 0.000
#> D72_48 2 0.000
#> D72_50 4 0.000
#> D72_51 1 0.000
#> D72_52 4 0.000
#> D72_54 2 0.000
#> D72_55 2 0.000
#> D72_56 1 0.000
#> D72_57 2 0.000
#> D72_58 3 0.000
#> D72_59 2 0.000
#> D72_60 1 0.000
#> D72_62 4 0.000
#> D72_63 4 0.502
#> D72_64 2 0.000
#> D72_70 2 0.000
#> D72_71 2 0.000
#> D72_73 1 1.000
#> D72_74 2 0.000
#> D72_75 2 0.000
#> D72_77 2 0.000
#> D72_79 2 0.000
#> D72_80 4 0.000
#> D72_83 4 0.000
#> D72_84 2 0.000
#> D72_85 2 0.000
#> D72_87 2 0.000
#> D72_89 3 1.000
#> D72_90 4 0.000
#> D72_92 2 0.000
#> D72_94 1 0.000
#> D73_7 2 0.000
#> D73_13 4 0.000
#> D73_15 3 0.000
#> D73_20 2 0.000
#> D73_30 2 0.000
#> D73_36 2 0.000
#> D73_38 2 0.000
#> D73_44 2 0.000
#> D73_45 2 0.000
#> D73_47 1 0.000
#> D73_49 4 0.000
#> D73_50 4 0.000
#> D73_53 1 0.000
#> D73_66 1 0.000
#> D73_74 1 0.000
#> D73_75 1 0.000
#> D73_77 1 0.000
#> D73_80 1 0.000
#> D73_88 1 0.000
#> D73_89 4 0.000
#> D73_90 2 0.000
#> D73_93 1 0.000
#> D73_94 1 0.000
#> D73_95 1 0.000
#> D10631_1 1 0.000
#> D10631_2 4 0.000
#> D10631_3 4 0.000
#> D10631_4 1 0.000
#> D10631_5 1 0.000
#> D10631_6 1 0.000
#> D10631_7 1 0.502
#> D10631_8 1 0.000
#> D10631_9 1 0.000
#> D10631_10 4 0.000
#> D10631_11 1 0.249
#> D10631_12 3 0.502
#> D10631_13 1 0.000
#> D10631_14 3 0.000
#> D10631_16 1 0.000
#> D10631_18 1 0.000
#> D10631_19 1 0.000
#> D10631_20 1 0.000
#> D10631_21 3 1.000
#> D10631_22 1 0.000
#> D10631_23 1 0.000
#> D10631_25 1 0.000
#> D10631_26 4 0.000
#> D10631_27 3 0.000
#> D10631_28 1 0.000
#> D10631_30 1 0.000
#> D10631_31 1 0.000
#> D10631_32 1 0.000
#> D10631_33 4 0.000
#> D10631_34 3 0.000
#> D10631_35 1 0.000
#> D10631_36 1 0.000
#> D10631_37 1 0.000
#> D10631_38 4 0.000
#> D10631_39 1 0.000
#> D10631_40 4 0.000
#> D10631_41 1 0.000
#> D10631_42 1 0.000
#> D10631_43 1 0.000
#> D10631_44 1 0.000
#> D10631_46 3 0.000
#> D10631_47 1 0.000
#> D10631_49 1 0.000
#> D10631_50 4 0.000
#> D10631_51 3 1.000
#> D10631_52 3 0.000
#> D10631_55 1 0.000
#> D10631_58 1 0.000
#> D10631_59 1 0.000
#> D10631_60 1 0.000
#> D10631_62 1 0.000
#> D10631_64 1 0.000
#> D10631_71 3 0.751
#> D10631_72 1 0.000
#> D10631_73 1 0.000
#> D10631_74 1 0.000
#> D10631_75 1 0.000
#> D10631_77 1 0.000
#> D10631_78 1 0.000
#> D10631_79 1 0.000
#> D10631_80 1 0.000
#> D10631_81 1 0.000
#> D10631_82 1 0.000
#> D10631_83 1 0.000
#> D10631_84 1 0.000
#> D10631_86 1 0.000
#> D10631_87 1 0.000
#> D10631_88 4 0.000
#> D10631_89 1 0.000
#> D10631_93 1 0.000
#> D10631_94 1 0.000
#> D101_1 2 0.502
#> D101_2 1 0.000
#> D101_3 1 0.000
#> D101_4 1 0.000
#> D101_5 2 0.000
#> D101_6 1 0.000
#> D101_8 1 0.000
#> D101_9 1 0.000
#> D101_11 1 0.000
#> D101_12 1 0.751
#> D101_15 1 0.000
#> D101_16 3 0.000
#> D101_18 1 0.000
#> D101_19 1 0.000
#> D101_20 1 0.000
#> D101_23 1 0.000
#> D101_26 1 0.000
#> D101_28 2 0.000
#> D101_30 1 0.000
#> D101_32 1 0.000
#> D101_33 1 0.000
#> D101_34 3 0.000
#> D101_36 3 0.000
#> D101_38 3 1.000
#> D101_39 1 0.000
#> D101_40 1 0.000
#> D101_41 1 0.000
#> D101_42 1 0.498
#> D101_44 1 0.000
#> D101_45 3 0.000
#> D101_46 1 0.000
#> D101_47 1 0.000
#> D101_49 1 0.000
#> D101_54 1 0.000
#> D101_55 1 0.000
#> D101_56 3 0.498
#> D101_57 1 0.000
#> D101_58 1 0.000
#> D101_59 3 0.000
#> D101_60 1 0.000
#> D101_61 1 0.000
#> D101_62 1 0.000
#> D101_63 1 0.000
#> D101_64 1 0.000
#> D101_65 1 0.000
#> D101_67 1 0.000
#> D101_68 1 1.000
#> D101_70 1 0.000
#> D101_71 1 0.000
#> D101_73 2 0.000
#> D101_75 1 0.000
#> D101_76 1 0.000
#> D101_77 3 0.000
#> D101_78 1 0.751
#> D101_79 1 0.000
#> D101_80 1 0.000
#> D101_83 3 1.000
#> D101_85 1 0.000
#> D101_86 3 0.751
#> D101_87 1 0.000
#> D101_88 1 0.000
#> D101_89 2 0.000
#> D101_90 1 0.000
#> D101_91 4 0.000
#> D101_92 1 0.000
#> D101_94 1 0.000
#> D101_96 1 0.000
#> D102_2 1 0.000
#> D102_3 4 0.000
#> D102_5 1 0.000
#> D102_6 3 0.000
#> D102_8 1 0.000
#> D102_9 1 0.000
#> D102_10 1 0.000
#> D102_12 1 0.000
#> D102_13 1 0.000
#> D102_14 3 0.000
#> D102_15 1 0.000
#> D102_16 1 0.000
#> D102_19 1 0.000
#> D102_20 1 0.000
#> D102_22 1 0.498
#> D102_23 1 0.000
#> D102_27 1 0.000
#> D102_28 1 0.000
#> D102_29 1 0.000
#> D102_30 1 0.000
#> D102_31 1 0.000
#> D102_32 1 0.000
#> D102_33 1 0.000
#> D102_34 1 0.000
#> D102_35 1 0.000
#> D102_36 1 0.000
#> D102_37 1 0.000
#> D102_38 1 0.000
#> D102_40 2 0.000
#> D102_41 1 0.000
#> D102_42 1 0.000
#> D102_43 1 0.000
#> D102_44 1 0.000
#> D102_46 1 0.000
#> D102_47 1 0.000
#> D102_48 1 0.000
#> D102_49 1 0.000
#> D102_52 1 0.000
#> D102_53 1 0.000
#> D102_56 1 0.000
#> D102_57 3 0.498
#> D102_60 1 0.000
#> D102_62 1 0.000
#> D102_65 1 0.000
#> D102_67 1 0.000
#> D102_70 1 0.000
#> D102_72 1 0.000
#> D102_74 1 0.000
#> D102_75 1 0.000
#> D102_77 1 0.000
#> D102_80 1 0.000
#> D102_81 1 0.000
#> D102_82 1 0.000
#> D102_83 1 0.000
#> D102_84 1 0.000
#> D102_85 1 0.000
#> D102_86 1 0.000
#> D102_88 1 0.000
#> D102_89 1 0.000
#> D102_90 3 0.498
#> D102_92 1 0.000
#> D102_94 2 0.000
#> D102_95 1 0.000
#> D1713_6 4 0.000
#> D1713_7 3 0.498
#> D1713_18 2 0.253
#> D1713_24 4 0.000
#> D1713_36 3 0.000
#> D1713_37 4 0.000
#> D1713_39 3 0.000
#> D1713_44 1 0.249
#> D1713_45 3 0.502
#> D1713_60 3 0.000
#> D1713_78 4 0.000
#> D1713_96 2 0.000
#> D172444_2 2 0.000
#> D172444_3 2 0.000
#> D172444_4 2 0.000
#> D172444_5 1 0.000
#> D172444_6 1 0.000
#> D172444_7 3 0.249
#> D172444_10 2 0.000
#> D172444_11 2 0.000
#> D172444_12 2 0.000
#> D172444_14 2 0.000
#> D172444_15 4 0.000
#> D172444_16 4 0.000
#> D172444_17 2 0.000
#> D172444_20 2 0.000
#> D172444_22 2 0.000
#> D172444_23 2 0.000
#> D172444_24 2 0.000
#> D172444_25 2 0.000
#> D172444_26 2 0.000
#> D172444_27 2 0.000
#> D172444_28 2 0.000
#> D172444_30 2 0.000
#> D172444_31 2 0.000
#> D172444_33 2 0.000
#> D172444_34 2 0.000
#> D172444_35 2 0.000
#> D172444_40 1 0.000
#> D172444_41 2 0.000
#> D172444_44 3 1.000
#> D172444_45 1 1.000
#> D172444_46 2 0.000
#> D172444_50 2 0.000
#> D172444_52 2 0.000
#> D172444_53 2 0.000
#> D172444_58 2 0.000
#> D172444_59 4 0.000
#> D172444_61 2 0.000
#> D172444_63 2 0.000
#> D172444_64 2 0.000
#> D172444_68 2 0.000
#> D172444_69 2 0.000
#> D172444_70 2 0.000
#> D172444_74 2 0.000
#> D172444_75 2 0.000
#> D172444_80 2 0.000
#> D172444_82 2 0.000
#> D172444_84 2 0.000
#> D172444_88 2 0.000
#> D172444_89 4 0.000
#> D172444_90 2 0.000
#> D172444_92 2 0.000
#> D172444_94 1 0.000
#> D172444_95 1 0.000
#> D172444_96 1 0.000
#> D17All1_13 1 0.000
#> D17All1_14 1 0.000
#> D17All1_15 1 0.000
#> D17All1_17 1 0.000
#> D17All1_21 1 0.000
#> D17All1_34 2 0.000
#> D17All1_67 2 0.000
#> D17All1_85 1 0.000
#> D17All1_94 1 0.000
#> D17All2_5 1 0.000
#> D17All2_25 2 0.751
#> D17All2_31 2 0.000
#> D17All2_32 2 0.000
#> D17All2_33 2 0.253
#> D17All2_35 2 0.249
#> D17All2_42 3 0.751
#> D17All2_50 1 0.000
#> D17All2_51 4 0.249
#> D17All2_60 3 0.502
#> D17All2_67 4 0.000
#> D17All2_73 2 0.000
#> D17All2_75 1 0.000
#> D17All2_82 2 0.000
#> D17All2_89 1 0.000
#> D17All2_96 1 0.000
#> D17TGFB_16 2 0.000
#> D17TGFB_18 1 0.000
#> D17TGFB_25 4 0.000
#> D17TGFB_26 4 0.000
#> D17TGFB_28 4 0.000
#> D17TGFB_30 2 0.000
#> D17TGFB_32 4 0.000
#> D17TGFB_40 2 0.000
#> D17TGFB_42 2 1.000
#> D17TGFB_46 3 0.498
#> D17TGFB_50 2 0.000
#> D17TGFB_60 1 0.000
#> D17TGFB_62 1 0.000
#> D17TGFB_84 4 0.000
#> D17TGFB_96 1 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 600 7.82e-20 2
#> ATC:skmeans 601 1.77e-56 3
#> ATC:skmeans 718 1.86e-62 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node01. Child nodes: Node0111-leaf , Node0112 , Node0121-leaf , Node0122-leaf , Node0123-leaf , Node0131-leaf , Node0132 , Node0211 , Node0212 , Node0221 , Node0222 , Node0223-leaf , Node0231-leaf , Node0232 , Node0233 .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["011"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 6241 rows and 435 columns.
#> Top rows (624) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.978 0.991 0.406 0.593 0.593
#> 3 3 0.840 0.877 0.945 0.234 0.912 0.852
#> 4 4 0.731 0.748 0.888 0.157 0.909 0.826
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_45 1 0.000 0.995 1.00 0.00
#> D2ex_54 1 0.000 0.995 1.00 0.00
#> D2ex_63 2 0.000 0.981 0.00 1.00
#> D2ex_64 1 0.000 0.995 1.00 0.00
#> D2ex_65 1 0.000 0.995 1.00 0.00
#> D2ex_80 2 0.000 0.981 0.00 1.00
#> D2ex_93 2 0.000 0.981 0.00 1.00
#> D2ex_94 1 0.000 0.995 1.00 0.00
#> D2ex_95 1 0.000 0.995 1.00 0.00
#> D2ex_96 1 0.000 0.995 1.00 0.00
#> D3en1_12 1 0.000 0.995 1.00 0.00
#> D3en1_14 2 0.000 0.981 0.00 1.00
#> D3en1_15 1 0.000 0.995 1.00 0.00
#> D3en1_16 2 0.000 0.981 0.00 1.00
#> D3en1_18 2 0.000 0.981 0.00 1.00
#> D3en1_19 2 0.000 0.981 0.00 1.00
#> D3en1_20 1 0.000 0.995 1.00 0.00
#> D3en1_23 1 0.000 0.995 1.00 0.00
#> D3en1_31 1 0.000 0.995 1.00 0.00
#> D3en1_32 1 0.000 0.995 1.00 0.00
#> D3en1_34 2 0.000 0.981 0.00 1.00
#> D3en1_35 1 0.000 0.995 1.00 0.00
#> D3en1_36 1 0.000 0.995 1.00 0.00
#> D3en1_39 1 0.000 0.995 1.00 0.00
#> D3en1_40 1 0.000 0.995 1.00 0.00
#> D3en1_42 2 0.000 0.981 0.00 1.00
#> D3en1_46 2 0.000 0.981 0.00 1.00
#> D3en1_52 1 0.000 0.995 1.00 0.00
#> D3en1_57 1 0.000 0.995 1.00 0.00
#> D3en1_58 1 0.000 0.995 1.00 0.00
#> D3en1_61 1 0.000 0.995 1.00 0.00
#> D3en1_62 1 0.000 0.995 1.00 0.00
#> D3en1_70 1 0.000 0.995 1.00 0.00
#> D3en1_72 1 0.000 0.995 1.00 0.00
#> D3en1_74 1 0.000 0.995 1.00 0.00
#> D3en1_77 1 0.000 0.995 1.00 0.00
#> D3en1_78 1 0.000 0.995 1.00 0.00
#> D3en1_80 1 0.000 0.995 1.00 0.00
#> D3en1_81 2 0.000 0.981 0.00 1.00
#> D3en1_82 1 0.000 0.995 1.00 0.00
#> D3en1_86 1 0.000 0.995 1.00 0.00
#> D3en1_92 2 0.000 0.981 0.00 1.00
#> D3en1_95 2 0.402 0.905 0.08 0.92
#> D3en1_96 1 0.000 0.995 1.00 0.00
#> D3en2_4 1 0.000 0.995 1.00 0.00
#> D3en2_8 2 0.000 0.981 0.00 1.00
#> D3en2_10 1 0.000 0.995 1.00 0.00
#> D3en2_14 1 0.000 0.995 1.00 0.00
#> D3en2_15 1 0.000 0.995 1.00 0.00
#> D3en2_18 1 0.000 0.995 1.00 0.00
#> D3en2_19 1 0.000 0.995 1.00 0.00
#> D3en2_20 1 0.000 0.995 1.00 0.00
#> D3en2_28 1 0.000 0.995 1.00 0.00
#> D3en2_34 1 0.000 0.995 1.00 0.00
#> D3en2_35 1 0.000 0.995 1.00 0.00
#> D3en2_36 1 0.000 0.995 1.00 0.00
#> D3en2_40 1 0.000 0.995 1.00 0.00
#> D3en2_41 1 0.000 0.995 1.00 0.00
#> D3en2_43 1 0.000 0.995 1.00 0.00
#> D3en2_46 1 0.000 0.995 1.00 0.00
#> D3en2_47 1 0.000 0.995 1.00 0.00
#> D3en2_49 2 0.000 0.981 0.00 1.00
#> D3en2_50 2 0.000 0.981 0.00 1.00
#> D3en2_51 1 0.000 0.995 1.00 0.00
#> D3en2_54 1 0.000 0.995 1.00 0.00
#> D3en2_59 1 0.584 0.835 0.86 0.14
#> D3en2_63 1 0.000 0.995 1.00 0.00
#> D3en2_65 2 0.943 0.457 0.36 0.64
#> D3en2_67 1 0.000 0.995 1.00 0.00
#> D3en2_73 2 0.000 0.981 0.00 1.00
#> D3en2_75 1 0.000 0.995 1.00 0.00
#> D3en2_78 1 0.000 0.995 1.00 0.00
#> D3en2_79 1 0.000 0.995 1.00 0.00
#> D3en2_80 1 0.000 0.995 1.00 0.00
#> D3en2_84 2 0.000 0.981 0.00 1.00
#> D3en2_86 1 0.000 0.995 1.00 0.00
#> D3en2_87 1 0.000 0.995 1.00 0.00
#> D3en2_94 1 0.000 0.995 1.00 0.00
#> D3en2_95 1 0.000 0.995 1.00 0.00
#> D3en2_96 2 0.000 0.981 0.00 1.00
#> D3en3_3 2 0.000 0.981 0.00 1.00
#> D3en3_4 1 0.000 0.995 1.00 0.00
#> D3en3_8 1 0.000 0.995 1.00 0.00
#> D3en3_12 1 0.000 0.995 1.00 0.00
#> D3en3_13 1 0.000 0.995 1.00 0.00
#> D3en3_14 1 0.000 0.995 1.00 0.00
#> D3en3_17 1 0.000 0.995 1.00 0.00
#> D3en3_18 1 0.000 0.995 1.00 0.00
#> D3en3_19 1 0.000 0.995 1.00 0.00
#> D3en3_20 1 0.000 0.995 1.00 0.00
#> D3en3_22 1 0.000 0.995 1.00 0.00
#> D3en3_23 1 0.000 0.995 1.00 0.00
#> D3en3_25 1 0.000 0.995 1.00 0.00
#> D3en3_26 1 0.000 0.995 1.00 0.00
#> D3en3_31 1 0.000 0.995 1.00 0.00
#> D3en3_33 1 0.000 0.995 1.00 0.00
#> D3en3_34 1 0.000 0.995 1.00 0.00
#> D3en3_35 1 0.000 0.995 1.00 0.00
#> D3en3_37 1 0.000 0.995 1.00 0.00
#> D3en3_38 1 0.000 0.995 1.00 0.00
#> D3en3_40 1 0.000 0.995 1.00 0.00
#> D3en3_42 1 0.000 0.995 1.00 0.00
#> D3en3_43 1 0.000 0.995 1.00 0.00
#> D3en3_47 1 0.000 0.995 1.00 0.00
#> D3en3_56 1 0.000 0.995 1.00 0.00
#> D3en3_57 1 0.000 0.995 1.00 0.00
#> D3en3_58 2 0.000 0.981 0.00 1.00
#> D3en3_60 1 0.000 0.995 1.00 0.00
#> D3en3_61 1 0.000 0.995 1.00 0.00
#> D3en3_62 1 0.000 0.995 1.00 0.00
#> D3en3_63 1 0.000 0.995 1.00 0.00
#> D3en3_66 1 0.000 0.995 1.00 0.00
#> D3en3_69 1 0.000 0.995 1.00 0.00
#> D3en3_70 1 0.000 0.995 1.00 0.00
#> D3en3_74 1 0.000 0.995 1.00 0.00
#> D3en3_76 1 0.000 0.995 1.00 0.00
#> D3en3_77 1 0.000 0.995 1.00 0.00
#> D3en3_78 1 0.000 0.995 1.00 0.00
#> D3en3_79 1 0.000 0.995 1.00 0.00
#> D3en3_80 1 0.000 0.995 1.00 0.00
#> D3en3_81 1 0.000 0.995 1.00 0.00
#> D3en3_82 1 0.000 0.995 1.00 0.00
#> D3en3_83 1 0.000 0.995 1.00 0.00
#> D3en3_84 1 0.000 0.995 1.00 0.00
#> D3en3_88 1 0.000 0.995 1.00 0.00
#> D3en3_90 1 0.000 0.995 1.00 0.00
#> D3en3_93 1 0.000 0.995 1.00 0.00
#> D3en4_1 2 0.000 0.981 0.00 1.00
#> D3en4_2 2 0.000 0.981 0.00 1.00
#> D3en4_5 2 0.242 0.945 0.04 0.96
#> D3en4_10 2 0.000 0.981 0.00 1.00
#> D3en4_11 2 0.000 0.981 0.00 1.00
#> D3en4_29 2 0.000 0.981 0.00 1.00
#> D3en4_36 2 0.827 0.660 0.26 0.74
#> D3en4_37 2 0.000 0.981 0.00 1.00
#> D3en4_45 1 0.000 0.995 1.00 0.00
#> D3en4_53 2 0.000 0.981 0.00 1.00
#> D3en4_55 1 0.000 0.995 1.00 0.00
#> D3en4_57 1 0.000 0.995 1.00 0.00
#> D3en4_59 1 0.000 0.995 1.00 0.00
#> D3en4_62 2 0.000 0.981 0.00 1.00
#> D3en4_70 1 0.000 0.995 1.00 0.00
#> D3en4_75 1 0.000 0.995 1.00 0.00
#> D3en4_76 1 0.242 0.955 0.96 0.04
#> D3en4_77 1 0.000 0.995 1.00 0.00
#> D3en4_78 1 0.000 0.995 1.00 0.00
#> D3en4_79 2 0.000 0.981 0.00 1.00
#> D3en4_80 1 0.000 0.995 1.00 0.00
#> D3en4_81 1 0.000 0.995 1.00 0.00
#> D3en4_82 1 0.000 0.995 1.00 0.00
#> D3en4_90 1 0.000 0.995 1.00 0.00
#> D3en4_96 1 0.000 0.995 1.00 0.00
#> D3ex_1 1 0.000 0.995 1.00 0.00
#> D3ex_7 1 0.000 0.995 1.00 0.00
#> D3ex_8 1 0.000 0.995 1.00 0.00
#> D3ex_10 1 0.000 0.995 1.00 0.00
#> D3ex_11 1 0.000 0.995 1.00 0.00
#> D3ex_13 1 0.000 0.995 1.00 0.00
#> D3ex_14 1 0.000 0.995 1.00 0.00
#> D3ex_15 1 0.000 0.995 1.00 0.00
#> D3ex_16 1 0.000 0.995 1.00 0.00
#> D3ex_18 1 0.000 0.995 1.00 0.00
#> D3ex_19 1 0.000 0.995 1.00 0.00
#> D3ex_20 1 0.000 0.995 1.00 0.00
#> D3ex_21 1 0.000 0.995 1.00 0.00
#> D3ex_22 1 0.000 0.995 1.00 0.00
#> D3ex_23 1 0.000 0.995 1.00 0.00
#> D3ex_24 1 0.000 0.995 1.00 0.00
#> D3ex_25 1 0.000 0.995 1.00 0.00
#> D3ex_26 1 0.000 0.995 1.00 0.00
#> D3ex_27 1 0.000 0.995 1.00 0.00
#> D3ex_28 1 0.634 0.808 0.84 0.16
#> D3ex_29 1 0.000 0.995 1.00 0.00
#> D3ex_30 1 0.000 0.995 1.00 0.00
#> D3ex_31 1 0.000 0.995 1.00 0.00
#> D3ex_32 1 0.855 0.604 0.72 0.28
#> D3ex_33 1 0.000 0.995 1.00 0.00
#> D3ex_35 1 0.000 0.995 1.00 0.00
#> D3ex_37 1 0.000 0.995 1.00 0.00
#> D3ex_42 2 0.000 0.981 0.00 1.00
#> D3ex_43 1 0.000 0.995 1.00 0.00
#> D3ex_44 1 0.000 0.995 1.00 0.00
#> D3ex_45 1 0.000 0.995 1.00 0.00
#> D3ex_46 1 0.000 0.995 1.00 0.00
#> D3ex_47 1 0.000 0.995 1.00 0.00
#> D3ex_49 1 0.000 0.995 1.00 0.00
#> D3ex_50 1 0.000 0.995 1.00 0.00
#> D3ex_52 1 0.000 0.995 1.00 0.00
#> D3ex_53 1 0.000 0.995 1.00 0.00
#> D3ex_54 1 0.000 0.995 1.00 0.00
#> D3ex_56 1 0.000 0.995 1.00 0.00
#> D3ex_57 1 0.000 0.995 1.00 0.00
#> D3ex_58 2 0.000 0.981 0.00 1.00
#> D3ex_60 1 0.000 0.995 1.00 0.00
#> D3ex_61 1 0.000 0.995 1.00 0.00
#> D3ex_62 1 0.000 0.995 1.00 0.00
#> D3ex_63 1 0.000 0.995 1.00 0.00
#> D3ex_65 1 0.000 0.995 1.00 0.00
#> D3ex_70 2 0.000 0.981 0.00 1.00
#> D3ex_72 2 0.000 0.981 0.00 1.00
#> D3ex_73 1 0.680 0.778 0.82 0.18
#> D3ex_78 1 0.000 0.995 1.00 0.00
#> D3ex_80 2 0.000 0.981 0.00 1.00
#> D3ex_81 1 0.000 0.995 1.00 0.00
#> D3ex_84 1 0.000 0.995 1.00 0.00
#> D3ex_85 1 0.000 0.995 1.00 0.00
#> D3ex_86 1 0.000 0.995 1.00 0.00
#> D3ex_87 2 0.000 0.981 0.00 1.00
#> D3ex_89 1 0.000 0.995 1.00 0.00
#> D3ex_93 1 0.000 0.995 1.00 0.00
#> D3ex_94 1 0.000 0.995 1.00 0.00
#> D3ex_95 1 0.000 0.995 1.00 0.00
#> D3ex_96 1 0.000 0.995 1.00 0.00
#> D74_4 2 0.000 0.981 0.00 1.00
#> D74_30 1 0.000 0.995 1.00 0.00
#> D74_38 2 0.000 0.981 0.00 1.00
#> D74_48 1 0.000 0.995 1.00 0.00
#> D74_50 1 0.680 0.778 0.82 0.18
#> D74_72 1 0.000 0.995 1.00 0.00
#> D74_80 2 0.000 0.981 0.00 1.00
#> D74_84 1 0.000 0.995 1.00 0.00
#> D74_96 1 0.000 0.995 1.00 0.00
#> D71_13 1 0.000 0.995 1.00 0.00
#> D71_24 1 0.000 0.995 1.00 0.00
#> D71_25 1 0.000 0.995 1.00 0.00
#> D71_46 2 0.000 0.981 0.00 1.00
#> D71_50 1 0.000 0.995 1.00 0.00
#> D71_74 1 0.000 0.995 1.00 0.00
#> D71_77 1 0.000 0.995 1.00 0.00
#> D71_89 1 0.000 0.995 1.00 0.00
#> D71_96 1 0.000 0.995 1.00 0.00
#> D72_6 1 0.000 0.995 1.00 0.00
#> D72_17 1 0.000 0.995 1.00 0.00
#> D72_19 1 0.000 0.995 1.00 0.00
#> D72_26 1 0.000 0.995 1.00 0.00
#> D72_51 1 0.000 0.995 1.00 0.00
#> D72_56 1 0.000 0.995 1.00 0.00
#> D72_60 1 0.000 0.995 1.00 0.00
#> D72_73 2 0.000 0.981 0.00 1.00
#> D72_94 1 0.000 0.995 1.00 0.00
#> D73_47 1 0.000 0.995 1.00 0.00
#> D73_53 1 0.000 0.995 1.00 0.00
#> D73_66 1 0.000 0.995 1.00 0.00
#> D73_74 1 0.000 0.995 1.00 0.00
#> D73_75 2 0.000 0.981 0.00 1.00
#> D73_77 1 0.242 0.955 0.96 0.04
#> D73_80 2 0.680 0.783 0.18 0.82
#> D73_88 2 0.000 0.981 0.00 1.00
#> D73_93 1 0.000 0.995 1.00 0.00
#> D73_94 1 0.000 0.995 1.00 0.00
#> D73_95 1 0.000 0.995 1.00 0.00
#> D10631_1 2 0.000 0.981 0.00 1.00
#> D10631_4 2 0.000 0.981 0.00 1.00
#> D10631_5 2 0.000 0.981 0.00 1.00
#> D10631_6 2 0.000 0.981 0.00 1.00
#> D10631_7 1 0.000 0.995 1.00 0.00
#> D10631_8 2 0.000 0.981 0.00 1.00
#> D10631_9 2 0.000 0.981 0.00 1.00
#> D10631_11 2 0.000 0.981 0.00 1.00
#> D10631_13 1 0.000 0.995 1.00 0.00
#> D10631_16 2 0.881 0.586 0.30 0.70
#> D10631_18 2 0.000 0.981 0.00 1.00
#> D10631_19 2 0.000 0.981 0.00 1.00
#> D10631_20 2 0.000 0.981 0.00 1.00
#> D10631_22 2 0.000 0.981 0.00 1.00
#> D10631_23 2 0.000 0.981 0.00 1.00
#> D10631_25 2 0.000 0.981 0.00 1.00
#> D10631_28 1 0.000 0.995 1.00 0.00
#> D10631_30 1 0.000 0.995 1.00 0.00
#> D10631_31 1 0.000 0.995 1.00 0.00
#> D10631_32 1 0.000 0.995 1.00 0.00
#> D10631_35 1 0.000 0.995 1.00 0.00
#> D10631_36 2 0.000 0.981 0.00 1.00
#> D10631_37 2 0.000 0.981 0.00 1.00
#> D10631_39 2 0.000 0.981 0.00 1.00
#> D10631_41 2 0.141 0.964 0.02 0.98
#> D10631_42 2 0.000 0.981 0.00 1.00
#> D10631_43 2 0.000 0.981 0.00 1.00
#> D10631_44 2 0.000 0.981 0.00 1.00
#> D10631_47 1 0.000 0.995 1.00 0.00
#> D10631_49 1 0.000 0.995 1.00 0.00
#> D10631_55 2 0.000 0.981 0.00 1.00
#> D10631_58 2 0.000 0.981 0.00 1.00
#> D10631_59 1 0.000 0.995 1.00 0.00
#> D10631_60 2 0.000 0.981 0.00 1.00
#> D10631_62 2 0.000 0.981 0.00 1.00
#> D10631_64 2 0.000 0.981 0.00 1.00
#> D10631_72 2 0.000 0.981 0.00 1.00
#> D10631_73 2 0.000 0.981 0.00 1.00
#> D10631_74 2 0.000 0.981 0.00 1.00
#> D10631_75 1 0.000 0.995 1.00 0.00
#> D10631_77 1 0.000 0.995 1.00 0.00
#> D10631_78 1 0.000 0.995 1.00 0.00
#> D10631_79 1 0.000 0.995 1.00 0.00
#> D10631_80 1 0.000 0.995 1.00 0.00
#> D10631_81 1 0.000 0.995 1.00 0.00
#> D10631_82 1 0.000 0.995 1.00 0.00
#> D10631_83 1 0.000 0.995 1.00 0.00
#> D10631_84 1 0.000 0.995 1.00 0.00
#> D10631_86 1 0.000 0.995 1.00 0.00
#> D10631_87 2 0.000 0.981 0.00 1.00
#> D10631_89 1 0.000 0.995 1.00 0.00
#> D10631_93 2 0.000 0.981 0.00 1.00
#> D10631_94 1 0.000 0.995 1.00 0.00
#> D101_2 1 0.000 0.995 1.00 0.00
#> D101_3 2 0.141 0.964 0.02 0.98
#> D101_4 1 0.000 0.995 1.00 0.00
#> D101_6 1 0.000 0.995 1.00 0.00
#> D101_8 1 0.000 0.995 1.00 0.00
#> D101_9 1 0.000 0.995 1.00 0.00
#> D101_11 1 0.000 0.995 1.00 0.00
#> D101_12 1 0.000 0.995 1.00 0.00
#> D101_15 1 0.000 0.995 1.00 0.00
#> D101_18 1 0.000 0.995 1.00 0.00
#> D101_19 1 0.000 0.995 1.00 0.00
#> D101_20 1 0.000 0.995 1.00 0.00
#> D101_23 1 0.000 0.995 1.00 0.00
#> D101_26 1 0.000 0.995 1.00 0.00
#> D101_30 1 0.000 0.995 1.00 0.00
#> D101_32 1 0.000 0.995 1.00 0.00
#> D101_33 1 0.000 0.995 1.00 0.00
#> D101_38 1 0.000 0.995 1.00 0.00
#> D101_39 2 0.000 0.981 0.00 1.00
#> D101_40 1 0.000 0.995 1.00 0.00
#> D101_41 1 0.000 0.995 1.00 0.00
#> D101_42 1 0.000 0.995 1.00 0.00
#> D101_44 1 0.000 0.995 1.00 0.00
#> D101_46 1 0.000 0.995 1.00 0.00
#> D101_47 1 0.000 0.995 1.00 0.00
#> D101_49 1 0.000 0.995 1.00 0.00
#> D101_54 1 0.000 0.995 1.00 0.00
#> D101_55 2 0.000 0.981 0.00 1.00
#> D101_57 2 0.000 0.981 0.00 1.00
#> D101_58 2 0.000 0.981 0.00 1.00
#> D101_60 2 0.000 0.981 0.00 1.00
#> D101_61 1 0.000 0.995 1.00 0.00
#> D101_62 1 0.000 0.995 1.00 0.00
#> D101_63 1 0.000 0.995 1.00 0.00
#> D101_64 1 0.000 0.995 1.00 0.00
#> D101_65 1 0.000 0.995 1.00 0.00
#> D101_67 1 0.000 0.995 1.00 0.00
#> D101_68 1 0.000 0.995 1.00 0.00
#> D101_70 2 0.000 0.981 0.00 1.00
#> D101_71 2 0.000 0.981 0.00 1.00
#> D101_75 1 0.000 0.995 1.00 0.00
#> D101_76 2 0.000 0.981 0.00 1.00
#> D101_78 1 0.000 0.995 1.00 0.00
#> D101_79 2 0.000 0.981 0.00 1.00
#> D101_80 2 0.000 0.981 0.00 1.00
#> D101_85 1 0.000 0.995 1.00 0.00
#> D101_87 1 0.000 0.995 1.00 0.00
#> D101_88 2 0.000 0.981 0.00 1.00
#> D101_90 1 0.000 0.995 1.00 0.00
#> D101_92 2 0.981 0.294 0.42 0.58
#> D101_94 1 0.000 0.995 1.00 0.00
#> D101_96 1 0.402 0.910 0.92 0.08
#> D102_2 2 0.000 0.981 0.00 1.00
#> D102_5 2 0.000 0.981 0.00 1.00
#> D102_8 1 0.141 0.975 0.98 0.02
#> D102_9 2 0.000 0.981 0.00 1.00
#> D102_10 2 0.000 0.981 0.00 1.00
#> D102_12 2 0.141 0.964 0.02 0.98
#> D102_13 1 0.000 0.995 1.00 0.00
#> D102_15 1 0.000 0.995 1.00 0.00
#> D102_16 2 0.925 0.502 0.34 0.66
#> D102_19 2 0.000 0.981 0.00 1.00
#> D102_20 2 0.000 0.981 0.00 1.00
#> D102_22 1 0.000 0.995 1.00 0.00
#> D102_23 1 0.141 0.975 0.98 0.02
#> D102_27 1 0.000 0.995 1.00 0.00
#> D102_28 1 0.000 0.995 1.00 0.00
#> D102_29 2 0.000 0.981 0.00 1.00
#> D102_30 1 0.000 0.995 1.00 0.00
#> D102_31 2 0.000 0.981 0.00 1.00
#> D102_32 1 0.000 0.995 1.00 0.00
#> D102_33 1 0.000 0.995 1.00 0.00
#> D102_34 1 0.000 0.995 1.00 0.00
#> D102_35 1 0.000 0.995 1.00 0.00
#> D102_36 1 0.995 0.127 0.54 0.46
#> D102_37 1 0.141 0.975 0.98 0.02
#> D102_38 1 0.000 0.995 1.00 0.00
#> D102_41 1 0.000 0.995 1.00 0.00
#> D102_42 2 0.000 0.981 0.00 1.00
#> D102_43 2 0.000 0.981 0.00 1.00
#> D102_44 1 0.000 0.995 1.00 0.00
#> D102_46 2 0.141 0.964 0.02 0.98
#> D102_47 1 0.000 0.995 1.00 0.00
#> D102_48 1 0.000 0.995 1.00 0.00
#> D102_49 2 0.000 0.981 0.00 1.00
#> D102_52 2 0.760 0.725 0.22 0.78
#> D102_53 2 0.000 0.981 0.00 1.00
#> D102_56 2 0.000 0.981 0.00 1.00
#> D102_60 2 0.000 0.981 0.00 1.00
#> D102_62 2 0.000 0.981 0.00 1.00
#> D102_65 2 0.000 0.981 0.00 1.00
#> D102_67 2 0.000 0.981 0.00 1.00
#> D102_70 1 0.242 0.955 0.96 0.04
#> D102_72 2 0.000 0.981 0.00 1.00
#> D102_74 2 0.000 0.981 0.00 1.00
#> D102_75 2 0.000 0.981 0.00 1.00
#> D102_77 2 0.000 0.981 0.00 1.00
#> D102_80 1 0.000 0.995 1.00 0.00
#> D102_81 1 0.000 0.995 1.00 0.00
#> D102_82 1 0.000 0.995 1.00 0.00
#> D102_83 1 0.000 0.995 1.00 0.00
#> D102_84 2 0.000 0.981 0.00 1.00
#> D102_85 2 0.000 0.981 0.00 1.00
#> D102_86 1 0.000 0.995 1.00 0.00
#> D102_88 1 0.000 0.995 1.00 0.00
#> D102_89 2 0.000 0.981 0.00 1.00
#> D102_92 1 0.000 0.995 1.00 0.00
#> D102_95 2 0.000 0.981 0.00 1.00
#> D1713_44 1 0.000 0.995 1.00 0.00
#> D172444_5 1 0.000 0.995 1.00 0.00
#> D172444_6 1 0.000 0.995 1.00 0.00
#> D172444_40 2 0.000 0.981 0.00 1.00
#> D172444_94 1 0.000 0.995 1.00 0.00
#> D172444_95 1 0.000 0.995 1.00 0.00
#> D172444_96 1 0.000 0.995 1.00 0.00
#> D17All1_13 1 0.000 0.995 1.00 0.00
#> D17All1_14 1 0.000 0.995 1.00 0.00
#> D17All1_15 1 0.000 0.995 1.00 0.00
#> D17All1_17 1 0.000 0.995 1.00 0.00
#> D17All1_21 1 0.000 0.995 1.00 0.00
#> D17All1_85 1 0.000 0.995 1.00 0.00
#> D17All1_94 1 0.000 0.995 1.00 0.00
#> D17All2_5 1 0.000 0.995 1.00 0.00
#> D17All2_50 1 0.000 0.995 1.00 0.00
#> D17All2_75 1 0.000 0.995 1.00 0.00
#> D17All2_89 2 0.000 0.981 0.00 1.00
#> D17All2_96 1 0.000 0.995 1.00 0.00
#> D17TGFB_18 2 0.000 0.981 0.00 1.00
#> D17TGFB_60 1 0.000 0.995 1.00 0.00
#> D17TGFB_62 1 0.000 0.995 1.00 0.00
#> D17TGFB_96 1 0.000 0.995 1.00 0.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_45 1 0.0000 0.9640 1.00 0.00 0.00
#> D2ex_54 1 0.0000 0.9640 1.00 0.00 0.00
#> D2ex_63 2 0.0892 0.9302 0.00 0.98 0.02
#> D2ex_64 1 0.2537 0.8956 0.92 0.00 0.08
#> D2ex_65 1 0.0892 0.9487 0.98 0.00 0.02
#> D2ex_80 2 0.6045 0.4353 0.00 0.62 0.38
#> D2ex_93 2 0.0892 0.9302 0.00 0.98 0.02
#> D2ex_94 1 0.0000 0.9640 1.00 0.00 0.00
#> D2ex_95 1 0.0000 0.9640 1.00 0.00 0.00
#> D2ex_96 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_12 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_14 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en1_15 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_16 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en1_18 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en1_19 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en1_20 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_23 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_31 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_32 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_34 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en1_35 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_36 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_39 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_40 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_42 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en1_46 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en1_52 1 0.1529 0.9325 0.96 0.00 0.04
#> D3en1_57 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_58 1 0.4002 0.8024 0.84 0.00 0.16
#> D3en1_61 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_62 1 0.1529 0.9328 0.96 0.00 0.04
#> D3en1_70 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_72 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_74 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_77 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_78 1 0.4002 0.8016 0.84 0.00 0.16
#> D3en1_80 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_81 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en1_82 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_86 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en1_92 2 0.1529 0.9220 0.00 0.96 0.04
#> D3en1_95 3 0.6527 0.4278 0.02 0.32 0.66
#> D3en1_96 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_4 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_8 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en2_10 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_14 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_15 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_18 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_19 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_20 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_28 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_34 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_35 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_36 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_40 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_41 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_43 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_46 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_47 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_49 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en2_50 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en2_51 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_54 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_59 3 0.5147 0.6938 0.18 0.02 0.80
#> D3en2_63 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_65 2 0.9431 -0.0265 0.22 0.50 0.28
#> D3en2_67 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_73 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en2_75 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_78 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_79 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_80 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_84 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en2_86 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_87 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_94 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_95 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en2_96 2 0.1529 0.9228 0.00 0.96 0.04
#> D3en3_3 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en3_4 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_8 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_12 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_13 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_14 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_17 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_18 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_19 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_20 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_22 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_23 1 0.0892 0.9484 0.98 0.00 0.02
#> D3en3_25 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_26 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_31 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_33 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_34 1 0.5780 0.7362 0.80 0.08 0.12
#> D3en3_35 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_37 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_38 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_40 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_42 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_43 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_47 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_56 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_57 1 0.0892 0.9487 0.98 0.00 0.02
#> D3en3_58 2 0.4555 0.7506 0.00 0.80 0.20
#> D3en3_60 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_61 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_62 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_63 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_66 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_69 1 0.3686 0.8210 0.86 0.00 0.14
#> D3en3_70 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_74 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_76 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_77 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_78 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_79 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_80 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_81 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_82 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_83 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_84 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_88 1 0.0892 0.9487 0.98 0.00 0.02
#> D3en3_90 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en3_93 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en4_1 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en4_2 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en4_5 2 0.3686 0.8379 0.00 0.86 0.14
#> D3en4_10 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en4_11 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en4_29 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en4_36 2 0.8399 0.3058 0.16 0.62 0.22
#> D3en4_37 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en4_45 1 0.4291 0.7746 0.82 0.00 0.18
#> D3en4_53 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en4_55 1 0.5216 0.6365 0.74 0.00 0.26
#> D3en4_57 1 0.4291 0.7732 0.82 0.00 0.18
#> D3en4_59 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en4_62 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en4_70 1 0.1529 0.9325 0.96 0.00 0.04
#> D3en4_75 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en4_76 1 0.7464 0.1356 0.56 0.04 0.40
#> D3en4_77 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en4_78 1 0.4291 0.7761 0.82 0.00 0.18
#> D3en4_79 2 0.0892 0.9302 0.00 0.98 0.02
#> D3en4_80 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en4_81 1 0.2959 0.8744 0.90 0.00 0.10
#> D3en4_82 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en4_90 1 0.0000 0.9640 1.00 0.00 0.00
#> D3en4_96 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_1 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_7 1 0.3686 0.8202 0.86 0.00 0.14
#> D3ex_8 1 0.0892 0.9480 0.98 0.00 0.02
#> D3ex_10 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_11 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_13 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_14 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_15 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_16 1 0.1529 0.9325 0.96 0.00 0.04
#> D3ex_18 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_19 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_20 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_21 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_22 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_23 1 0.2066 0.9150 0.94 0.00 0.06
#> D3ex_24 1 0.2959 0.8751 0.90 0.00 0.10
#> D3ex_25 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_26 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_27 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_28 3 0.5147 0.6931 0.18 0.02 0.80
#> D3ex_29 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_30 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_31 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_32 1 0.9684 -0.2259 0.46 0.28 0.26
#> D3ex_33 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_35 1 0.2537 0.8970 0.92 0.00 0.08
#> D3ex_37 1 0.4796 0.7061 0.78 0.00 0.22
#> D3ex_42 2 0.0892 0.9302 0.00 0.98 0.02
#> D3ex_43 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_44 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_45 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_46 1 0.0892 0.9487 0.98 0.00 0.02
#> D3ex_47 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_49 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_50 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_52 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_53 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_54 1 0.1529 0.9325 0.96 0.00 0.04
#> D3ex_56 1 0.5216 0.6148 0.74 0.00 0.26
#> D3ex_57 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_58 2 0.0892 0.9302 0.00 0.98 0.02
#> D3ex_60 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_61 1 0.5835 0.4585 0.66 0.00 0.34
#> D3ex_62 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_63 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_65 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_70 2 0.0892 0.9302 0.00 0.98 0.02
#> D3ex_72 2 0.0892 0.9302 0.00 0.98 0.02
#> D3ex_73 1 0.8271 -0.0239 0.52 0.08 0.40
#> D3ex_78 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_80 2 0.0892 0.9302 0.00 0.98 0.02
#> D3ex_81 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_84 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_85 1 0.4002 0.8004 0.84 0.00 0.16
#> D3ex_86 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_87 2 0.0892 0.9302 0.00 0.98 0.02
#> D3ex_89 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_93 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_94 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_95 1 0.0000 0.9640 1.00 0.00 0.00
#> D3ex_96 1 0.0000 0.9640 1.00 0.00 0.00
#> D74_4 2 0.2066 0.8995 0.00 0.94 0.06
#> D74_30 1 0.0000 0.9640 1.00 0.00 0.00
#> D74_38 2 0.4796 0.7312 0.00 0.78 0.22
#> D74_48 1 0.0000 0.9640 1.00 0.00 0.00
#> D74_50 3 0.3572 0.7046 0.04 0.06 0.90
#> D74_72 1 0.5216 0.6342 0.74 0.00 0.26
#> D74_80 2 0.2066 0.8997 0.00 0.94 0.06
#> D74_84 1 0.0000 0.9640 1.00 0.00 0.00
#> D74_96 1 0.0000 0.9640 1.00 0.00 0.00
#> D71_13 1 0.0000 0.9640 1.00 0.00 0.00
#> D71_24 1 0.0000 0.9640 1.00 0.00 0.00
#> D71_25 1 0.1529 0.9338 0.96 0.00 0.04
#> D71_46 2 0.0000 0.9334 0.00 1.00 0.00
#> D71_50 1 0.3686 0.8182 0.86 0.00 0.14
#> D71_74 1 0.0000 0.9640 1.00 0.00 0.00
#> D71_77 1 0.0000 0.9640 1.00 0.00 0.00
#> D71_89 1 0.0000 0.9640 1.00 0.00 0.00
#> D71_96 1 0.0892 0.9487 0.98 0.00 0.02
#> D72_6 1 0.2066 0.9147 0.94 0.00 0.06
#> D72_17 1 0.1529 0.9335 0.96 0.00 0.04
#> D72_19 1 0.0000 0.9640 1.00 0.00 0.00
#> D72_26 1 0.0000 0.9640 1.00 0.00 0.00
#> D72_51 1 0.0000 0.9640 1.00 0.00 0.00
#> D72_56 1 0.0000 0.9640 1.00 0.00 0.00
#> D72_60 1 0.0000 0.9640 1.00 0.00 0.00
#> D72_73 2 0.0000 0.9334 0.00 1.00 0.00
#> D72_94 1 0.0000 0.9640 1.00 0.00 0.00
#> D73_47 1 0.0000 0.9640 1.00 0.00 0.00
#> D73_53 1 0.0000 0.9640 1.00 0.00 0.00
#> D73_66 3 0.6309 0.1269 0.50 0.00 0.50
#> D73_74 1 0.0000 0.9640 1.00 0.00 0.00
#> D73_75 2 0.0000 0.9334 0.00 1.00 0.00
#> D73_77 3 0.4002 0.7125 0.16 0.00 0.84
#> D73_80 3 0.3832 0.6774 0.02 0.10 0.88
#> D73_88 2 0.0000 0.9334 0.00 1.00 0.00
#> D73_93 1 0.0000 0.9640 1.00 0.00 0.00
#> D73_94 1 0.0000 0.9640 1.00 0.00 0.00
#> D73_95 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_1 3 0.6192 0.2247 0.00 0.42 0.58
#> D10631_4 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_5 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_6 2 0.5835 0.4973 0.00 0.66 0.34
#> D10631_7 1 0.1529 0.9332 0.96 0.00 0.04
#> D10631_8 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_9 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_11 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_13 1 0.5216 0.6183 0.74 0.00 0.26
#> D10631_16 3 0.1781 0.7002 0.02 0.02 0.96
#> D10631_18 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_19 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_20 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_22 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_23 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_25 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_28 1 0.5397 0.5737 0.72 0.00 0.28
#> D10631_30 1 0.2066 0.9108 0.94 0.00 0.06
#> D10631_31 1 0.6126 0.2338 0.60 0.00 0.40
#> D10631_32 3 0.6192 0.3953 0.42 0.00 0.58
#> D10631_35 1 0.5560 0.5161 0.70 0.00 0.30
#> D10631_36 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_37 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_39 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_41 3 0.4291 0.6145 0.00 0.18 0.82
#> D10631_42 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_43 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_44 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_47 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_49 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_55 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_58 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_59 1 0.5706 0.4778 0.68 0.00 0.32
#> D10631_60 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_62 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_64 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_72 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_73 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_74 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_75 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_77 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_78 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_79 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_80 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_81 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_82 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_83 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_84 1 0.0000 0.9640 1.00 0.00 0.00
#> D10631_86 3 0.5706 0.6067 0.32 0.00 0.68
#> D10631_87 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_89 1 0.2537 0.8912 0.92 0.00 0.08
#> D10631_93 2 0.0000 0.9334 0.00 1.00 0.00
#> D10631_94 1 0.2066 0.9134 0.94 0.00 0.06
#> D101_2 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_3 2 0.4291 0.7827 0.00 0.82 0.18
#> D101_4 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_6 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_8 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_9 1 0.0892 0.9482 0.98 0.00 0.02
#> D101_11 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_12 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_15 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_18 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_19 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_20 1 0.3686 0.8286 0.86 0.00 0.14
#> D101_23 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_26 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_30 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_32 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_33 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_38 1 0.0892 0.9487 0.98 0.00 0.02
#> D101_39 2 0.5706 0.5532 0.00 0.68 0.32
#> D101_40 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_41 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_42 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_44 1 0.0892 0.9487 0.98 0.00 0.02
#> D101_46 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_47 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_49 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_54 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_55 2 0.0892 0.9245 0.00 0.98 0.02
#> D101_57 3 0.6244 0.1527 0.00 0.44 0.56
#> D101_58 2 0.5016 0.7035 0.00 0.76 0.24
#> D101_60 2 0.0000 0.9334 0.00 1.00 0.00
#> D101_61 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_62 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_63 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_64 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_65 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_67 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_68 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_70 2 0.0000 0.9334 0.00 1.00 0.00
#> D101_71 2 0.1529 0.9140 0.00 0.96 0.04
#> D101_75 1 0.5397 0.5956 0.72 0.00 0.28
#> D101_76 2 0.2959 0.8662 0.00 0.90 0.10
#> D101_78 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_79 2 0.4555 0.7549 0.00 0.80 0.20
#> D101_80 2 0.0000 0.9334 0.00 1.00 0.00
#> D101_85 3 0.5216 0.6518 0.26 0.00 0.74
#> D101_87 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_88 2 0.0000 0.9334 0.00 1.00 0.00
#> D101_90 3 0.4796 0.6797 0.22 0.00 0.78
#> D101_92 3 0.2066 0.6797 0.00 0.06 0.94
#> D101_94 1 0.0000 0.9640 1.00 0.00 0.00
#> D101_96 3 0.4821 0.7173 0.12 0.04 0.84
#> D102_2 2 0.0000 0.9334 0.00 1.00 0.00
#> D102_5 3 0.6280 0.0961 0.00 0.46 0.54
#> D102_8 3 0.0892 0.7008 0.02 0.00 0.98
#> D102_9 2 0.4796 0.7176 0.00 0.78 0.22
#> D102_10 2 0.1529 0.9133 0.00 0.96 0.04
#> D102_12 3 0.4291 0.5989 0.00 0.18 0.82
#> D102_13 3 0.5016 0.6682 0.24 0.00 0.76
#> D102_15 1 0.0892 0.9487 0.98 0.00 0.02
#> D102_16 3 0.2066 0.6809 0.00 0.06 0.94
#> D102_19 2 0.4291 0.7854 0.00 0.82 0.18
#> D102_20 2 0.1529 0.9120 0.00 0.96 0.04
#> D102_22 1 0.5706 0.4932 0.68 0.00 0.32
#> D102_23 3 0.5016 0.6734 0.24 0.00 0.76
#> D102_27 1 0.6302 -0.0409 0.52 0.00 0.48
#> D102_28 1 0.2537 0.8903 0.92 0.00 0.08
#> D102_29 2 0.0000 0.9334 0.00 1.00 0.00
#> D102_30 1 0.0000 0.9640 1.00 0.00 0.00
#> D102_31 2 0.6045 0.3887 0.00 0.62 0.38
#> D102_32 3 0.2537 0.7171 0.08 0.00 0.92
#> D102_33 3 0.4291 0.7065 0.18 0.00 0.82
#> D102_34 3 0.4291 0.7069 0.18 0.00 0.82
#> D102_35 1 0.2537 0.8899 0.92 0.00 0.08
#> D102_36 3 0.0892 0.6853 0.00 0.02 0.98
#> D102_37 3 0.0892 0.7008 0.02 0.00 0.98
#> D102_38 3 0.5397 0.6440 0.28 0.00 0.72
#> D102_41 1 0.0000 0.9640 1.00 0.00 0.00
#> D102_42 2 0.5016 0.7010 0.00 0.76 0.24
#> D102_43 2 0.0000 0.9334 0.00 1.00 0.00
#> D102_44 1 0.2066 0.9158 0.94 0.00 0.06
#> D102_46 3 0.5835 0.4011 0.00 0.34 0.66
#> D102_47 1 0.0000 0.9640 1.00 0.00 0.00
#> D102_48 1 0.2959 0.8705 0.90 0.00 0.10
#> D102_49 2 0.4291 0.7811 0.00 0.82 0.18
#> D102_52 3 0.3686 0.6481 0.00 0.14 0.86
#> D102_53 2 0.3340 0.8488 0.00 0.88 0.12
#> D102_56 2 0.1529 0.9124 0.00 0.96 0.04
#> D102_60 2 0.0000 0.9334 0.00 1.00 0.00
#> D102_62 3 0.6126 0.2870 0.00 0.40 0.60
#> D102_65 2 0.2959 0.8677 0.00 0.90 0.10
#> D102_67 2 0.4796 0.7247 0.00 0.78 0.22
#> D102_70 3 0.4035 0.7155 0.08 0.04 0.88
#> D102_72 2 0.2066 0.8997 0.00 0.94 0.06
#> D102_74 2 0.5706 0.5574 0.00 0.68 0.32
#> D102_75 2 0.0000 0.9334 0.00 1.00 0.00
#> D102_77 2 0.4291 0.7800 0.00 0.82 0.18
#> D102_80 1 0.0000 0.9640 1.00 0.00 0.00
#> D102_81 1 0.0000 0.9640 1.00 0.00 0.00
#> D102_82 1 0.0000 0.9640 1.00 0.00 0.00
#> D102_83 1 0.0000 0.9640 1.00 0.00 0.00
#> D102_84 2 0.0000 0.9334 0.00 1.00 0.00
#> D102_85 2 0.0000 0.9334 0.00 1.00 0.00
#> D102_86 1 0.0000 0.9640 1.00 0.00 0.00
#> D102_88 3 0.6302 0.1989 0.48 0.00 0.52
#> D102_89 2 0.0892 0.9241 0.00 0.98 0.02
#> D102_92 3 0.0892 0.7008 0.02 0.00 0.98
#> D102_95 3 0.5560 0.4681 0.00 0.30 0.70
#> D1713_44 1 0.1529 0.9325 0.96 0.00 0.04
#> D172444_5 1 0.3686 0.8301 0.86 0.00 0.14
#> D172444_6 1 0.0000 0.9640 1.00 0.00 0.00
#> D172444_40 3 0.6280 0.0794 0.00 0.46 0.54
#> D172444_94 1 0.0000 0.9640 1.00 0.00 0.00
#> D172444_95 1 0.0000 0.9640 1.00 0.00 0.00
#> D172444_96 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All1_13 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All1_14 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All1_15 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All1_17 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All1_21 1 0.1529 0.9318 0.96 0.00 0.04
#> D17All1_85 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All1_94 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All2_5 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All2_50 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All2_75 1 0.0000 0.9640 1.00 0.00 0.00
#> D17All2_89 2 0.0000 0.9334 0.00 1.00 0.00
#> D17All2_96 1 0.0000 0.9640 1.00 0.00 0.00
#> D17TGFB_18 2 0.0000 0.9334 0.00 1.00 0.00
#> D17TGFB_60 1 0.2959 0.8747 0.90 0.00 0.10
#> D17TGFB_62 1 0.4796 0.7066 0.78 0.00 0.22
#> D17TGFB_96 1 0.0000 0.9640 1.00 0.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_45 1 0.4522 0.438537 0.68 0.00 0.00 0.32
#> D2ex_54 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D2ex_63 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D2ex_64 4 0.4522 0.562360 0.32 0.00 0.00 0.68
#> D2ex_65 1 0.4624 0.379813 0.66 0.00 0.00 0.34
#> D2ex_80 3 0.6720 0.462927 0.00 0.30 0.58 0.12
#> D2ex_93 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D2ex_94 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D2ex_95 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D2ex_96 1 0.1637 0.876878 0.94 0.00 0.00 0.06
#> D3en1_12 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en1_14 2 0.2411 0.881193 0.00 0.92 0.04 0.04
#> D3en1_15 1 0.0707 0.902813 0.98 0.00 0.00 0.02
#> D3en1_16 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en1_18 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en1_19 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en1_20 1 0.1211 0.889471 0.96 0.00 0.00 0.04
#> D3en1_23 1 0.2011 0.855336 0.92 0.00 0.00 0.08
#> D3en1_31 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en1_32 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en1_34 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en1_35 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en1_36 1 0.2345 0.834030 0.90 0.00 0.00 0.10
#> D3en1_39 1 0.0707 0.902518 0.98 0.00 0.00 0.02
#> D3en1_40 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en1_42 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en1_46 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en1_52 4 0.4134 0.572129 0.26 0.00 0.00 0.74
#> D3en1_57 1 0.4522 0.434702 0.68 0.00 0.00 0.32
#> D3en1_58 4 0.4088 0.461546 0.14 0.00 0.04 0.82
#> D3en1_61 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en1_62 1 0.4948 -0.026572 0.56 0.00 0.00 0.44
#> D3en1_70 1 0.4936 0.418887 0.70 0.00 0.02 0.28
#> D3en1_72 1 0.0707 0.900515 0.98 0.00 0.00 0.02
#> D3en1_74 1 0.1211 0.889562 0.96 0.00 0.00 0.04
#> D3en1_77 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en1_78 4 0.5256 0.558228 0.26 0.00 0.04 0.70
#> D3en1_80 1 0.3610 0.670540 0.80 0.00 0.00 0.20
#> D3en1_81 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en1_82 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en1_86 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en1_92 2 0.2830 0.870167 0.00 0.90 0.06 0.04
#> D3en1_95 4 0.5902 -0.060164 0.00 0.14 0.16 0.70
#> D3en1_96 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_4 1 0.2011 0.854558 0.92 0.00 0.00 0.08
#> D3en2_8 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en2_10 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_14 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_15 1 0.1211 0.889065 0.96 0.00 0.00 0.04
#> D3en2_18 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_19 1 0.4134 0.587038 0.74 0.00 0.00 0.26
#> D3en2_20 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_28 1 0.0707 0.902829 0.98 0.00 0.00 0.02
#> D3en2_34 1 0.0707 0.902829 0.98 0.00 0.00 0.02
#> D3en2_35 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_36 1 0.0707 0.902385 0.98 0.00 0.00 0.02
#> D3en2_40 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_41 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_43 1 0.2345 0.834030 0.90 0.00 0.00 0.10
#> D3en2_46 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_47 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_49 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en2_50 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en2_51 1 0.0707 0.902145 0.98 0.00 0.00 0.02
#> D3en2_54 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_59 4 0.4642 -0.043990 0.02 0.00 0.24 0.74
#> D3en2_63 1 0.4134 0.586625 0.74 0.00 0.00 0.26
#> D3en2_65 4 0.8797 -0.230773 0.06 0.22 0.28 0.44
#> D3en2_67 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_73 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en2_75 1 0.1211 0.889562 0.96 0.00 0.00 0.04
#> D3en2_78 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_79 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_80 1 0.0707 0.900211 0.98 0.00 0.00 0.02
#> D3en2_84 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en2_86 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_87 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_94 1 0.1637 0.873040 0.94 0.00 0.00 0.06
#> D3en2_95 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en2_96 2 0.2411 0.881871 0.00 0.92 0.04 0.04
#> D3en3_3 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en3_4 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_8 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_12 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_13 1 0.1637 0.873040 0.94 0.00 0.00 0.06
#> D3en3_14 1 0.0707 0.902813 0.98 0.00 0.00 0.02
#> D3en3_17 1 0.2921 0.786959 0.86 0.00 0.00 0.14
#> D3en3_18 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_19 1 0.1211 0.889562 0.96 0.00 0.00 0.04
#> D3en3_20 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_22 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_23 1 0.4624 0.373400 0.66 0.00 0.00 0.34
#> D3en3_25 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_26 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_31 1 0.1637 0.873040 0.94 0.00 0.00 0.06
#> D3en3_33 1 0.3610 0.702737 0.80 0.00 0.00 0.20
#> D3en3_34 4 0.4088 0.459151 0.14 0.00 0.04 0.82
#> D3en3_35 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_37 1 0.1211 0.889562 0.96 0.00 0.00 0.04
#> D3en3_38 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_40 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_42 1 0.1211 0.889065 0.96 0.00 0.00 0.04
#> D3en3_43 1 0.2921 0.791087 0.86 0.00 0.00 0.14
#> D3en3_47 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_56 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_57 1 0.4134 0.583845 0.74 0.00 0.00 0.26
#> D3en3_58 4 0.6805 -0.165524 0.00 0.40 0.10 0.50
#> D3en3_60 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_61 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_62 1 0.3172 0.762028 0.84 0.00 0.00 0.16
#> D3en3_63 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_66 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_69 4 0.6299 0.494587 0.42 0.00 0.06 0.52
#> D3en3_70 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_74 1 0.3975 0.625411 0.76 0.00 0.00 0.24
#> D3en3_76 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_77 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_78 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_79 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_80 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_81 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_82 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_83 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_84 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en3_88 1 0.3172 0.759226 0.84 0.00 0.00 0.16
#> D3en3_90 1 0.2011 0.855578 0.92 0.00 0.00 0.08
#> D3en3_93 1 0.0707 0.900515 0.98 0.00 0.00 0.02
#> D3en4_1 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en4_2 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en4_5 2 0.6074 0.419604 0.00 0.60 0.06 0.34
#> D3en4_10 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en4_11 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en4_29 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en4_36 4 0.7091 -0.000762 0.02 0.22 0.14 0.62
#> D3en4_37 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en4_45 4 0.5512 0.557473 0.30 0.00 0.04 0.66
#> D3en4_53 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en4_55 4 0.6594 0.455348 0.24 0.00 0.14 0.62
#> D3en4_57 4 0.3975 0.564270 0.24 0.00 0.00 0.76
#> D3en4_59 1 0.2011 0.854558 0.92 0.00 0.00 0.08
#> D3en4_62 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en4_70 1 0.4855 0.149730 0.60 0.00 0.00 0.40
#> D3en4_75 1 0.2011 0.854558 0.92 0.00 0.00 0.08
#> D3en4_76 4 0.6855 0.412984 0.20 0.00 0.20 0.60
#> D3en4_77 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en4_78 4 0.3821 0.430257 0.12 0.00 0.04 0.84
#> D3en4_79 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3en4_80 1 0.4624 0.372947 0.66 0.00 0.00 0.34
#> D3en4_81 4 0.4977 0.397282 0.46 0.00 0.00 0.54
#> D3en4_82 1 0.1637 0.873040 0.94 0.00 0.00 0.06
#> D3en4_90 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3en4_96 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_1 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_7 1 0.5793 0.071727 0.60 0.00 0.04 0.36
#> D3ex_8 1 0.4277 0.481399 0.72 0.00 0.00 0.28
#> D3ex_10 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_11 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_13 1 0.2830 0.821487 0.90 0.00 0.04 0.06
#> D3ex_14 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_15 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_16 4 0.4790 0.534552 0.38 0.00 0.00 0.62
#> D3ex_18 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_19 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_20 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_21 1 0.0707 0.900916 0.98 0.00 0.00 0.02
#> D3ex_22 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_23 1 0.4948 -0.093004 0.56 0.00 0.00 0.44
#> D3ex_24 1 0.5000 -0.281664 0.50 0.00 0.00 0.50
#> D3ex_25 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_26 1 0.2011 0.855872 0.92 0.00 0.00 0.08
#> D3ex_27 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_28 4 0.5166 0.172760 0.06 0.02 0.14 0.78
#> D3ex_29 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_30 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_31 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_32 4 0.7408 -0.071357 0.04 0.16 0.18 0.62
#> D3ex_33 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_35 1 0.5987 -0.261022 0.52 0.00 0.04 0.44
#> D3ex_37 4 0.5767 0.485865 0.28 0.00 0.06 0.66
#> D3ex_42 2 0.2706 0.875187 0.00 0.90 0.08 0.02
#> D3ex_43 1 0.1211 0.889562 0.96 0.00 0.00 0.04
#> D3ex_44 1 0.4277 0.543779 0.72 0.00 0.00 0.28
#> D3ex_45 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_46 1 0.4624 0.370711 0.66 0.00 0.00 0.34
#> D3ex_47 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_49 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_50 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_52 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_53 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_54 4 0.4994 0.342534 0.48 0.00 0.00 0.52
#> D3ex_56 4 0.7456 0.462040 0.36 0.00 0.18 0.46
#> D3ex_57 1 0.0707 0.900970 0.98 0.00 0.00 0.02
#> D3ex_58 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3ex_60 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_61 4 0.4939 0.479142 0.22 0.00 0.04 0.74
#> D3ex_62 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_63 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_65 1 0.0707 0.902813 0.98 0.00 0.00 0.02
#> D3ex_70 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3ex_72 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3ex_73 4 0.5327 0.134770 0.06 0.00 0.22 0.72
#> D3ex_78 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_80 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3ex_81 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_84 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_85 4 0.5636 0.556357 0.26 0.00 0.06 0.68
#> D3ex_86 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_87 2 0.1913 0.891369 0.00 0.94 0.04 0.02
#> D3ex_89 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_93 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_94 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_95 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D3ex_96 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D74_4 2 0.5106 0.626473 0.00 0.72 0.24 0.04
#> D74_30 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D74_38 2 0.4522 0.548637 0.00 0.68 0.32 0.00
#> D74_48 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D74_50 3 0.1913 0.633020 0.00 0.02 0.94 0.04
#> D74_72 1 0.7206 -0.416096 0.46 0.00 0.14 0.40
#> D74_80 2 0.2011 0.858165 0.00 0.92 0.08 0.00
#> D74_84 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D74_96 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D71_13 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D71_24 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D71_25 1 0.4277 0.537170 0.72 0.00 0.00 0.28
#> D71_46 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D71_50 1 0.4088 0.699004 0.82 0.00 0.04 0.14
#> D71_74 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D71_77 1 0.1211 0.889127 0.96 0.00 0.00 0.04
#> D71_89 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D71_96 1 0.4134 0.582565 0.74 0.00 0.00 0.26
#> D72_6 4 0.4277 0.570536 0.28 0.00 0.00 0.72
#> D72_17 1 0.3610 0.688822 0.80 0.00 0.00 0.20
#> D72_19 1 0.0707 0.902813 0.98 0.00 0.00 0.02
#> D72_26 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D72_51 1 0.1211 0.889324 0.96 0.00 0.00 0.04
#> D72_56 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D72_60 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D72_73 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D72_94 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D73_47 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D73_53 1 0.0707 0.902829 0.98 0.00 0.00 0.02
#> D73_66 1 0.6262 -0.142320 0.54 0.00 0.40 0.06
#> D73_74 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D73_75 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D73_77 3 0.5077 0.530106 0.08 0.00 0.76 0.16
#> D73_80 3 0.2411 0.640955 0.00 0.04 0.92 0.04
#> D73_88 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D73_93 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D73_94 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D73_95 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_1 3 0.5661 0.595576 0.00 0.22 0.70 0.08
#> D10631_4 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_5 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_6 2 0.6150 0.346187 0.00 0.58 0.36 0.06
#> D10631_7 1 0.4936 0.461558 0.70 0.00 0.02 0.28
#> D10631_8 2 0.1211 0.882814 0.00 0.96 0.04 0.00
#> D10631_9 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_11 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_13 1 0.5428 0.532321 0.74 0.00 0.12 0.14
#> D10631_16 3 0.2830 0.637514 0.00 0.04 0.90 0.06
#> D10631_18 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_19 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_20 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_22 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_23 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_25 2 0.0707 0.892909 0.00 0.98 0.02 0.00
#> D10631_28 1 0.5784 0.435633 0.70 0.00 0.10 0.20
#> D10631_30 1 0.3037 0.784464 0.88 0.00 0.10 0.02
#> D10631_31 1 0.4134 0.515700 0.74 0.00 0.26 0.00
#> D10631_32 3 0.7016 -0.112579 0.32 0.00 0.54 0.14
#> D10631_35 1 0.4790 0.168038 0.62 0.00 0.38 0.00
#> D10631_36 2 0.0707 0.892909 0.00 0.98 0.02 0.00
#> D10631_37 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_39 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_41 3 0.4731 0.635806 0.00 0.16 0.78 0.06
#> D10631_42 2 0.0707 0.892909 0.00 0.98 0.02 0.00
#> D10631_43 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_44 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_47 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_49 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_55 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_58 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_59 1 0.7004 0.041150 0.58 0.00 0.20 0.22
#> D10631_60 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_62 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_64 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_72 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_73 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_74 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_75 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_77 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_78 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_79 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_80 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_81 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_82 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_83 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_84 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D10631_86 3 0.6836 0.064659 0.28 0.00 0.58 0.14
#> D10631_87 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_89 1 0.2647 0.811797 0.88 0.00 0.00 0.12
#> D10631_93 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D10631_94 1 0.3037 0.793441 0.88 0.00 0.02 0.10
#> D101_2 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_3 2 0.5657 0.618427 0.00 0.72 0.16 0.12
#> D101_4 1 0.1637 0.873040 0.94 0.00 0.00 0.06
#> D101_6 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_8 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_9 1 0.0707 0.900970 0.98 0.00 0.00 0.02
#> D101_11 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_12 1 0.1211 0.889065 0.96 0.00 0.00 0.04
#> D101_15 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_18 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_19 1 0.1637 0.873040 0.94 0.00 0.00 0.06
#> D101_20 4 0.6570 0.527411 0.32 0.00 0.10 0.58
#> D101_23 1 0.1637 0.873040 0.94 0.00 0.00 0.06
#> D101_26 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_30 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_32 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_33 1 0.1211 0.889562 0.96 0.00 0.00 0.04
#> D101_38 1 0.4522 0.439116 0.68 0.00 0.00 0.32
#> D101_39 3 0.4713 0.407154 0.00 0.36 0.64 0.00
#> D101_40 1 0.1637 0.873040 0.94 0.00 0.00 0.06
#> D101_41 1 0.1211 0.890254 0.96 0.00 0.00 0.04
#> D101_42 1 0.2921 0.785586 0.86 0.00 0.00 0.14
#> D101_44 1 0.3610 0.695615 0.80 0.00 0.00 0.20
#> D101_46 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_47 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_49 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_54 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_55 2 0.2345 0.840699 0.00 0.90 0.10 0.00
#> D101_57 3 0.4079 0.628321 0.00 0.18 0.80 0.02
#> D101_58 2 0.4936 0.583041 0.00 0.70 0.28 0.02
#> D101_60 2 0.1411 0.895198 0.00 0.96 0.02 0.02
#> D101_61 1 0.0707 0.902829 0.98 0.00 0.00 0.02
#> D101_62 1 0.1637 0.873040 0.94 0.00 0.00 0.06
#> D101_63 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_64 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_65 1 0.0707 0.902813 0.98 0.00 0.00 0.02
#> D101_67 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_68 1 0.2345 0.834145 0.90 0.00 0.00 0.10
#> D101_70 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D101_71 2 0.3801 0.709150 0.00 0.78 0.22 0.00
#> D101_75 4 0.6766 0.489115 0.38 0.00 0.10 0.52
#> D101_76 2 0.4755 0.716303 0.00 0.76 0.20 0.04
#> D101_78 1 0.0707 0.902813 0.98 0.00 0.00 0.02
#> D101_79 2 0.5106 0.641737 0.00 0.72 0.24 0.04
#> D101_80 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D101_85 4 0.7198 0.304390 0.18 0.00 0.28 0.54
#> D101_87 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_88 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D101_90 4 0.6262 -0.194932 0.06 0.00 0.40 0.54
#> D101_92 3 0.3400 0.597795 0.00 0.00 0.82 0.18
#> D101_94 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D101_96 3 0.8283 0.240775 0.12 0.06 0.46 0.36
#> D102_2 2 0.1211 0.882814 0.00 0.96 0.04 0.00
#> D102_5 3 0.5428 0.377545 0.00 0.38 0.60 0.02
#> D102_8 3 0.4134 0.581473 0.00 0.00 0.74 0.26
#> D102_9 3 0.5000 -0.107541 0.00 0.50 0.50 0.00
#> D102_10 2 0.2345 0.844041 0.00 0.90 0.10 0.00
#> D102_12 3 0.5956 0.600962 0.00 0.10 0.68 0.22
#> D102_13 3 0.5902 0.407654 0.14 0.00 0.70 0.16
#> D102_15 1 0.2345 0.821573 0.90 0.00 0.00 0.10
#> D102_16 3 0.4766 0.628613 0.02 0.04 0.80 0.14
#> D102_19 2 0.4713 0.441699 0.00 0.64 0.36 0.00
#> D102_20 2 0.3172 0.785004 0.00 0.84 0.16 0.00
#> D102_22 1 0.7394 -0.226767 0.52 0.00 0.24 0.24
#> D102_23 3 0.3853 0.599297 0.02 0.00 0.82 0.16
#> D102_27 1 0.7654 -0.486189 0.44 0.00 0.22 0.34
#> D102_28 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D102_29 2 0.1211 0.883304 0.00 0.96 0.04 0.00
#> D102_30 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D102_31 2 0.7653 -0.059540 0.00 0.46 0.30 0.24
#> D102_32 3 0.6477 0.377317 0.10 0.00 0.60 0.30
#> D102_33 3 0.7394 0.031727 0.24 0.00 0.52 0.24
#> D102_34 3 0.6594 0.162665 0.24 0.00 0.62 0.14
#> D102_35 1 0.0707 0.899974 0.98 0.00 0.02 0.00
#> D102_36 3 0.4939 0.610457 0.00 0.04 0.74 0.22
#> D102_37 3 0.5570 0.428983 0.02 0.00 0.54 0.44
#> D102_38 3 0.7139 0.242547 0.20 0.02 0.62 0.16
#> D102_41 1 0.1637 0.867150 0.94 0.00 0.00 0.06
#> D102_42 2 0.6714 0.240242 0.00 0.54 0.36 0.10
#> D102_43 2 0.0707 0.893087 0.00 0.98 0.02 0.00
#> D102_44 1 0.4790 0.237919 0.62 0.00 0.00 0.38
#> D102_46 3 0.3400 0.627150 0.00 0.18 0.82 0.00
#> D102_47 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D102_48 1 0.2011 0.841477 0.92 0.00 0.08 0.00
#> D102_49 2 0.4277 0.603797 0.00 0.72 0.28 0.00
#> D102_52 3 0.2830 0.640325 0.00 0.04 0.90 0.06
#> D102_53 2 0.3975 0.683144 0.00 0.76 0.24 0.00
#> D102_56 2 0.0707 0.892919 0.00 0.98 0.02 0.00
#> D102_60 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D102_62 3 0.5256 0.562301 0.00 0.26 0.70 0.04
#> D102_65 2 0.3610 0.738949 0.00 0.80 0.20 0.00
#> D102_67 2 0.4790 0.391712 0.00 0.62 0.38 0.00
#> D102_70 3 0.4088 0.603495 0.04 0.00 0.82 0.14
#> D102_72 2 0.2921 0.807122 0.00 0.86 0.14 0.00
#> D102_74 2 0.4994 0.103606 0.00 0.52 0.48 0.00
#> D102_75 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D102_77 2 0.4790 0.451044 0.00 0.62 0.38 0.00
#> D102_80 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D102_81 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D102_82 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D102_83 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D102_84 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D102_85 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D102_86 1 0.0707 0.902829 0.98 0.00 0.00 0.02
#> D102_88 1 0.7602 -0.474895 0.42 0.00 0.38 0.20
#> D102_89 2 0.2345 0.844485 0.00 0.90 0.10 0.00
#> D102_92 3 0.5860 0.434216 0.04 0.00 0.58 0.38
#> D102_95 3 0.2921 0.639128 0.00 0.14 0.86 0.00
#> D1713_44 1 0.4713 0.314525 0.64 0.00 0.00 0.36
#> D172444_5 4 0.5106 0.517205 0.24 0.00 0.04 0.72
#> D172444_6 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D172444_40 3 0.6605 0.224422 0.00 0.44 0.48 0.08
#> D172444_94 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D172444_95 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D172444_96 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All1_13 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All1_14 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All1_15 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All1_17 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All1_21 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All1_85 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All1_94 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All2_5 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All2_50 1 0.0707 0.902813 0.98 0.00 0.00 0.02
#> D17All2_75 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17All2_89 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D17All2_96 1 0.0000 0.914587 1.00 0.00 0.00 0.00
#> D17TGFB_18 2 0.0000 0.900582 0.00 1.00 0.00 0.00
#> D17TGFB_60 4 0.5535 0.507637 0.42 0.00 0.02 0.56
#> D17TGFB_62 4 0.5535 0.510696 0.42 0.00 0.02 0.56
#> D17TGFB_96 1 0.0000 0.914587 1.00 0.00 0.00 0.00
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 432 9.06e-08 2
#> ATC:skmeans 411 3.95e-11 3
#> ATC:skmeans 364 5.01e-09 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node011. Child nodes: Node01121-leaf , Node01122-leaf , Node01321-leaf , Node01322-leaf , Node02111-leaf , Node02112-leaf , Node02121-leaf , Node02122-leaf , Node02123-leaf , Node02211-leaf , Node02212-leaf , Node02213-leaf , Node02221-leaf , Node02222-leaf , Node02321-leaf , Node02322-leaf , Node02331-leaf , Node02332-leaf , Node02333-leaf .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["0112"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 3387 rows and 123 columns.
#> Top rows (339) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.964 0.985 0.439 0.563 0.563
#> 3 3 0.946 0.916 0.967 0.216 0.898 0.821
#> 4 4 0.749 0.762 0.897 0.134 0.944 0.885
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_63 2 0.000 0.981 0.00 1.00
#> D2ex_80 1 0.000 0.986 1.00 0.00
#> D2ex_93 1 0.000 0.986 1.00 0.00
#> D3en1_14 1 0.000 0.986 1.00 0.00
#> D3en1_16 2 0.000 0.981 0.00 1.00
#> D3en1_18 1 0.000 0.986 1.00 0.00
#> D3en1_19 1 0.000 0.986 1.00 0.00
#> D3en1_34 1 0.000 0.986 1.00 0.00
#> D3en1_42 2 0.000 0.981 0.00 1.00
#> D3en1_46 2 0.000 0.981 0.00 1.00
#> D3en1_81 2 0.000 0.981 0.00 1.00
#> D3en1_92 1 0.000 0.986 1.00 0.00
#> D3en1_95 1 0.000 0.986 1.00 0.00
#> D3en2_8 1 0.000 0.986 1.00 0.00
#> D3en2_49 1 0.000 0.986 1.00 0.00
#> D3en2_50 2 0.000 0.981 0.00 1.00
#> D3en2_65 1 0.000 0.986 1.00 0.00
#> D3en2_73 2 0.000 0.981 0.00 1.00
#> D3en2_84 2 0.327 0.925 0.06 0.94
#> D3en2_96 1 0.000 0.986 1.00 0.00
#> D3en3_3 1 0.000 0.986 1.00 0.00
#> D3en3_58 1 0.000 0.986 1.00 0.00
#> D3en4_1 1 0.000 0.986 1.00 0.00
#> D3en4_2 2 0.000 0.981 0.00 1.00
#> D3en4_5 1 0.000 0.986 1.00 0.00
#> D3en4_10 1 0.795 0.684 0.76 0.24
#> D3en4_11 2 0.000 0.981 0.00 1.00
#> D3en4_29 2 0.000 0.981 0.00 1.00
#> D3en4_36 1 0.000 0.986 1.00 0.00
#> D3en4_37 2 0.000 0.981 0.00 1.00
#> D3en4_53 1 0.000 0.986 1.00 0.00
#> D3en4_62 1 0.000 0.986 1.00 0.00
#> D3en4_79 1 0.000 0.986 1.00 0.00
#> D3ex_42 1 0.000 0.986 1.00 0.00
#> D3ex_58 2 0.000 0.981 0.00 1.00
#> D3ex_70 1 0.000 0.986 1.00 0.00
#> D3ex_72 2 0.000 0.981 0.00 1.00
#> D3ex_80 2 0.000 0.981 0.00 1.00
#> D3ex_87 2 0.000 0.981 0.00 1.00
#> D74_4 1 0.000 0.986 1.00 0.00
#> D74_38 1 0.000 0.986 1.00 0.00
#> D74_80 1 0.000 0.986 1.00 0.00
#> D71_46 2 0.680 0.777 0.18 0.82
#> D72_73 2 0.000 0.981 0.00 1.00
#> D73_75 1 0.000 0.986 1.00 0.00
#> D73_80 1 0.000 0.986 1.00 0.00
#> D73_88 1 0.000 0.986 1.00 0.00
#> D10631_1 1 0.000 0.986 1.00 0.00
#> D10631_4 1 0.760 0.719 0.78 0.22
#> D10631_5 1 0.000 0.986 1.00 0.00
#> D10631_6 1 0.000 0.986 1.00 0.00
#> D10631_8 1 0.000 0.986 1.00 0.00
#> D10631_9 2 0.000 0.981 0.00 1.00
#> D10631_11 2 0.000 0.981 0.00 1.00
#> D10631_16 1 0.000 0.986 1.00 0.00
#> D10631_18 1 0.000 0.986 1.00 0.00
#> D10631_19 1 0.943 0.435 0.64 0.36
#> D10631_20 1 0.000 0.986 1.00 0.00
#> D10631_22 1 0.000 0.986 1.00 0.00
#> D10631_23 2 0.000 0.981 0.00 1.00
#> D10631_25 1 0.000 0.986 1.00 0.00
#> D10631_36 1 0.000 0.986 1.00 0.00
#> D10631_37 2 0.000 0.981 0.00 1.00
#> D10631_39 2 0.000 0.981 0.00 1.00
#> D10631_41 1 0.000 0.986 1.00 0.00
#> D10631_42 1 0.000 0.986 1.00 0.00
#> D10631_43 2 0.000 0.981 0.00 1.00
#> D10631_44 1 0.795 0.685 0.76 0.24
#> D10631_55 2 0.000 0.981 0.00 1.00
#> D10631_58 2 0.000 0.981 0.00 1.00
#> D10631_60 1 0.242 0.948 0.96 0.04
#> D10631_62 2 0.000 0.981 0.00 1.00
#> D10631_64 2 0.000 0.981 0.00 1.00
#> D10631_72 2 0.000 0.981 0.00 1.00
#> D10631_73 2 0.000 0.981 0.00 1.00
#> D10631_74 2 0.000 0.981 0.00 1.00
#> D10631_87 2 0.000 0.981 0.00 1.00
#> D10631_93 2 0.141 0.964 0.02 0.98
#> D101_3 1 0.000 0.986 1.00 0.00
#> D101_39 1 0.000 0.986 1.00 0.00
#> D101_55 1 0.000 0.986 1.00 0.00
#> D101_57 1 0.000 0.986 1.00 0.00
#> D101_58 1 0.000 0.986 1.00 0.00
#> D101_60 1 0.000 0.986 1.00 0.00
#> D101_70 1 0.000 0.986 1.00 0.00
#> D101_71 1 0.000 0.986 1.00 0.00
#> D101_76 1 0.000 0.986 1.00 0.00
#> D101_79 1 0.000 0.986 1.00 0.00
#> D101_80 1 0.000 0.986 1.00 0.00
#> D101_88 2 0.000 0.981 0.00 1.00
#> D101_92 1 0.000 0.986 1.00 0.00
#> D102_2 1 0.000 0.986 1.00 0.00
#> D102_5 1 0.000 0.986 1.00 0.00
#> D102_9 1 0.000 0.986 1.00 0.00
#> D102_10 1 0.000 0.986 1.00 0.00
#> D102_12 1 0.000 0.986 1.00 0.00
#> D102_16 1 0.000 0.986 1.00 0.00
#> D102_19 1 0.000 0.986 1.00 0.00
#> D102_20 1 0.000 0.986 1.00 0.00
#> D102_29 1 0.000 0.986 1.00 0.00
#> D102_31 1 0.000 0.986 1.00 0.00
#> D102_42 1 0.000 0.986 1.00 0.00
#> D102_43 1 0.000 0.986 1.00 0.00
#> D102_46 1 0.000 0.986 1.00 0.00
#> D102_49 1 0.000 0.986 1.00 0.00
#> D102_52 1 0.000 0.986 1.00 0.00
#> D102_53 1 0.000 0.986 1.00 0.00
#> D102_56 1 0.000 0.986 1.00 0.00
#> D102_60 1 0.000 0.986 1.00 0.00
#> D102_62 1 0.000 0.986 1.00 0.00
#> D102_65 1 0.000 0.986 1.00 0.00
#> D102_67 1 0.000 0.986 1.00 0.00
#> D102_72 1 0.000 0.986 1.00 0.00
#> D102_74 1 0.000 0.986 1.00 0.00
#> D102_75 2 0.000 0.981 0.00 1.00
#> D102_77 1 0.000 0.986 1.00 0.00
#> D102_84 2 0.990 0.206 0.44 0.56
#> D102_85 2 0.141 0.964 0.02 0.98
#> D102_89 1 0.000 0.986 1.00 0.00
#> D102_95 1 0.000 0.986 1.00 0.00
#> D172444_40 1 0.000 0.986 1.00 0.00
#> D17All2_89 2 0.000 0.981 0.00 1.00
#> D17TGFB_18 2 0.000 0.981 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_63 2 0.0000 0.958 0.00 1.00 0.00
#> D2ex_80 1 0.0000 0.978 1.00 0.00 0.00
#> D2ex_93 1 0.0000 0.978 1.00 0.00 0.00
#> D3en1_14 1 0.0000 0.978 1.00 0.00 0.00
#> D3en1_16 2 0.0000 0.958 0.00 1.00 0.00
#> D3en1_18 1 0.5216 0.636 0.74 0.00 0.26
#> D3en1_19 1 0.0000 0.978 1.00 0.00 0.00
#> D3en1_34 1 0.0000 0.978 1.00 0.00 0.00
#> D3en1_42 2 0.0000 0.958 0.00 1.00 0.00
#> D3en1_46 2 0.0000 0.958 0.00 1.00 0.00
#> D3en1_81 2 0.0000 0.958 0.00 1.00 0.00
#> D3en1_92 1 0.0000 0.978 1.00 0.00 0.00
#> D3en1_95 1 0.0000 0.978 1.00 0.00 0.00
#> D3en2_8 1 0.0000 0.978 1.00 0.00 0.00
#> D3en2_49 1 0.0000 0.978 1.00 0.00 0.00
#> D3en2_50 2 0.0000 0.958 0.00 1.00 0.00
#> D3en2_65 1 0.0000 0.978 1.00 0.00 0.00
#> D3en2_73 2 0.0000 0.958 0.00 1.00 0.00
#> D3en2_84 2 0.6000 0.679 0.04 0.76 0.20
#> D3en2_96 1 0.0000 0.978 1.00 0.00 0.00
#> D3en3_3 1 0.0000 0.978 1.00 0.00 0.00
#> D3en3_58 1 0.0000 0.978 1.00 0.00 0.00
#> D3en4_1 1 0.0000 0.978 1.00 0.00 0.00
#> D3en4_2 2 0.0000 0.958 0.00 1.00 0.00
#> D3en4_5 1 0.0000 0.978 1.00 0.00 0.00
#> D3en4_10 1 0.6758 0.384 0.62 0.36 0.02
#> D3en4_11 2 0.0000 0.958 0.00 1.00 0.00
#> D3en4_29 2 0.0000 0.958 0.00 1.00 0.00
#> D3en4_36 1 0.0000 0.978 1.00 0.00 0.00
#> D3en4_37 2 0.0000 0.958 0.00 1.00 0.00
#> D3en4_53 1 0.0000 0.978 1.00 0.00 0.00
#> D3en4_62 1 0.0000 0.978 1.00 0.00 0.00
#> D3en4_79 1 0.0000 0.978 1.00 0.00 0.00
#> D3ex_42 1 0.0000 0.978 1.00 0.00 0.00
#> D3ex_58 2 0.0000 0.958 0.00 1.00 0.00
#> D3ex_70 1 0.0000 0.978 1.00 0.00 0.00
#> D3ex_72 2 0.0000 0.958 0.00 1.00 0.00
#> D3ex_80 2 0.0000 0.958 0.00 1.00 0.00
#> D3ex_87 2 0.0000 0.958 0.00 1.00 0.00
#> D74_4 1 0.0000 0.978 1.00 0.00 0.00
#> D74_38 1 0.0000 0.978 1.00 0.00 0.00
#> D74_80 1 0.0000 0.978 1.00 0.00 0.00
#> D71_46 3 0.0000 0.867 0.00 0.00 1.00
#> D72_73 2 0.0000 0.958 0.00 1.00 0.00
#> D73_75 1 0.0000 0.978 1.00 0.00 0.00
#> D73_80 1 0.0000 0.978 1.00 0.00 0.00
#> D73_88 1 0.6244 0.193 0.56 0.00 0.44
#> D10631_1 1 0.0000 0.978 1.00 0.00 0.00
#> D10631_4 3 0.0000 0.867 0.00 0.00 1.00
#> D10631_5 1 0.0000 0.978 1.00 0.00 0.00
#> D10631_6 1 0.0000 0.978 1.00 0.00 0.00
#> D10631_8 1 0.0892 0.959 0.98 0.00 0.02
#> D10631_9 2 0.0000 0.958 0.00 1.00 0.00
#> D10631_11 3 0.5016 0.641 0.00 0.24 0.76
#> D10631_16 1 0.0000 0.978 1.00 0.00 0.00
#> D10631_18 1 0.0000 0.978 1.00 0.00 0.00
#> D10631_19 3 0.0000 0.867 0.00 0.00 1.00
#> D10631_20 1 0.0000 0.978 1.00 0.00 0.00
#> D10631_22 1 0.6126 0.300 0.60 0.00 0.40
#> D10631_23 2 0.0000 0.958 0.00 1.00 0.00
#> D10631_25 1 0.0892 0.959 0.98 0.00 0.02
#> D10631_36 1 0.1529 0.940 0.96 0.00 0.04
#> D10631_37 2 0.0000 0.958 0.00 1.00 0.00
#> D10631_39 2 0.0000 0.958 0.00 1.00 0.00
#> D10631_41 1 0.0000 0.978 1.00 0.00 0.00
#> D10631_42 3 0.5835 0.480 0.34 0.00 0.66
#> D10631_43 2 0.0000 0.958 0.00 1.00 0.00
#> D10631_44 3 0.0000 0.867 0.00 0.00 1.00
#> D10631_55 2 0.6045 0.373 0.00 0.62 0.38
#> D10631_58 3 0.2959 0.806 0.00 0.10 0.90
#> D10631_60 3 0.0000 0.867 0.00 0.00 1.00
#> D10631_62 2 0.0000 0.958 0.00 1.00 0.00
#> D10631_64 2 0.3340 0.847 0.00 0.88 0.12
#> D10631_72 3 0.6126 0.287 0.00 0.40 0.60
#> D10631_73 2 0.0000 0.958 0.00 1.00 0.00
#> D10631_74 2 0.3340 0.845 0.00 0.88 0.12
#> D10631_87 2 0.0000 0.958 0.00 1.00 0.00
#> D10631_93 3 0.0000 0.867 0.00 0.00 1.00
#> D101_3 1 0.0000 0.978 1.00 0.00 0.00
#> D101_39 1 0.0000 0.978 1.00 0.00 0.00
#> D101_55 1 0.0000 0.978 1.00 0.00 0.00
#> D101_57 1 0.0000 0.978 1.00 0.00 0.00
#> D101_58 1 0.0000 0.978 1.00 0.00 0.00
#> D101_60 1 0.0000 0.978 1.00 0.00 0.00
#> D101_70 1 0.1529 0.940 0.96 0.00 0.04
#> D101_71 1 0.0000 0.978 1.00 0.00 0.00
#> D101_76 1 0.0000 0.978 1.00 0.00 0.00
#> D101_79 1 0.0000 0.978 1.00 0.00 0.00
#> D101_80 1 0.0000 0.978 1.00 0.00 0.00
#> D101_88 2 0.5560 0.570 0.00 0.70 0.30
#> D101_92 1 0.0000 0.978 1.00 0.00 0.00
#> D102_2 1 0.0000 0.978 1.00 0.00 0.00
#> D102_5 1 0.0000 0.978 1.00 0.00 0.00
#> D102_9 1 0.0000 0.978 1.00 0.00 0.00
#> D102_10 1 0.0000 0.978 1.00 0.00 0.00
#> D102_12 1 0.0000 0.978 1.00 0.00 0.00
#> D102_16 1 0.0000 0.978 1.00 0.00 0.00
#> D102_19 1 0.0000 0.978 1.00 0.00 0.00
#> D102_20 1 0.0000 0.978 1.00 0.00 0.00
#> D102_29 1 0.0000 0.978 1.00 0.00 0.00
#> D102_31 1 0.0000 0.978 1.00 0.00 0.00
#> D102_42 1 0.0000 0.978 1.00 0.00 0.00
#> D102_43 1 0.0000 0.978 1.00 0.00 0.00
#> D102_46 1 0.0000 0.978 1.00 0.00 0.00
#> D102_49 1 0.0000 0.978 1.00 0.00 0.00
#> D102_52 1 0.0000 0.978 1.00 0.00 0.00
#> D102_53 1 0.0000 0.978 1.00 0.00 0.00
#> D102_56 1 0.0000 0.978 1.00 0.00 0.00
#> D102_60 3 0.4796 0.654 0.22 0.00 0.78
#> D102_62 1 0.0000 0.978 1.00 0.00 0.00
#> D102_65 1 0.0000 0.978 1.00 0.00 0.00
#> D102_67 1 0.0000 0.978 1.00 0.00 0.00
#> D102_72 1 0.0000 0.978 1.00 0.00 0.00
#> D102_74 1 0.0000 0.978 1.00 0.00 0.00
#> D102_75 2 0.0000 0.958 0.00 1.00 0.00
#> D102_77 1 0.0000 0.978 1.00 0.00 0.00
#> D102_84 3 0.0000 0.867 0.00 0.00 1.00
#> D102_85 3 0.0892 0.860 0.00 0.02 0.98
#> D102_89 1 0.0000 0.978 1.00 0.00 0.00
#> D102_95 1 0.0000 0.978 1.00 0.00 0.00
#> D172444_40 1 0.0000 0.978 1.00 0.00 0.00
#> D17All2_89 3 0.1529 0.849 0.00 0.04 0.96
#> D17TGFB_18 2 0.0000 0.958 0.00 1.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_63 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D2ex_80 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D2ex_93 1 0.2345 0.8193 0.90 0.00 0.00 0.10
#> D3en1_14 1 0.4855 0.1044 0.60 0.00 0.00 0.40
#> D3en1_16 2 0.4277 0.6553 0.00 0.72 0.00 0.28
#> D3en1_18 1 0.7179 -0.3317 0.48 0.00 0.14 0.38
#> D3en1_19 4 0.5000 0.1606 0.50 0.00 0.00 0.50
#> D3en1_34 1 0.3975 0.6052 0.76 0.00 0.00 0.24
#> D3en1_42 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3en1_46 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3en1_81 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3en1_92 1 0.4522 0.4087 0.68 0.00 0.00 0.32
#> D3en1_95 1 0.2647 0.7949 0.88 0.00 0.00 0.12
#> D3en2_8 4 0.4277 0.6121 0.28 0.00 0.00 0.72
#> D3en2_49 1 0.4855 0.0983 0.60 0.00 0.00 0.40
#> D3en2_50 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3en2_65 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D3en2_73 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3en2_84 4 0.4332 0.2226 0.00 0.16 0.04 0.80
#> D3en2_96 1 0.2647 0.7943 0.88 0.00 0.00 0.12
#> D3en3_3 1 0.3610 0.7293 0.80 0.00 0.00 0.20
#> D3en3_58 1 0.2345 0.8191 0.90 0.00 0.00 0.10
#> D3en4_1 1 0.3975 0.6074 0.76 0.00 0.00 0.24
#> D3en4_2 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3en4_5 1 0.1211 0.8660 0.96 0.00 0.00 0.04
#> D3en4_10 4 0.3611 0.3713 0.06 0.08 0.00 0.86
#> D3en4_11 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3en4_29 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3en4_36 1 0.1637 0.8509 0.94 0.00 0.00 0.06
#> D3en4_37 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3en4_53 1 0.4277 0.5135 0.72 0.00 0.00 0.28
#> D3en4_62 4 0.4406 0.6121 0.30 0.00 0.00 0.70
#> D3en4_79 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D3ex_42 1 0.2345 0.8198 0.90 0.00 0.00 0.10
#> D3ex_58 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D3ex_70 1 0.2647 0.7931 0.88 0.00 0.00 0.12
#> D3ex_72 2 0.5915 0.3934 0.00 0.56 0.04 0.40
#> D3ex_80 2 0.1211 0.9033 0.00 0.96 0.00 0.04
#> D3ex_87 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D74_4 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D74_38 1 0.0707 0.8771 0.98 0.00 0.00 0.02
#> D74_80 1 0.2011 0.8482 0.92 0.00 0.00 0.08
#> D71_46 3 0.0707 0.7975 0.00 0.00 0.98 0.02
#> D72_73 2 0.1411 0.9049 0.00 0.96 0.02 0.02
#> D73_75 1 0.1211 0.8685 0.96 0.00 0.00 0.04
#> D73_80 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D73_88 1 0.7382 -0.0659 0.52 0.00 0.22 0.26
#> D10631_1 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D10631_4 3 0.4797 0.7242 0.02 0.00 0.72 0.26
#> D10631_5 1 0.2011 0.8481 0.92 0.00 0.00 0.08
#> D10631_6 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D10631_8 1 0.2335 0.8507 0.92 0.00 0.02 0.06
#> D10631_9 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D10631_11 3 0.5784 0.6547 0.00 0.20 0.70 0.10
#> D10631_16 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D10631_18 1 0.1211 0.8708 0.96 0.00 0.00 0.04
#> D10631_19 3 0.2647 0.7956 0.00 0.00 0.88 0.12
#> D10631_20 1 0.3610 0.7212 0.80 0.00 0.00 0.20
#> D10631_22 1 0.6921 0.1337 0.58 0.00 0.26 0.16
#> D10631_23 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D10631_25 1 0.4472 0.6453 0.76 0.00 0.02 0.22
#> D10631_36 1 0.5594 0.5547 0.72 0.00 0.10 0.18
#> D10631_37 2 0.0707 0.9160 0.00 0.98 0.02 0.00
#> D10631_39 2 0.0707 0.9175 0.00 0.98 0.00 0.02
#> D10631_41 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D10631_42 1 0.7139 -0.0928 0.50 0.00 0.36 0.14
#> D10631_43 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D10631_44 3 0.2011 0.7922 0.00 0.00 0.92 0.08
#> D10631_55 2 0.6766 0.1195 0.00 0.52 0.38 0.10
#> D10631_58 3 0.3525 0.7680 0.00 0.10 0.86 0.04
#> D10631_60 3 0.3400 0.7711 0.00 0.00 0.82 0.18
#> D10631_62 2 0.0707 0.9175 0.00 0.98 0.00 0.02
#> D10631_64 2 0.3198 0.8390 0.00 0.88 0.08 0.04
#> D10631_72 3 0.6941 0.3354 0.00 0.36 0.52 0.12
#> D10631_73 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D10631_74 2 0.4088 0.7701 0.00 0.82 0.14 0.04
#> D10631_87 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D10631_93 3 0.0000 0.7993 0.00 0.00 1.00 0.00
#> D101_3 1 0.0707 0.8745 0.98 0.00 0.00 0.02
#> D101_39 1 0.1211 0.8739 0.96 0.00 0.00 0.04
#> D101_55 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D101_57 1 0.1211 0.8739 0.96 0.00 0.00 0.04
#> D101_58 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D101_60 1 0.0707 0.8745 0.98 0.00 0.00 0.02
#> D101_70 1 0.4227 0.7119 0.82 0.00 0.06 0.12
#> D101_71 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D101_76 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D101_79 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D101_80 1 0.1637 0.8621 0.94 0.00 0.00 0.06
#> D101_88 2 0.6110 0.5308 0.00 0.66 0.24 0.10
#> D101_92 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D102_2 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_5 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_9 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D102_10 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D102_12 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_16 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_19 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_20 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D102_29 1 0.2011 0.8502 0.92 0.00 0.00 0.08
#> D102_31 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_42 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_43 1 0.1211 0.8768 0.96 0.00 0.00 0.04
#> D102_46 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D102_49 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_52 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_53 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D102_56 1 0.1637 0.8678 0.94 0.00 0.00 0.06
#> D102_60 3 0.7285 0.0638 0.30 0.00 0.52 0.18
#> D102_62 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D102_65 1 0.0707 0.8771 0.98 0.00 0.00 0.02
#> D102_67 1 0.1211 0.8739 0.96 0.00 0.00 0.04
#> D102_72 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_74 1 0.0000 0.8809 1.00 0.00 0.00 0.00
#> D102_75 2 0.0000 0.9269 0.00 1.00 0.00 0.00
#> D102_77 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D102_84 3 0.1211 0.7988 0.00 0.00 0.96 0.04
#> D102_85 3 0.3335 0.7847 0.00 0.02 0.86 0.12
#> D102_89 1 0.2011 0.8474 0.92 0.00 0.00 0.08
#> D102_95 1 0.0707 0.8802 0.98 0.00 0.00 0.02
#> D172444_40 1 0.0707 0.8771 0.98 0.00 0.00 0.02
#> D17All2_89 3 0.3611 0.7691 0.00 0.08 0.86 0.06
#> D17TGFB_18 2 0.2011 0.8851 0.00 0.92 0.00 0.08
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 121 0.3024 2
#> ATC:skmeans 117 0.0796 3
#> ATC:skmeans 109 0.0609 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node01. Child nodes: Node0111-leaf , Node0112 , Node0121-leaf , Node0122-leaf , Node0123-leaf , Node0131-leaf , Node0132 , Node0211 , Node0212 , Node0221 , Node0222 , Node0223-leaf , Node0231-leaf , Node0232 , Node0233 .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["012"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 8240 rows and 258 columns.
#> Top rows (824) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.995 0.998 0.495 0.506 0.506
#> 3 3 1.000 0.976 0.986 0.240 0.864 0.736
#> 4 4 0.821 0.946 0.952 0.118 0.931 0.823
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_13 2 0.000 1.000 0.00 1.00
#> D2ex_14 2 0.000 1.000 0.00 1.00
#> D2ex_23 2 0.000 1.000 0.00 1.00
#> D2ex_31 2 0.000 1.000 0.00 1.00
#> D2ex_32 2 0.000 1.000 0.00 1.00
#> D2ex_38 2 0.000 1.000 0.00 1.00
#> D2ex_39 1 0.000 0.996 1.00 0.00
#> D2ex_42 2 0.000 1.000 0.00 1.00
#> D2ex_49 2 0.000 1.000 0.00 1.00
#> D2ex_50 2 0.000 1.000 0.00 1.00
#> D2ex_77 2 0.000 1.000 0.00 1.00
#> D2ex_89 2 0.000 1.000 0.00 1.00
#> D3en1_1 2 0.000 1.000 0.00 1.00
#> D3en1_2 2 0.000 1.000 0.00 1.00
#> D3en1_3 1 0.000 0.996 1.00 0.00
#> D3en1_4 1 0.000 0.996 1.00 0.00
#> D3en1_17 1 0.000 0.996 1.00 0.00
#> D3en1_28 2 0.000 1.000 0.00 1.00
#> D3en1_29 2 0.000 1.000 0.00 1.00
#> D3en1_38 2 0.000 1.000 0.00 1.00
#> D3en1_50 2 0.000 1.000 0.00 1.00
#> D3en1_54 2 0.000 1.000 0.00 1.00
#> D3en1_55 1 0.000 0.996 1.00 0.00
#> D3en1_67 2 0.000 1.000 0.00 1.00
#> D3en1_79 2 0.000 1.000 0.00 1.00
#> D3en1_84 2 0.000 1.000 0.00 1.00
#> D3en1_89 2 0.000 1.000 0.00 1.00
#> D3en1_93 1 0.000 0.996 1.00 0.00
#> D3en1_94 2 0.000 1.000 0.00 1.00
#> D3en2_3 2 0.000 1.000 0.00 1.00
#> D3en2_7 2 0.000 1.000 0.00 1.00
#> D3en2_17 1 0.000 0.996 1.00 0.00
#> D3en2_52 1 0.000 0.996 1.00 0.00
#> D3en2_56 1 0.000 0.996 1.00 0.00
#> D3en2_57 2 0.000 1.000 0.00 1.00
#> D3en2_58 1 0.000 0.996 1.00 0.00
#> D3en2_62 2 0.000 1.000 0.00 1.00
#> D3en2_64 2 0.000 1.000 0.00 1.00
#> D3en2_85 2 0.000 1.000 0.00 1.00
#> D3en2_91 2 0.000 1.000 0.00 1.00
#> D3en2_92 2 0.000 1.000 0.00 1.00
#> D3en2_93 2 0.000 1.000 0.00 1.00
#> D3en3_1 2 0.000 1.000 0.00 1.00
#> D3en3_6 2 0.000 1.000 0.00 1.00
#> D3en3_11 2 0.000 1.000 0.00 1.00
#> D3en3_21 2 0.000 1.000 0.00 1.00
#> D3en3_29 1 0.000 0.996 1.00 0.00
#> D3en3_32 2 0.000 1.000 0.00 1.00
#> D3en3_36 2 0.000 1.000 0.00 1.00
#> D3en3_44 2 0.000 1.000 0.00 1.00
#> D3en3_50 2 0.000 1.000 0.00 1.00
#> D3en3_52 2 0.000 1.000 0.00 1.00
#> D3en3_53 2 0.000 1.000 0.00 1.00
#> D3en3_54 1 0.000 0.996 1.00 0.00
#> D3en3_59 2 0.000 1.000 0.00 1.00
#> D3en3_65 1 0.000 0.996 1.00 0.00
#> D3en3_75 1 0.000 0.996 1.00 0.00
#> D3en3_86 2 0.000 1.000 0.00 1.00
#> D3en3_89 2 0.000 1.000 0.00 1.00
#> D3en4_22 1 0.000 0.996 1.00 0.00
#> D3en4_33 1 0.000 0.996 1.00 0.00
#> D3en4_38 2 0.000 1.000 0.00 1.00
#> D3en4_43 2 0.000 1.000 0.00 1.00
#> D3en4_85 2 0.000 1.000 0.00 1.00
#> D3en4_89 2 0.000 1.000 0.00 1.00
#> D3ex_3 2 0.000 1.000 0.00 1.00
#> D3ex_12 2 0.000 1.000 0.00 1.00
#> D3ex_41 1 0.000 0.996 1.00 0.00
#> D3ex_48 1 0.000 0.996 1.00 0.00
#> D3ex_55 2 0.000 1.000 0.00 1.00
#> D3ex_66 1 0.000 0.996 1.00 0.00
#> D3ex_68 2 0.000 1.000 0.00 1.00
#> D3ex_77 1 0.000 0.996 1.00 0.00
#> D3ex_88 1 0.000 0.996 1.00 0.00
#> D3ex_92 2 0.000 1.000 0.00 1.00
#> D74_12 1 0.000 0.996 1.00 0.00
#> D74_21 1 0.000 0.996 1.00 0.00
#> D74_26 2 0.000 1.000 0.00 1.00
#> D74_28 2 0.000 1.000 0.00 1.00
#> D74_59 1 0.000 0.996 1.00 0.00
#> D74_64 1 0.000 0.996 1.00 0.00
#> D74_73 2 0.000 1.000 0.00 1.00
#> D74_74 2 0.000 1.000 0.00 1.00
#> D71_1 2 0.000 1.000 0.00 1.00
#> D71_7 1 0.000 0.996 1.00 0.00
#> D71_8 2 0.000 1.000 0.00 1.00
#> D71_11 2 0.000 1.000 0.00 1.00
#> D71_17 1 0.000 0.996 1.00 0.00
#> D71_26 1 0.000 0.996 1.00 0.00
#> D71_28 2 0.000 1.000 0.00 1.00
#> D71_32 1 0.000 0.996 1.00 0.00
#> D71_36 1 0.000 0.996 1.00 0.00
#> D71_38 1 0.000 0.996 1.00 0.00
#> D71_44 2 0.000 1.000 0.00 1.00
#> D71_45 2 0.000 1.000 0.00 1.00
#> D71_47 1 0.000 0.996 1.00 0.00
#> D71_49 1 0.000 0.996 1.00 0.00
#> D71_51 1 0.000 0.996 1.00 0.00
#> D71_59 1 0.000 0.996 1.00 0.00
#> D71_60 2 0.000 1.000 0.00 1.00
#> D71_63 1 0.000 0.996 1.00 0.00
#> D71_73 2 0.000 1.000 0.00 1.00
#> D71_84 1 0.000 0.996 1.00 0.00
#> D71_88 1 0.000 0.996 1.00 0.00
#> D71_90 1 0.000 0.996 1.00 0.00
#> D71_93 1 0.000 0.996 1.00 0.00
#> D72_2 1 0.000 0.996 1.00 0.00
#> D72_3 2 0.000 1.000 0.00 1.00
#> D72_5 1 0.000 0.996 1.00 0.00
#> D72_8 1 0.000 0.996 1.00 0.00
#> D72_9 1 0.000 0.996 1.00 0.00
#> D72_10 1 0.000 0.996 1.00 0.00
#> D72_13 2 0.000 1.000 0.00 1.00
#> D72_15 2 0.000 1.000 0.00 1.00
#> D72_16 1 0.000 0.996 1.00 0.00
#> D72_20 1 0.000 0.996 1.00 0.00
#> D72_21 1 0.000 0.996 1.00 0.00
#> D72_23 2 0.000 1.000 0.00 1.00
#> D72_25 2 0.000 1.000 0.00 1.00
#> D72_28 2 0.000 1.000 0.00 1.00
#> D72_29 1 0.000 0.996 1.00 0.00
#> D72_30 1 0.000 0.996 1.00 0.00
#> D72_32 2 0.000 1.000 0.00 1.00
#> D72_34 2 0.000 1.000 0.00 1.00
#> D72_35 2 0.000 1.000 0.00 1.00
#> D72_36 1 0.000 0.996 1.00 0.00
#> D72_38 1 0.000 0.996 1.00 0.00
#> D72_39 1 0.000 0.996 1.00 0.00
#> D72_40 2 0.000 1.000 0.00 1.00
#> D72_41 1 0.000 0.996 1.00 0.00
#> D72_42 1 0.000 0.996 1.00 0.00
#> D72_45 1 0.000 0.996 1.00 0.00
#> D72_46 2 0.000 1.000 0.00 1.00
#> D72_47 1 0.000 0.996 1.00 0.00
#> D72_48 1 0.000 0.996 1.00 0.00
#> D72_50 2 0.000 1.000 0.00 1.00
#> D72_52 2 0.000 1.000 0.00 1.00
#> D72_54 1 0.000 0.996 1.00 0.00
#> D72_55 1 0.000 0.996 1.00 0.00
#> D72_57 1 0.000 0.996 1.00 0.00
#> D72_59 1 0.000 0.996 1.00 0.00
#> D72_62 2 0.000 1.000 0.00 1.00
#> D72_64 1 0.000 0.996 1.00 0.00
#> D72_70 1 0.000 0.996 1.00 0.00
#> D72_71 1 0.000 0.996 1.00 0.00
#> D72_74 1 0.000 0.996 1.00 0.00
#> D72_75 1 0.000 0.996 1.00 0.00
#> D72_77 1 0.000 0.996 1.00 0.00
#> D72_79 1 0.000 0.996 1.00 0.00
#> D72_80 2 0.000 1.000 0.00 1.00
#> D72_83 2 0.000 1.000 0.00 1.00
#> D72_84 1 0.000 0.996 1.00 0.00
#> D72_85 1 0.000 0.996 1.00 0.00
#> D72_87 1 0.000 0.996 1.00 0.00
#> D72_90 2 0.000 1.000 0.00 1.00
#> D72_92 1 0.000 0.996 1.00 0.00
#> D73_7 1 0.000 0.996 1.00 0.00
#> D73_13 2 0.000 1.000 0.00 1.00
#> D73_20 1 0.000 0.996 1.00 0.00
#> D73_30 1 0.000 0.996 1.00 0.00
#> D73_36 1 0.000 0.996 1.00 0.00
#> D73_38 1 0.000 0.996 1.00 0.00
#> D73_44 1 0.000 0.996 1.00 0.00
#> D73_45 1 0.000 0.996 1.00 0.00
#> D73_49 2 0.000 1.000 0.00 1.00
#> D73_50 2 0.000 1.000 0.00 1.00
#> D73_89 2 0.000 1.000 0.00 1.00
#> D73_90 1 0.000 0.996 1.00 0.00
#> D10631_2 2 0.000 1.000 0.00 1.00
#> D10631_3 2 0.000 1.000 0.00 1.00
#> D10631_10 2 0.000 1.000 0.00 1.00
#> D10631_26 2 0.000 1.000 0.00 1.00
#> D10631_33 2 0.000 1.000 0.00 1.00
#> D10631_38 2 0.000 1.000 0.00 1.00
#> D10631_40 2 0.000 1.000 0.00 1.00
#> D10631_50 2 0.000 1.000 0.00 1.00
#> D10631_88 2 0.000 1.000 0.00 1.00
#> D101_1 1 0.000 0.996 1.00 0.00
#> D101_5 1 0.000 0.996 1.00 0.00
#> D101_28 1 0.000 0.996 1.00 0.00
#> D101_73 1 0.855 0.614 0.72 0.28
#> D101_89 1 0.000 0.996 1.00 0.00
#> D101_91 2 0.000 1.000 0.00 1.00
#> D102_3 2 0.000 1.000 0.00 1.00
#> D102_40 1 0.000 0.996 1.00 0.00
#> D102_94 1 0.000 0.996 1.00 0.00
#> D1713_6 2 0.000 1.000 0.00 1.00
#> D1713_18 1 0.000 0.996 1.00 0.00
#> D1713_24 2 0.000 1.000 0.00 1.00
#> D1713_37 2 0.000 1.000 0.00 1.00
#> D1713_78 2 0.000 1.000 0.00 1.00
#> D1713_96 1 0.000 0.996 1.00 0.00
#> D172444_2 1 0.000 0.996 1.00 0.00
#> D172444_3 1 0.000 0.996 1.00 0.00
#> D172444_4 1 0.000 0.996 1.00 0.00
#> D172444_10 1 0.000 0.996 1.00 0.00
#> D172444_11 1 0.000 0.996 1.00 0.00
#> D172444_12 1 0.000 0.996 1.00 0.00
#> D172444_14 1 0.000 0.996 1.00 0.00
#> D172444_15 2 0.000 1.000 0.00 1.00
#> D172444_16 2 0.000 1.000 0.00 1.00
#> D172444_17 1 0.000 0.996 1.00 0.00
#> D172444_20 1 0.000 0.996 1.00 0.00
#> D172444_22 1 0.000 0.996 1.00 0.00
#> D172444_23 1 0.000 0.996 1.00 0.00
#> D172444_24 1 0.000 0.996 1.00 0.00
#> D172444_25 1 0.000 0.996 1.00 0.00
#> D172444_26 1 0.000 0.996 1.00 0.00
#> D172444_27 1 0.000 0.996 1.00 0.00
#> D172444_28 1 0.000 0.996 1.00 0.00
#> D172444_30 1 0.000 0.996 1.00 0.00
#> D172444_31 1 0.000 0.996 1.00 0.00
#> D172444_33 1 0.000 0.996 1.00 0.00
#> D172444_34 1 0.000 0.996 1.00 0.00
#> D172444_35 1 0.000 0.996 1.00 0.00
#> D172444_41 1 0.000 0.996 1.00 0.00
#> D172444_46 1 0.000 0.996 1.00 0.00
#> D172444_50 1 0.000 0.996 1.00 0.00
#> D172444_52 1 0.000 0.996 1.00 0.00
#> D172444_53 1 0.000 0.996 1.00 0.00
#> D172444_58 1 0.000 0.996 1.00 0.00
#> D172444_59 2 0.000 1.000 0.00 1.00
#> D172444_61 1 0.000 0.996 1.00 0.00
#> D172444_63 1 0.000 0.996 1.00 0.00
#> D172444_64 1 0.000 0.996 1.00 0.00
#> D172444_68 1 0.000 0.996 1.00 0.00
#> D172444_69 1 0.000 0.996 1.00 0.00
#> D172444_70 1 0.000 0.996 1.00 0.00
#> D172444_74 1 0.000 0.996 1.00 0.00
#> D172444_75 1 0.000 0.996 1.00 0.00
#> D172444_80 1 0.000 0.996 1.00 0.00
#> D172444_82 1 0.000 0.996 1.00 0.00
#> D172444_84 1 0.000 0.996 1.00 0.00
#> D172444_88 1 0.000 0.996 1.00 0.00
#> D172444_89 2 0.000 1.000 0.00 1.00
#> D172444_90 1 0.000 0.996 1.00 0.00
#> D172444_92 1 0.000 0.996 1.00 0.00
#> D17All1_34 1 0.000 0.996 1.00 0.00
#> D17All1_67 1 0.000 0.996 1.00 0.00
#> D17All2_25 1 0.000 0.996 1.00 0.00
#> D17All2_31 1 0.000 0.996 1.00 0.00
#> D17All2_32 1 0.000 0.996 1.00 0.00
#> D17All2_33 1 0.000 0.996 1.00 0.00
#> D17All2_35 1 0.000 0.996 1.00 0.00
#> D17All2_51 2 0.141 0.979 0.02 0.98
#> D17All2_67 2 0.000 1.000 0.00 1.00
#> D17All2_73 1 0.000 0.996 1.00 0.00
#> D17All2_82 1 0.000 0.996 1.00 0.00
#> D17TGFB_16 1 0.000 0.996 1.00 0.00
#> D17TGFB_25 2 0.000 1.000 0.00 1.00
#> D17TGFB_26 2 0.000 1.000 0.00 1.00
#> D17TGFB_28 2 0.000 1.000 0.00 1.00
#> D17TGFB_30 1 0.000 0.996 1.00 0.00
#> D17TGFB_32 2 0.000 1.000 0.00 1.00
#> D17TGFB_40 1 0.000 0.996 1.00 0.00
#> D17TGFB_42 1 0.827 0.651 0.74 0.26
#> D17TGFB_50 1 0.000 0.996 1.00 0.00
#> D17TGFB_84 2 0.000 1.000 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_13 2 0.0000 0.994 0.00 1.00 0.00
#> D2ex_14 2 0.0000 0.994 0.00 1.00 0.00
#> D2ex_23 2 0.0000 0.994 0.00 1.00 0.00
#> D2ex_31 2 0.0000 0.994 0.00 1.00 0.00
#> D2ex_32 2 0.0000 0.994 0.00 1.00 0.00
#> D2ex_38 2 0.0000 0.994 0.00 1.00 0.00
#> D2ex_39 1 0.0000 0.985 1.00 0.00 0.00
#> D2ex_42 3 0.4291 0.777 0.00 0.18 0.82
#> D2ex_49 3 0.0892 0.952 0.00 0.02 0.98
#> D2ex_50 2 0.0892 0.987 0.00 0.98 0.02
#> D2ex_77 2 0.0000 0.994 0.00 1.00 0.00
#> D2ex_89 2 0.0000 0.994 0.00 1.00 0.00
#> D3en1_1 2 0.0892 0.987 0.00 0.98 0.02
#> D3en1_2 2 0.0000 0.994 0.00 1.00 0.00
#> D3en1_3 3 0.0892 0.968 0.02 0.00 0.98
#> D3en1_4 1 0.0000 0.985 1.00 0.00 0.00
#> D3en1_17 1 0.0000 0.985 1.00 0.00 0.00
#> D3en1_28 2 0.0000 0.994 0.00 1.00 0.00
#> D3en1_29 3 0.0000 0.962 0.00 0.00 1.00
#> D3en1_38 2 0.0892 0.987 0.00 0.98 0.02
#> D3en1_50 2 0.0000 0.994 0.00 1.00 0.00
#> D3en1_54 2 0.0892 0.987 0.00 0.98 0.02
#> D3en1_55 1 0.0892 0.981 0.98 0.00 0.02
#> D3en1_67 2 0.0000 0.994 0.00 1.00 0.00
#> D3en1_79 3 0.2066 0.933 0.00 0.06 0.94
#> D3en1_84 2 0.0892 0.987 0.00 0.98 0.02
#> D3en1_89 2 0.0000 0.994 0.00 1.00 0.00
#> D3en1_93 3 0.0892 0.968 0.02 0.00 0.98
#> D3en1_94 2 0.0892 0.987 0.00 0.98 0.02
#> D3en2_3 2 0.0000 0.994 0.00 1.00 0.00
#> D3en2_7 2 0.0892 0.987 0.00 0.98 0.02
#> D3en2_17 1 0.0000 0.985 1.00 0.00 0.00
#> D3en2_52 1 0.0892 0.981 0.98 0.00 0.02
#> D3en2_56 1 0.0000 0.985 1.00 0.00 0.00
#> D3en2_57 2 0.0892 0.987 0.00 0.98 0.02
#> D3en2_58 1 0.0892 0.981 0.98 0.00 0.02
#> D3en2_62 2 0.0000 0.994 0.00 1.00 0.00
#> D3en2_64 2 0.0892 0.987 0.00 0.98 0.02
#> D3en2_85 2 0.0892 0.987 0.00 0.98 0.02
#> D3en2_91 2 0.0000 0.994 0.00 1.00 0.00
#> D3en2_92 2 0.0892 0.987 0.00 0.98 0.02
#> D3en2_93 2 0.0892 0.987 0.00 0.98 0.02
#> D3en3_1 2 0.0892 0.987 0.00 0.98 0.02
#> D3en3_6 3 0.0892 0.952 0.00 0.02 0.98
#> D3en3_11 2 0.0000 0.994 0.00 1.00 0.00
#> D3en3_21 2 0.0892 0.987 0.00 0.98 0.02
#> D3en3_29 1 0.0000 0.985 1.00 0.00 0.00
#> D3en3_32 2 0.0000 0.994 0.00 1.00 0.00
#> D3en3_36 2 0.0892 0.987 0.00 0.98 0.02
#> D3en3_44 2 0.0892 0.987 0.00 0.98 0.02
#> D3en3_50 2 0.0892 0.987 0.00 0.98 0.02
#> D3en3_52 2 0.0892 0.987 0.00 0.98 0.02
#> D3en3_53 2 0.0000 0.994 0.00 1.00 0.00
#> D3en3_54 1 0.0000 0.985 1.00 0.00 0.00
#> D3en3_59 2 0.0892 0.987 0.00 0.98 0.02
#> D3en3_65 1 0.0000 0.985 1.00 0.00 0.00
#> D3en3_75 3 0.0892 0.968 0.02 0.00 0.98
#> D3en3_86 2 0.0892 0.987 0.00 0.98 0.02
#> D3en3_89 2 0.0892 0.987 0.00 0.98 0.02
#> D3en4_22 1 0.0892 0.981 0.98 0.00 0.02
#> D3en4_33 3 0.0892 0.968 0.02 0.00 0.98
#> D3en4_38 2 0.0892 0.987 0.00 0.98 0.02
#> D3en4_43 2 0.0892 0.987 0.00 0.98 0.02
#> D3en4_85 2 0.0892 0.987 0.00 0.98 0.02
#> D3en4_89 2 0.0892 0.987 0.00 0.98 0.02
#> D3ex_3 2 0.0000 0.994 0.00 1.00 0.00
#> D3ex_12 2 0.0000 0.994 0.00 1.00 0.00
#> D3ex_41 1 0.0000 0.985 1.00 0.00 0.00
#> D3ex_48 1 0.0000 0.985 1.00 0.00 0.00
#> D3ex_55 2 0.0892 0.987 0.00 0.98 0.02
#> D3ex_66 1 0.0000 0.985 1.00 0.00 0.00
#> D3ex_68 2 0.0892 0.987 0.00 0.98 0.02
#> D3ex_77 3 0.0000 0.962 0.00 0.00 1.00
#> D3ex_88 1 0.0000 0.985 1.00 0.00 0.00
#> D3ex_92 2 0.0000 0.994 0.00 1.00 0.00
#> D74_12 1 0.0000 0.985 1.00 0.00 0.00
#> D74_21 3 0.0000 0.962 0.00 0.00 1.00
#> D74_26 3 0.1529 0.947 0.00 0.04 0.96
#> D74_28 2 0.0000 0.994 0.00 1.00 0.00
#> D74_59 1 0.0892 0.981 0.98 0.00 0.02
#> D74_64 1 0.0000 0.985 1.00 0.00 0.00
#> D74_73 2 0.0000 0.994 0.00 1.00 0.00
#> D74_74 2 0.0000 0.994 0.00 1.00 0.00
#> D71_1 2 0.0892 0.987 0.00 0.98 0.02
#> D71_7 1 0.0000 0.985 1.00 0.00 0.00
#> D71_8 2 0.0892 0.975 0.02 0.98 0.00
#> D71_11 2 0.0000 0.994 0.00 1.00 0.00
#> D71_17 1 0.0892 0.981 0.98 0.00 0.02
#> D71_26 1 0.0000 0.985 1.00 0.00 0.00
#> D71_28 2 0.0000 0.994 0.00 1.00 0.00
#> D71_32 1 0.0000 0.985 1.00 0.00 0.00
#> D71_36 1 0.0000 0.985 1.00 0.00 0.00
#> D71_38 1 0.0000 0.985 1.00 0.00 0.00
#> D71_44 2 0.0000 0.994 0.00 1.00 0.00
#> D71_45 2 0.0000 0.994 0.00 1.00 0.00
#> D71_47 1 0.0000 0.985 1.00 0.00 0.00
#> D71_49 1 0.0000 0.985 1.00 0.00 0.00
#> D71_51 1 0.0000 0.985 1.00 0.00 0.00
#> D71_59 1 0.5835 0.497 0.66 0.00 0.34
#> D71_60 2 0.0000 0.994 0.00 1.00 0.00
#> D71_63 1 0.0000 0.985 1.00 0.00 0.00
#> D71_73 2 0.0000 0.994 0.00 1.00 0.00
#> D71_84 1 0.0000 0.985 1.00 0.00 0.00
#> D71_88 1 0.0000 0.985 1.00 0.00 0.00
#> D71_90 1 0.0000 0.985 1.00 0.00 0.00
#> D71_93 1 0.0892 0.981 0.98 0.00 0.02
#> D72_2 1 0.0000 0.985 1.00 0.00 0.00
#> D72_3 2 0.0000 0.994 0.00 1.00 0.00
#> D72_5 1 0.6045 0.397 0.62 0.00 0.38
#> D72_8 3 0.0892 0.968 0.02 0.00 0.98
#> D72_9 1 0.0000 0.985 1.00 0.00 0.00
#> D72_10 3 0.0892 0.968 0.02 0.00 0.98
#> D72_13 2 0.0000 0.994 0.00 1.00 0.00
#> D72_15 2 0.0000 0.994 0.00 1.00 0.00
#> D72_16 1 0.0000 0.985 1.00 0.00 0.00
#> D72_20 1 0.0000 0.985 1.00 0.00 0.00
#> D72_21 1 0.0000 0.985 1.00 0.00 0.00
#> D72_23 2 0.0000 0.994 0.00 1.00 0.00
#> D72_25 2 0.0000 0.994 0.00 1.00 0.00
#> D72_28 2 0.0000 0.994 0.00 1.00 0.00
#> D72_29 3 0.0892 0.968 0.02 0.00 0.98
#> D72_30 1 0.0000 0.985 1.00 0.00 0.00
#> D72_32 2 0.0000 0.994 0.00 1.00 0.00
#> D72_34 2 0.0000 0.994 0.00 1.00 0.00
#> D72_35 2 0.0000 0.994 0.00 1.00 0.00
#> D72_36 1 0.0000 0.985 1.00 0.00 0.00
#> D72_38 1 0.0000 0.985 1.00 0.00 0.00
#> D72_39 3 0.2537 0.915 0.08 0.00 0.92
#> D72_40 2 0.0000 0.994 0.00 1.00 0.00
#> D72_41 1 0.0000 0.985 1.00 0.00 0.00
#> D72_42 1 0.0892 0.981 0.98 0.00 0.02
#> D72_45 1 0.0000 0.985 1.00 0.00 0.00
#> D72_46 2 0.0000 0.994 0.00 1.00 0.00
#> D72_47 1 0.0892 0.981 0.98 0.00 0.02
#> D72_48 1 0.0892 0.981 0.98 0.00 0.02
#> D72_50 2 0.0000 0.994 0.00 1.00 0.00
#> D72_52 2 0.0000 0.994 0.00 1.00 0.00
#> D72_54 1 0.0892 0.981 0.98 0.00 0.02
#> D72_55 1 0.0000 0.985 1.00 0.00 0.00
#> D72_57 1 0.0000 0.985 1.00 0.00 0.00
#> D72_59 1 0.0892 0.981 0.98 0.00 0.02
#> D72_62 2 0.0000 0.994 0.00 1.00 0.00
#> D72_64 1 0.0892 0.981 0.98 0.00 0.02
#> D72_70 1 0.0000 0.985 1.00 0.00 0.00
#> D72_71 1 0.0892 0.981 0.98 0.00 0.02
#> D72_74 1 0.0000 0.985 1.00 0.00 0.00
#> D72_75 1 0.0000 0.985 1.00 0.00 0.00
#> D72_77 1 0.0000 0.985 1.00 0.00 0.00
#> D72_79 1 0.0892 0.981 0.98 0.00 0.02
#> D72_80 2 0.0000 0.994 0.00 1.00 0.00
#> D72_83 2 0.0000 0.994 0.00 1.00 0.00
#> D72_84 1 0.0000 0.985 1.00 0.00 0.00
#> D72_85 1 0.0892 0.981 0.98 0.00 0.02
#> D72_87 1 0.0000 0.985 1.00 0.00 0.00
#> D72_90 2 0.0000 0.994 0.00 1.00 0.00
#> D72_92 1 0.0892 0.981 0.98 0.00 0.02
#> D73_7 1 0.0000 0.985 1.00 0.00 0.00
#> D73_13 2 0.0000 0.994 0.00 1.00 0.00
#> D73_20 1 0.0892 0.981 0.98 0.00 0.02
#> D73_30 1 0.0000 0.985 1.00 0.00 0.00
#> D73_36 1 0.0892 0.981 0.98 0.00 0.02
#> D73_38 3 0.0892 0.968 0.02 0.00 0.98
#> D73_44 1 0.0000 0.985 1.00 0.00 0.00
#> D73_45 1 0.0000 0.985 1.00 0.00 0.00
#> D73_49 2 0.0000 0.994 0.00 1.00 0.00
#> D73_50 2 0.0000 0.994 0.00 1.00 0.00
#> D73_89 2 0.0000 0.994 0.00 1.00 0.00
#> D73_90 1 0.0000 0.985 1.00 0.00 0.00
#> D10631_2 2 0.0000 0.994 0.00 1.00 0.00
#> D10631_3 2 0.0000 0.994 0.00 1.00 0.00
#> D10631_10 3 0.0892 0.952 0.00 0.02 0.98
#> D10631_26 3 0.1529 0.947 0.00 0.04 0.96
#> D10631_33 2 0.0000 0.994 0.00 1.00 0.00
#> D10631_38 3 0.3340 0.857 0.00 0.12 0.88
#> D10631_40 2 0.0892 0.987 0.00 0.98 0.02
#> D10631_50 2 0.0000 0.994 0.00 1.00 0.00
#> D10631_88 3 0.0000 0.962 0.00 0.00 1.00
#> D101_1 1 0.0000 0.985 1.00 0.00 0.00
#> D101_5 1 0.0892 0.981 0.98 0.00 0.02
#> D101_28 1 0.0000 0.985 1.00 0.00 0.00
#> D101_73 3 0.0000 0.962 0.00 0.00 1.00
#> D101_89 1 0.0000 0.985 1.00 0.00 0.00
#> D101_91 2 0.0892 0.987 0.00 0.98 0.02
#> D102_3 2 0.0000 0.994 0.00 1.00 0.00
#> D102_40 3 0.2066 0.935 0.06 0.00 0.94
#> D102_94 1 0.0000 0.985 1.00 0.00 0.00
#> D1713_6 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_18 1 0.0000 0.985 1.00 0.00 0.00
#> D1713_24 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_37 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_78 2 0.0892 0.987 0.00 0.98 0.02
#> D1713_96 3 0.0892 0.968 0.02 0.00 0.98
#> D172444_2 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_3 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_4 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_10 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_11 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_12 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_14 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_15 2 0.0000 0.994 0.00 1.00 0.00
#> D172444_16 2 0.0000 0.994 0.00 1.00 0.00
#> D172444_17 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_20 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_22 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_23 3 0.0892 0.968 0.02 0.00 0.98
#> D172444_24 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_25 3 0.0892 0.968 0.02 0.00 0.98
#> D172444_26 3 0.0892 0.968 0.02 0.00 0.98
#> D172444_27 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_28 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_30 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_31 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_33 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_34 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_35 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_41 3 0.0892 0.968 0.02 0.00 0.98
#> D172444_46 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_50 3 0.0892 0.968 0.02 0.00 0.98
#> D172444_52 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_53 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_58 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_59 2 0.0000 0.994 0.00 1.00 0.00
#> D172444_61 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_63 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_64 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_68 1 0.0892 0.981 0.98 0.00 0.02
#> D172444_69 3 0.0892 0.968 0.02 0.00 0.98
#> D172444_70 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_74 1 0.2066 0.931 0.94 0.00 0.06
#> D172444_75 3 0.0892 0.968 0.02 0.00 0.98
#> D172444_80 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_82 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_84 1 0.0000 0.985 1.00 0.00 0.00
#> D172444_88 1 0.1529 0.965 0.96 0.00 0.04
#> D172444_89 2 0.0000 0.994 0.00 1.00 0.00
#> D172444_90 3 0.5216 0.657 0.26 0.00 0.74
#> D172444_92 1 0.0892 0.981 0.98 0.00 0.02
#> D17All1_34 1 0.0000 0.985 1.00 0.00 0.00
#> D17All1_67 1 0.0000 0.985 1.00 0.00 0.00
#> D17All2_25 1 0.0000 0.985 1.00 0.00 0.00
#> D17All2_31 3 0.0892 0.968 0.02 0.00 0.98
#> D17All2_32 1 0.0892 0.981 0.98 0.00 0.02
#> D17All2_33 3 0.0000 0.962 0.00 0.00 1.00
#> D17All2_35 3 0.0892 0.968 0.02 0.00 0.98
#> D17All2_51 3 0.0892 0.952 0.00 0.02 0.98
#> D17All2_67 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_73 1 0.0000 0.985 1.00 0.00 0.00
#> D17All2_82 1 0.0000 0.985 1.00 0.00 0.00
#> D17TGFB_16 1 0.0892 0.981 0.98 0.00 0.02
#> D17TGFB_25 2 0.0000 0.994 0.00 1.00 0.00
#> D17TGFB_26 2 0.0892 0.987 0.00 0.98 0.02
#> D17TGFB_28 2 0.0000 0.994 0.00 1.00 0.00
#> D17TGFB_30 1 0.0892 0.981 0.98 0.00 0.02
#> D17TGFB_32 2 0.0892 0.987 0.00 0.98 0.02
#> D17TGFB_40 1 0.0892 0.981 0.98 0.00 0.02
#> D17TGFB_42 3 0.0000 0.962 0.00 0.00 1.00
#> D17TGFB_50 1 0.0892 0.981 0.98 0.00 0.02
#> D17TGFB_84 2 0.0000 0.994 0.00 1.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_13 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D2ex_14 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D2ex_23 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D2ex_31 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D2ex_32 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D2ex_38 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D2ex_39 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D2ex_42 3 0.4079 0.7403 0.00 0.02 0.80 0.18
#> D2ex_49 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D2ex_50 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D2ex_77 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D2ex_89 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en1_1 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en1_2 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en1_3 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D3en1_4 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D3en1_17 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D3en1_28 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en1_29 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D3en1_38 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en1_50 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en1_54 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en1_55 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D3en1_67 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en1_79 3 0.4948 0.2184 0.00 0.44 0.56 0.00
#> D3en1_84 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en1_89 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en1_93 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D3en1_94 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en2_3 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en2_7 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en2_17 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D3en2_52 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D3en2_56 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D3en2_57 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en2_58 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D3en2_62 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en2_64 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en2_85 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en2_91 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en2_92 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en2_93 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en3_1 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en3_6 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D3en3_11 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en3_21 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en3_29 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D3en3_32 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en3_36 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en3_44 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en3_50 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en3_52 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en3_53 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3en3_54 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D3en3_59 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en3_65 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D3en3_75 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D3en3_86 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en3_89 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en4_22 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D3en4_33 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D3en4_38 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en4_43 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en4_85 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3en4_89 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3ex_3 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3ex_12 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D3ex_41 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D3ex_48 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D3ex_55 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3ex_66 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D3ex_68 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D3ex_77 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D3ex_88 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D3ex_92 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D74_12 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D74_21 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D74_26 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D74_28 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D74_59 1 0.0707 0.9468 0.98 0.00 0.00 0.02
#> D74_64 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D74_73 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D74_74 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D71_1 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D71_7 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_8 2 0.2706 0.8876 0.02 0.90 0.00 0.08
#> D71_11 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D71_17 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D71_26 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_28 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D71_32 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_36 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_38 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_44 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D71_45 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D71_47 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D71_49 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_51 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_59 1 0.4855 0.3017 0.60 0.00 0.40 0.00
#> D71_60 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D71_63 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_73 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D71_84 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_88 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_90 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D71_93 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_2 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_3 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_5 1 0.4790 0.3775 0.62 0.00 0.38 0.00
#> D72_8 3 0.0707 0.9406 0.00 0.00 0.98 0.02
#> D72_9 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_10 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D72_13 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_15 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_16 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_20 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_21 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_23 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_25 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_28 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_29 3 0.1211 0.9230 0.00 0.00 0.96 0.04
#> D72_30 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_32 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_34 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_35 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_36 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_38 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_39 3 0.1637 0.8948 0.06 0.00 0.94 0.00
#> D72_40 2 0.4977 -0.0567 0.00 0.54 0.00 0.46
#> D72_41 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_42 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_45 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_46 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_47 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_48 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_50 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_52 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_54 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_55 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_57 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_59 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_62 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_64 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_70 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_71 1 0.0707 0.9468 0.98 0.00 0.00 0.02
#> D72_74 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_75 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_77 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_79 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_80 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_83 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_84 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D72_85 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_87 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D72_90 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D72_92 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D73_7 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D73_13 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D73_20 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D73_30 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D73_36 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D73_38 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D73_44 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D73_45 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D73_49 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D73_50 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D73_89 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D73_90 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D10631_2 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D10631_3 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D10631_10 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D10631_26 3 0.2011 0.8750 0.00 0.08 0.92 0.00
#> D10631_33 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D10631_38 3 0.2345 0.8678 0.00 0.00 0.90 0.10
#> D10631_40 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D10631_50 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D10631_88 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D101_1 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D101_5 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D101_28 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D101_73 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D101_89 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D101_91 4 0.4406 0.7071 0.00 0.30 0.00 0.70
#> D102_3 2 0.0707 0.9668 0.00 0.98 0.00 0.02
#> D102_40 3 0.2345 0.8622 0.00 0.00 0.90 0.10
#> D102_94 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D1713_6 2 0.2011 0.9000 0.00 0.92 0.00 0.08
#> D1713_18 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D1713_24 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D1713_37 2 0.2011 0.9000 0.00 0.92 0.00 0.08
#> D1713_78 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D1713_96 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D172444_2 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_3 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D172444_4 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_10 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_11 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D172444_12 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_14 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_15 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D172444_16 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D172444_17 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_20 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_22 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_23 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D172444_24 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_25 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D172444_26 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D172444_27 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D172444_28 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_30 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_31 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_33 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_34 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_35 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_41 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D172444_46 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_50 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D172444_52 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_53 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_58 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_59 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D172444_61 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_63 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D172444_64 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_68 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_69 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D172444_70 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D172444_74 1 0.1637 0.9013 0.94 0.00 0.06 0.00
#> D172444_75 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D172444_80 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D172444_82 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D172444_84 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D172444_88 1 0.3037 0.9341 0.88 0.00 0.02 0.10
#> D172444_89 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D172444_90 3 0.5594 0.6080 0.18 0.00 0.72 0.10
#> D172444_92 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D17All1_34 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D17All1_67 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D17All2_25 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D17All2_31 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D17All2_32 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D17All2_33 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D17All2_35 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D17All2_51 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D17All2_67 2 0.2011 0.9000 0.00 0.92 0.00 0.08
#> D17All2_73 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D17All2_82 1 0.0000 0.9464 1.00 0.00 0.00 0.00
#> D17TGFB_16 1 0.0707 0.9468 0.98 0.00 0.00 0.02
#> D17TGFB_25 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D17TGFB_26 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D17TGFB_28 2 0.0000 0.9865 0.00 1.00 0.00 0.00
#> D17TGFB_30 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D17TGFB_32 4 0.2345 0.9923 0.00 0.10 0.00 0.90
#> D17TGFB_40 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D17TGFB_42 3 0.0000 0.9561 0.00 0.00 1.00 0.00
#> D17TGFB_50 1 0.2345 0.9465 0.90 0.00 0.00 0.10
#> D17TGFB_84 2 0.0000 0.9865 0.00 1.00 0.00 0.00
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 258 1.75e-09 2
#> ATC:skmeans 256 1.40e-07 3
#> ATC:skmeans 254 9.75e-15 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node01. Child nodes: Node0111-leaf , Node0112 , Node0121-leaf , Node0122-leaf , Node0123-leaf , Node0131-leaf , Node0132 , Node0211 , Node0212 , Node0221 , Node0222 , Node0223-leaf , Node0231-leaf , Node0232 , Node0233 .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["013"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 5084 rows and 165 columns.
#> Top rows (508) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.982 0.992 0.383 0.618 0.618
#> 3 3 0.789 0.831 0.927 0.269 0.899 0.838
#> 4 4 0.725 0.688 0.855 0.133 0.948 0.903
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_48 2 0.000 0.984 0.00 1.00
#> D2ex_60 2 0.000 0.984 0.00 1.00
#> D2ex_81 2 0.000 0.984 0.00 1.00
#> D2ex_91 2 0.000 0.984 0.00 1.00
#> D3en1_6 1 0.000 0.994 1.00 0.00
#> D3en1_7 1 0.000 0.994 1.00 0.00
#> D3en1_8 1 0.000 0.994 1.00 0.00
#> D3en1_9 2 0.000 0.984 0.00 1.00
#> D3en1_21 1 0.000 0.994 1.00 0.00
#> D3en1_22 1 0.000 0.994 1.00 0.00
#> D3en1_24 1 0.000 0.994 1.00 0.00
#> D3en1_25 1 0.000 0.994 1.00 0.00
#> D3en1_27 2 0.000 0.984 0.00 1.00
#> D3en1_33 1 0.000 0.994 1.00 0.00
#> D3en1_43 2 0.000 0.984 0.00 1.00
#> D3en1_44 1 0.000 0.994 1.00 0.00
#> D3en1_47 1 0.000 0.994 1.00 0.00
#> D3en1_51 1 0.000 0.994 1.00 0.00
#> D3en1_53 1 0.000 0.994 1.00 0.00
#> D3en1_59 1 0.000 0.994 1.00 0.00
#> D3en1_64 1 0.000 0.994 1.00 0.00
#> D3en1_65 1 0.000 0.994 1.00 0.00
#> D3en1_66 1 0.000 0.994 1.00 0.00
#> D3en1_76 1 0.000 0.994 1.00 0.00
#> D3en1_83 2 0.000 0.984 0.00 1.00
#> D3en1_85 1 0.000 0.994 1.00 0.00
#> D3en1_90 2 0.000 0.984 0.00 1.00
#> D3en1_91 1 0.000 0.994 1.00 0.00
#> D3en2_1 1 0.000 0.994 1.00 0.00
#> D3en2_2 1 0.000 0.994 1.00 0.00
#> D3en2_9 1 0.000 0.994 1.00 0.00
#> D3en2_11 2 0.000 0.984 0.00 1.00
#> D3en2_12 1 0.000 0.994 1.00 0.00
#> D3en2_13 1 0.000 0.994 1.00 0.00
#> D3en2_22 1 0.000 0.994 1.00 0.00
#> D3en2_24 2 0.000 0.984 0.00 1.00
#> D3en2_29 1 0.000 0.994 1.00 0.00
#> D3en2_30 1 0.000 0.994 1.00 0.00
#> D3en2_38 1 0.000 0.994 1.00 0.00
#> D3en2_44 1 0.000 0.994 1.00 0.00
#> D3en2_53 1 0.000 0.994 1.00 0.00
#> D3en2_55 1 0.000 0.994 1.00 0.00
#> D3en2_61 2 0.000 0.984 0.00 1.00
#> D3en2_69 1 0.000 0.994 1.00 0.00
#> D3en2_70 1 0.000 0.994 1.00 0.00
#> D3en2_76 1 0.000 0.994 1.00 0.00
#> D3en2_77 1 0.000 0.994 1.00 0.00
#> D3en2_81 1 0.000 0.994 1.00 0.00
#> D3en2_82 1 0.000 0.994 1.00 0.00
#> D3en2_83 1 0.000 0.994 1.00 0.00
#> D3en2_88 1 0.000 0.994 1.00 0.00
#> D3en2_89 1 0.000 0.994 1.00 0.00
#> D3en3_5 1 0.000 0.994 1.00 0.00
#> D3en3_7 1 0.000 0.994 1.00 0.00
#> D3en3_10 1 0.000 0.994 1.00 0.00
#> D3en3_15 1 0.000 0.994 1.00 0.00
#> D3en3_16 1 0.000 0.994 1.00 0.00
#> D3en3_24 1 0.000 0.994 1.00 0.00
#> D3en3_27 1 0.000 0.994 1.00 0.00
#> D3en3_28 1 0.000 0.994 1.00 0.00
#> D3en3_30 1 0.000 0.994 1.00 0.00
#> D3en3_41 1 0.000 0.994 1.00 0.00
#> D3en3_45 1 0.000 0.994 1.00 0.00
#> D3en3_48 1 0.000 0.994 1.00 0.00
#> D3en3_49 1 0.000 0.994 1.00 0.00
#> D3en3_55 1 0.000 0.994 1.00 0.00
#> D3en3_67 1 0.000 0.994 1.00 0.00
#> D3en3_71 1 0.000 0.994 1.00 0.00
#> D3en3_73 1 0.000 0.994 1.00 0.00
#> D3en3_85 2 0.795 0.695 0.24 0.76
#> D3en3_91 1 0.000 0.994 1.00 0.00
#> D3en3_92 1 0.000 0.994 1.00 0.00
#> D3en3_94 1 0.000 0.994 1.00 0.00
#> D3en3_95 1 0.000 0.994 1.00 0.00
#> D3en3_96 1 0.000 0.994 1.00 0.00
#> D3en4_3 2 0.000 0.984 0.00 1.00
#> D3en4_4 2 0.000 0.984 0.00 1.00
#> D3en4_13 1 0.000 0.994 1.00 0.00
#> D3en4_15 1 0.000 0.994 1.00 0.00
#> D3en4_16 1 0.141 0.975 0.98 0.02
#> D3en4_17 1 0.000 0.994 1.00 0.00
#> D3en4_18 1 0.000 0.994 1.00 0.00
#> D3en4_19 2 0.000 0.984 0.00 1.00
#> D3en4_21 1 0.000 0.994 1.00 0.00
#> D3en4_24 1 0.000 0.994 1.00 0.00
#> D3en4_27 2 0.000 0.984 0.00 1.00
#> D3en4_28 1 0.000 0.994 1.00 0.00
#> D3en4_34 1 0.000 0.994 1.00 0.00
#> D3en4_40 1 0.000 0.994 1.00 0.00
#> D3en4_44 1 0.680 0.777 0.82 0.18
#> D3en4_49 2 0.000 0.984 0.00 1.00
#> D3en4_50 1 0.000 0.994 1.00 0.00
#> D3en4_51 1 0.000 0.994 1.00 0.00
#> D3en4_52 2 0.000 0.984 0.00 1.00
#> D3en4_58 2 0.000 0.984 0.00 1.00
#> D3en4_66 1 0.000 0.994 1.00 0.00
#> D3en4_67 2 0.634 0.817 0.16 0.84
#> D3en4_84 1 0.971 0.320 0.60 0.40
#> D3en4_86 1 0.000 0.994 1.00 0.00
#> D3en4_88 1 0.242 0.954 0.96 0.04
#> D3en4_93 1 0.000 0.994 1.00 0.00
#> D3en4_94 1 0.000 0.994 1.00 0.00
#> D3en4_95 1 0.000 0.994 1.00 0.00
#> D3ex_2 1 0.000 0.994 1.00 0.00
#> D3ex_4 2 0.000 0.984 0.00 1.00
#> D3ex_17 1 0.000 0.994 1.00 0.00
#> D3ex_38 1 0.000 0.994 1.00 0.00
#> D3ex_39 1 0.000 0.994 1.00 0.00
#> D3ex_40 2 0.000 0.984 0.00 1.00
#> D3ex_51 2 0.000 0.984 0.00 1.00
#> D3ex_59 1 0.000 0.994 1.00 0.00
#> D3ex_64 1 0.000 0.994 1.00 0.00
#> D3ex_67 1 0.000 0.994 1.00 0.00
#> D3ex_69 1 0.000 0.994 1.00 0.00
#> D3ex_75 1 0.000 0.994 1.00 0.00
#> D3ex_79 1 0.000 0.994 1.00 0.00
#> D3ex_82 1 0.000 0.994 1.00 0.00
#> D3ex_90 1 0.000 0.994 1.00 0.00
#> D74_11 1 0.000 0.994 1.00 0.00
#> D74_19 2 0.000 0.984 0.00 1.00
#> D74_89 2 0.000 0.984 0.00 1.00
#> D72_7 1 0.000 0.994 1.00 0.00
#> D72_11 1 0.000 0.994 1.00 0.00
#> D72_12 2 0.000 0.984 0.00 1.00
#> D72_14 1 0.242 0.954 0.96 0.04
#> D72_24 2 0.000 0.984 0.00 1.00
#> D72_27 1 0.000 0.994 1.00 0.00
#> D72_44 1 0.000 0.994 1.00 0.00
#> D72_58 1 0.000 0.994 1.00 0.00
#> D72_63 1 0.000 0.994 1.00 0.00
#> D72_89 1 0.000 0.994 1.00 0.00
#> D73_15 1 0.000 0.994 1.00 0.00
#> D10631_12 2 0.000 0.984 0.00 1.00
#> D10631_14 2 0.000 0.984 0.00 1.00
#> D10631_21 2 0.000 0.984 0.00 1.00
#> D10631_27 2 0.529 0.868 0.12 0.88
#> D10631_34 2 0.000 0.984 0.00 1.00
#> D10631_46 2 0.000 0.984 0.00 1.00
#> D10631_51 2 0.000 0.984 0.00 1.00
#> D10631_52 2 0.000 0.984 0.00 1.00
#> D10631_71 2 0.000 0.984 0.00 1.00
#> D101_16 1 0.000 0.994 1.00 0.00
#> D101_34 1 0.000 0.994 1.00 0.00
#> D101_36 1 0.000 0.994 1.00 0.00
#> D101_45 1 0.000 0.994 1.00 0.00
#> D101_56 1 0.000 0.994 1.00 0.00
#> D101_59 1 0.000 0.994 1.00 0.00
#> D101_77 1 0.000 0.994 1.00 0.00
#> D101_83 1 0.000 0.994 1.00 0.00
#> D101_86 1 0.000 0.994 1.00 0.00
#> D102_6 2 0.000 0.984 0.00 1.00
#> D102_14 1 0.000 0.994 1.00 0.00
#> D102_57 2 0.000 0.984 0.00 1.00
#> D102_90 2 0.000 0.984 0.00 1.00
#> D1713_7 1 0.000 0.994 1.00 0.00
#> D1713_36 1 0.000 0.994 1.00 0.00
#> D1713_39 1 0.000 0.994 1.00 0.00
#> D1713_45 1 0.000 0.994 1.00 0.00
#> D1713_60 1 0.000 0.994 1.00 0.00
#> D172444_7 1 0.000 0.994 1.00 0.00
#> D172444_44 1 0.000 0.994 1.00 0.00
#> D172444_45 1 0.000 0.994 1.00 0.00
#> D17All2_42 1 0.000 0.994 1.00 0.00
#> D17All2_60 2 0.529 0.868 0.12 0.88
#> D17TGFB_46 2 0.000 0.984 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_48 2 0.0000 0.9107 0.00 1.00 0.00
#> D2ex_60 2 0.0000 0.9107 0.00 1.00 0.00
#> D2ex_81 2 0.0000 0.9107 0.00 1.00 0.00
#> D2ex_91 2 0.4291 0.7551 0.00 0.82 0.18
#> D3en1_6 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_7 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_8 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_9 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en1_21 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_22 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_24 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_25 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_27 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en1_33 1 0.5397 0.5557 0.72 0.00 0.28
#> D3en1_43 2 0.5560 0.5662 0.00 0.70 0.30
#> D3en1_44 1 0.3686 0.8041 0.86 0.00 0.14
#> D3en1_47 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_51 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_53 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_59 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_64 1 0.5397 0.5712 0.72 0.00 0.28
#> D3en1_65 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_66 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_76 1 0.5016 0.6483 0.76 0.00 0.24
#> D3en1_83 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en1_85 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en1_90 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en1_91 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_1 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_2 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_9 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_11 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en2_12 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_13 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_22 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_24 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en2_29 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_30 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_38 1 0.4555 0.7219 0.80 0.00 0.20
#> D3en2_44 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_53 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_55 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_61 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en2_69 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_70 1 0.0892 0.9368 0.98 0.00 0.02
#> D3en2_76 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_77 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_81 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_82 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_83 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_88 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en2_89 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_5 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_7 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_10 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_15 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_16 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_24 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_27 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_28 1 0.5016 0.6488 0.76 0.00 0.24
#> D3en3_30 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_41 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_45 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_48 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_49 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_55 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_67 3 0.5397 0.5884 0.28 0.00 0.72
#> D3en3_71 1 0.6126 0.2065 0.60 0.00 0.40
#> D3en3_73 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_85 3 0.0892 0.5464 0.00 0.02 0.98
#> D3en3_91 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_92 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_94 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en3_95 3 0.6045 0.4894 0.38 0.00 0.62
#> D3en3_96 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_3 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en4_4 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en4_13 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_15 1 0.2066 0.8994 0.94 0.00 0.06
#> D3en4_16 3 0.5706 0.5767 0.32 0.00 0.68
#> D3en4_17 1 0.4002 0.7797 0.84 0.00 0.16
#> D3en4_18 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_19 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en4_21 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_24 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_27 2 0.2537 0.8489 0.00 0.92 0.08
#> D3en4_28 1 0.2959 0.8579 0.90 0.00 0.10
#> D3en4_34 1 0.0892 0.9366 0.98 0.00 0.02
#> D3en4_40 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_44 3 0.9315 0.4835 0.26 0.22 0.52
#> D3en4_49 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en4_50 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_51 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_52 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en4_58 2 0.0000 0.9107 0.00 1.00 0.00
#> D3en4_66 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_67 3 0.7395 0.2213 0.04 0.38 0.58
#> D3en4_84 3 0.4556 0.5854 0.08 0.06 0.86
#> D3en4_86 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_88 3 0.6387 0.5732 0.30 0.02 0.68
#> D3en4_93 1 0.5948 0.3551 0.64 0.00 0.36
#> D3en4_94 1 0.0000 0.9540 1.00 0.00 0.00
#> D3en4_95 1 0.3340 0.8329 0.88 0.00 0.12
#> D3ex_2 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_4 2 0.0000 0.9107 0.00 1.00 0.00
#> D3ex_17 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_38 1 0.0892 0.9368 0.98 0.00 0.02
#> D3ex_39 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_40 2 0.0000 0.9107 0.00 1.00 0.00
#> D3ex_51 2 0.6126 0.4005 0.00 0.60 0.40
#> D3ex_59 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_64 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_67 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_69 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_75 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_79 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_82 1 0.0000 0.9540 1.00 0.00 0.00
#> D3ex_90 1 0.0000 0.9540 1.00 0.00 0.00
#> D74_11 1 0.5216 0.6008 0.74 0.00 0.26
#> D74_19 2 0.6302 0.2021 0.00 0.52 0.48
#> D74_89 2 0.0000 0.9107 0.00 1.00 0.00
#> D72_7 1 0.6045 0.2795 0.62 0.00 0.38
#> D72_11 1 0.0000 0.9540 1.00 0.00 0.00
#> D72_12 2 0.6045 0.4438 0.00 0.62 0.38
#> D72_14 3 0.0892 0.5644 0.02 0.00 0.98
#> D72_24 3 0.6192 0.0568 0.00 0.42 0.58
#> D72_27 1 0.6633 0.5133 0.70 0.04 0.26
#> D72_44 1 0.6244 0.0448 0.56 0.00 0.44
#> D72_58 1 0.0000 0.9540 1.00 0.00 0.00
#> D72_63 1 0.1529 0.9197 0.96 0.00 0.04
#> D72_89 1 0.0000 0.9540 1.00 0.00 0.00
#> D73_15 3 0.6126 0.4550 0.40 0.00 0.60
#> D10631_12 2 0.0000 0.9107 0.00 1.00 0.00
#> D10631_14 2 0.6280 0.2567 0.00 0.54 0.46
#> D10631_21 3 0.4291 0.4822 0.00 0.18 0.82
#> D10631_27 3 0.2959 0.5259 0.00 0.10 0.90
#> D10631_34 2 0.0000 0.9107 0.00 1.00 0.00
#> D10631_46 3 0.5397 0.3548 0.00 0.28 0.72
#> D10631_51 2 0.0000 0.9107 0.00 1.00 0.00
#> D10631_52 2 0.0000 0.9107 0.00 1.00 0.00
#> D10631_71 2 0.0000 0.9107 0.00 1.00 0.00
#> D101_16 1 0.4796 0.6843 0.78 0.00 0.22
#> D101_34 1 0.0000 0.9540 1.00 0.00 0.00
#> D101_36 1 0.0000 0.9540 1.00 0.00 0.00
#> D101_45 1 0.0000 0.9540 1.00 0.00 0.00
#> D101_56 1 0.0000 0.9540 1.00 0.00 0.00
#> D101_59 1 0.0000 0.9540 1.00 0.00 0.00
#> D101_77 1 0.0000 0.9540 1.00 0.00 0.00
#> D101_83 1 0.0000 0.9540 1.00 0.00 0.00
#> D101_86 1 0.0000 0.9540 1.00 0.00 0.00
#> D102_6 2 0.0000 0.9107 0.00 1.00 0.00
#> D102_14 1 0.0000 0.9540 1.00 0.00 0.00
#> D102_57 2 0.0000 0.9107 0.00 1.00 0.00
#> D102_90 3 0.6192 0.0343 0.00 0.42 0.58
#> D1713_7 1 0.0000 0.9540 1.00 0.00 0.00
#> D1713_36 1 0.0000 0.9540 1.00 0.00 0.00
#> D1713_39 1 0.0000 0.9540 1.00 0.00 0.00
#> D1713_45 1 0.0892 0.9362 0.98 0.00 0.02
#> D1713_60 1 0.2537 0.8773 0.92 0.00 0.08
#> D172444_7 3 0.6302 0.2217 0.48 0.00 0.52
#> D172444_44 1 0.0000 0.9540 1.00 0.00 0.00
#> D172444_45 1 0.0000 0.9540 1.00 0.00 0.00
#> D17All2_42 1 0.1529 0.9189 0.96 0.00 0.04
#> D17All2_60 3 0.5406 0.4684 0.02 0.20 0.78
#> D17TGFB_46 2 0.6126 0.4030 0.00 0.60 0.40
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_48 2 0.1411 0.84236 0.00 0.96 0.02 0.02
#> D2ex_60 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D2ex_81 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D2ex_91 2 0.7583 -0.04030 0.00 0.48 0.28 0.24
#> D3en1_6 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_7 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_8 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_9 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en1_21 1 0.4472 0.61826 0.76 0.00 0.02 0.22
#> D3en1_22 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_24 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_25 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_27 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en1_33 1 0.7346 -0.19326 0.52 0.00 0.20 0.28
#> D3en1_43 2 0.7654 -0.16886 0.00 0.44 0.34 0.22
#> D3en1_44 1 0.5863 0.49822 0.70 0.00 0.12 0.18
#> D3en1_47 1 0.1211 0.88519 0.96 0.00 0.00 0.04
#> D3en1_51 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_53 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_59 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_64 1 0.6988 -0.22542 0.50 0.00 0.12 0.38
#> D3en1_65 1 0.5271 0.34533 0.64 0.00 0.02 0.34
#> D3en1_66 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en1_76 1 0.7220 -0.43662 0.44 0.00 0.14 0.42
#> D3en1_83 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en1_85 1 0.1637 0.86902 0.94 0.00 0.00 0.06
#> D3en1_90 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en1_91 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_1 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_2 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_9 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_11 2 0.1913 0.82742 0.00 0.94 0.02 0.04
#> D3en2_12 1 0.2335 0.85188 0.92 0.00 0.02 0.06
#> D3en2_13 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_22 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_24 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en2_29 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_30 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_38 1 0.4624 0.37965 0.66 0.00 0.00 0.34
#> D3en2_44 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_53 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_55 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_61 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en2_69 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_70 1 0.4284 0.66069 0.78 0.00 0.02 0.20
#> D3en2_76 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_77 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_81 1 0.0707 0.90049 0.98 0.00 0.00 0.02
#> D3en2_82 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_83 1 0.2921 0.77614 0.86 0.00 0.00 0.14
#> D3en2_88 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en2_89 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_5 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_7 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_10 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_15 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_16 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_24 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_27 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_28 4 0.7581 0.38011 0.36 0.00 0.20 0.44
#> D3en3_30 1 0.1637 0.87031 0.94 0.00 0.00 0.06
#> D3en3_41 1 0.0707 0.90024 0.98 0.00 0.00 0.02
#> D3en3_45 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_48 1 0.2647 0.80872 0.88 0.00 0.00 0.12
#> D3en3_49 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_55 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_67 4 0.6212 -0.15258 0.06 0.00 0.38 0.56
#> D3en3_71 1 0.7497 -0.26116 0.50 0.00 0.24 0.26
#> D3en3_73 1 0.0707 0.90034 0.98 0.00 0.00 0.02
#> D3en3_85 3 0.4907 0.27908 0.00 0.00 0.58 0.42
#> D3en3_91 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_92 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_94 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en3_95 4 0.6797 0.31999 0.24 0.00 0.16 0.60
#> D3en3_96 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en4_3 2 0.0707 0.85360 0.00 0.98 0.00 0.02
#> D3en4_4 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en4_13 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en4_15 1 0.4227 0.72420 0.82 0.00 0.06 0.12
#> D3en4_16 4 0.7756 0.19435 0.18 0.04 0.20 0.58
#> D3en4_17 4 0.7021 0.38847 0.40 0.00 0.12 0.48
#> D3en4_18 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en4_19 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en4_21 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en4_24 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en4_27 2 0.6497 0.41231 0.00 0.64 0.16 0.20
#> D3en4_28 1 0.4553 0.65104 0.78 0.00 0.04 0.18
#> D3en4_34 1 0.0707 0.90038 0.98 0.00 0.00 0.02
#> D3en4_40 1 0.0707 0.90017 0.98 0.00 0.00 0.02
#> D3en4_44 4 0.6441 -0.10116 0.06 0.04 0.22 0.68
#> D3en4_49 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en4_50 1 0.0707 0.90050 0.98 0.00 0.00 0.02
#> D3en4_51 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en4_52 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en4_58 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3en4_66 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en4_67 4 0.8365 -0.36194 0.02 0.26 0.32 0.40
#> D3en4_84 4 0.5819 -0.25491 0.02 0.02 0.32 0.64
#> D3en4_86 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en4_88 3 0.7957 -0.18614 0.20 0.02 0.50 0.28
#> D3en4_93 4 0.6714 0.39856 0.36 0.00 0.10 0.54
#> D3en4_94 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3en4_95 1 0.7285 -0.16301 0.52 0.00 0.18 0.30
#> D3ex_2 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3ex_4 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3ex_17 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3ex_38 1 0.5147 0.57826 0.74 0.00 0.06 0.20
#> D3ex_39 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3ex_40 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D3ex_51 2 0.6831 -0.08512 0.00 0.48 0.42 0.10
#> D3ex_59 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3ex_64 1 0.0707 0.90014 0.98 0.00 0.00 0.02
#> D3ex_67 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3ex_69 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3ex_75 1 0.1637 0.86894 0.94 0.00 0.00 0.06
#> D3ex_79 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3ex_82 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D3ex_90 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D74_11 1 0.6976 0.07805 0.58 0.00 0.18 0.24
#> D74_19 3 0.6649 0.38745 0.00 0.34 0.56 0.10
#> D74_89 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D72_7 1 0.7004 0.08233 0.58 0.00 0.22 0.20
#> D72_11 1 0.0707 0.90026 0.98 0.00 0.00 0.02
#> D72_12 2 0.7040 -0.15621 0.00 0.46 0.42 0.12
#> D72_14 3 0.5606 0.22990 0.02 0.00 0.50 0.48
#> D72_24 3 0.7040 0.20298 0.00 0.42 0.46 0.12
#> D72_27 4 0.7485 0.38522 0.38 0.00 0.18 0.44
#> D72_44 4 0.7544 0.24171 0.20 0.00 0.34 0.46
#> D72_58 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D72_63 1 0.3611 0.78092 0.86 0.00 0.06 0.08
#> D72_89 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D73_15 3 0.7139 -0.03170 0.14 0.00 0.50 0.36
#> D10631_12 2 0.1211 0.84085 0.00 0.96 0.04 0.00
#> D10631_14 2 0.6323 0.00135 0.00 0.50 0.44 0.06
#> D10631_21 4 0.6843 -0.39592 0.00 0.10 0.44 0.46
#> D10631_27 3 0.4553 0.41319 0.00 0.04 0.78 0.18
#> D10631_34 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D10631_46 3 0.5863 0.47952 0.00 0.18 0.70 0.12
#> D10631_51 2 0.1211 0.84185 0.00 0.96 0.04 0.00
#> D10631_52 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D10631_71 2 0.1211 0.84031 0.00 0.96 0.04 0.00
#> D101_16 1 0.7004 0.10094 0.58 0.00 0.22 0.20
#> D101_34 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D101_36 1 0.0707 0.90077 0.98 0.00 0.00 0.02
#> D101_45 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D101_56 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D101_59 1 0.0707 0.90050 0.98 0.00 0.00 0.02
#> D101_77 1 0.1411 0.88758 0.96 0.00 0.02 0.02
#> D101_83 1 0.0707 0.90034 0.98 0.00 0.00 0.02
#> D101_86 1 0.1913 0.87026 0.94 0.00 0.02 0.04
#> D102_6 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D102_14 1 0.0707 0.90031 0.98 0.00 0.00 0.02
#> D102_57 2 0.0000 0.86675 0.00 1.00 0.00 0.00
#> D102_90 3 0.5713 0.40186 0.00 0.34 0.62 0.04
#> D1713_7 1 0.0707 0.90091 0.98 0.00 0.02 0.00
#> D1713_36 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D1713_39 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D1713_45 1 0.3037 0.80755 0.88 0.00 0.02 0.10
#> D1713_60 1 0.4292 0.71741 0.82 0.00 0.10 0.08
#> D172444_7 4 0.7888 0.36032 0.32 0.00 0.30 0.38
#> D172444_44 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D172444_45 1 0.0000 0.91330 1.00 0.00 0.00 0.00
#> D17All2_42 1 0.4949 0.62822 0.76 0.00 0.06 0.18
#> D17All2_60 3 0.5726 0.42790 0.04 0.08 0.76 0.12
#> D17TGFB_46 2 0.5915 0.19179 0.00 0.56 0.40 0.04
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 164 4.21e-05 2
#> ATC:skmeans 146 1.33e-03 3
#> ATC:skmeans 124 5.85e-04 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node013. Child nodes: Node01121-leaf , Node01122-leaf , Node01321-leaf , Node01322-leaf , Node02111-leaf , Node02112-leaf , Node02121-leaf , Node02122-leaf , Node02123-leaf , Node02211-leaf , Node02212-leaf , Node02213-leaf , Node02221-leaf , Node02222-leaf , Node02321-leaf , Node02322-leaf , Node02331-leaf , Node02332-leaf , Node02333-leaf .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["0132"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 2824 rows and 42 columns.
#> Top rows (282) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.986 0.993 0.396 0.604 0.604
#> 3 3 0.883 0.876 0.946 0.210 0.942 0.904
#> 4 4 0.545 0.723 0.860 0.195 0.922 0.860
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_48 1 0.000 0.996 1.00 0.00
#> D2ex_60 1 0.000 0.996 1.00 0.00
#> D2ex_81 2 0.000 0.984 0.00 1.00
#> D2ex_91 1 0.000 0.996 1.00 0.00
#> D3en1_9 2 0.141 0.969 0.02 0.98
#> D3en1_27 2 0.000 0.984 0.00 1.00
#> D3en1_43 1 0.000 0.996 1.00 0.00
#> D3en1_83 2 0.000 0.984 0.00 1.00
#> D3en1_90 1 0.000 0.996 1.00 0.00
#> D3en2_11 1 0.000 0.996 1.00 0.00
#> D3en2_24 2 0.000 0.984 0.00 1.00
#> D3en2_61 1 0.000 0.996 1.00 0.00
#> D3en3_85 1 0.000 0.996 1.00 0.00
#> D3en4_3 1 0.000 0.996 1.00 0.00
#> D3en4_4 2 0.000 0.984 0.00 1.00
#> D3en4_19 1 0.000 0.996 1.00 0.00
#> D3en4_27 1 0.000 0.996 1.00 0.00
#> D3en4_49 1 0.000 0.996 1.00 0.00
#> D3en4_52 1 0.000 0.996 1.00 0.00
#> D3en4_58 1 0.529 0.862 0.88 0.12
#> D3en4_67 1 0.000 0.996 1.00 0.00
#> D3ex_4 2 0.000 0.984 0.00 1.00
#> D3ex_40 1 0.000 0.996 1.00 0.00
#> D3ex_51 1 0.000 0.996 1.00 0.00
#> D74_19 1 0.000 0.996 1.00 0.00
#> D74_89 2 0.000 0.984 0.00 1.00
#> D72_12 1 0.000 0.996 1.00 0.00
#> D72_24 1 0.000 0.996 1.00 0.00
#> D10631_12 1 0.000 0.996 1.00 0.00
#> D10631_14 1 0.000 0.996 1.00 0.00
#> D10631_21 1 0.000 0.996 1.00 0.00
#> D10631_27 1 0.000 0.996 1.00 0.00
#> D10631_34 2 0.000 0.984 0.00 1.00
#> D10631_46 1 0.000 0.996 1.00 0.00
#> D10631_51 1 0.000 0.996 1.00 0.00
#> D10631_52 2 0.000 0.984 0.00 1.00
#> D10631_71 1 0.000 0.996 1.00 0.00
#> D102_6 1 0.000 0.996 1.00 0.00
#> D102_57 2 0.584 0.840 0.14 0.86
#> D102_90 1 0.000 0.996 1.00 0.00
#> D17All2_60 1 0.000 0.996 1.00 0.00
#> D17TGFB_46 1 0.000 0.996 1.00 0.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_48 1 0.0892 0.946 0.98 0.00 0.02
#> D2ex_60 1 0.0000 0.958 1.00 0.00 0.00
#> D2ex_81 2 0.0000 0.905 0.00 1.00 0.00
#> D2ex_91 1 0.0000 0.958 1.00 0.00 0.00
#> D3en1_9 3 0.2066 0.723 0.00 0.06 0.94
#> D3en1_27 2 0.0000 0.905 0.00 1.00 0.00
#> D3en1_43 1 0.0000 0.958 1.00 0.00 0.00
#> D3en1_83 2 0.6244 0.240 0.00 0.56 0.44
#> D3en1_90 1 0.2066 0.913 0.94 0.00 0.06
#> D3en2_11 1 0.0892 0.946 0.98 0.00 0.02
#> D3en2_24 2 0.0000 0.905 0.00 1.00 0.00
#> D3en2_61 1 0.5560 0.582 0.70 0.00 0.30
#> D3en3_85 1 0.0000 0.958 1.00 0.00 0.00
#> D3en4_3 1 0.2066 0.914 0.94 0.00 0.06
#> D3en4_4 2 0.0000 0.905 0.00 1.00 0.00
#> D3en4_19 1 0.5706 0.543 0.68 0.00 0.32
#> D3en4_27 1 0.0892 0.946 0.98 0.00 0.02
#> D3en4_49 1 0.5216 0.656 0.74 0.00 0.26
#> D3en4_52 1 0.1529 0.931 0.96 0.00 0.04
#> D3en4_58 3 0.4551 0.712 0.14 0.02 0.84
#> D3en4_67 1 0.0000 0.958 1.00 0.00 0.00
#> D3ex_4 2 0.0000 0.905 0.00 1.00 0.00
#> D3ex_40 1 0.0000 0.958 1.00 0.00 0.00
#> D3ex_51 1 0.0000 0.958 1.00 0.00 0.00
#> D74_19 1 0.0000 0.958 1.00 0.00 0.00
#> D74_89 2 0.0000 0.905 0.00 1.00 0.00
#> D72_12 1 0.0000 0.958 1.00 0.00 0.00
#> D72_24 1 0.0000 0.958 1.00 0.00 0.00
#> D10631_12 1 0.0000 0.958 1.00 0.00 0.00
#> D10631_14 1 0.0000 0.958 1.00 0.00 0.00
#> D10631_21 1 0.0000 0.958 1.00 0.00 0.00
#> D10631_27 1 0.0000 0.958 1.00 0.00 0.00
#> D10631_34 2 0.0000 0.905 0.00 1.00 0.00
#> D10631_46 1 0.0000 0.958 1.00 0.00 0.00
#> D10631_51 1 0.1529 0.930 0.96 0.00 0.04
#> D10631_52 2 0.5216 0.636 0.00 0.74 0.26
#> D10631_71 1 0.0000 0.958 1.00 0.00 0.00
#> D102_6 1 0.0000 0.958 1.00 0.00 0.00
#> D102_57 3 0.6109 0.695 0.08 0.14 0.78
#> D102_90 1 0.0000 0.958 1.00 0.00 0.00
#> D17All2_60 1 0.0000 0.958 1.00 0.00 0.00
#> D17TGFB_46 1 0.0000 0.958 1.00 0.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_48 1 0.2921 0.7727 0.86 0.00 0.00 0.14
#> D2ex_60 1 0.1637 0.8234 0.94 0.00 0.00 0.06
#> D2ex_81 2 0.0000 0.9167 0.00 1.00 0.00 0.00
#> D2ex_91 1 0.3801 0.6330 0.78 0.00 0.00 0.22
#> D3en1_9 3 0.3335 0.6458 0.00 0.12 0.86 0.02
#> D3en1_27 2 0.1411 0.8811 0.00 0.96 0.02 0.02
#> D3en1_43 1 0.1637 0.8216 0.94 0.00 0.00 0.06
#> D3en1_83 3 0.6366 0.5294 0.00 0.24 0.64 0.12
#> D3en1_90 1 0.5173 0.0868 0.66 0.00 0.02 0.32
#> D3en2_11 1 0.3801 0.6710 0.78 0.00 0.00 0.22
#> D3en2_24 2 0.0000 0.9167 0.00 1.00 0.00 0.00
#> D3en2_61 4 0.5594 0.6619 0.46 0.00 0.02 0.52
#> D3en3_85 1 0.1211 0.8180 0.96 0.00 0.00 0.04
#> D3en4_3 1 0.5147 0.4984 0.74 0.00 0.06 0.20
#> D3en4_4 2 0.0000 0.9167 0.00 1.00 0.00 0.00
#> D3en4_19 4 0.6941 0.6962 0.36 0.00 0.12 0.52
#> D3en4_27 1 0.3400 0.6911 0.82 0.00 0.00 0.18
#> D3en4_49 1 0.6366 0.0318 0.64 0.00 0.12 0.24
#> D3en4_52 1 0.3606 0.7247 0.84 0.00 0.02 0.14
#> D3en4_58 3 0.5327 0.5003 0.06 0.00 0.72 0.22
#> D3en4_67 1 0.2647 0.7853 0.88 0.00 0.00 0.12
#> D3ex_4 2 0.0000 0.9167 0.00 1.00 0.00 0.00
#> D3ex_40 1 0.2921 0.7859 0.86 0.00 0.00 0.14
#> D3ex_51 1 0.0707 0.8225 0.98 0.00 0.00 0.02
#> D74_19 1 0.1637 0.8168 0.94 0.00 0.00 0.06
#> D74_89 2 0.0000 0.9167 0.00 1.00 0.00 0.00
#> D72_12 1 0.2647 0.7928 0.88 0.00 0.00 0.12
#> D72_24 1 0.0707 0.8201 0.98 0.00 0.00 0.02
#> D10631_12 1 0.1211 0.8213 0.96 0.00 0.00 0.04
#> D10631_14 1 0.0000 0.8220 1.00 0.00 0.00 0.00
#> D10631_21 1 0.2345 0.8030 0.90 0.00 0.00 0.10
#> D10631_27 1 0.1211 0.8200 0.96 0.00 0.00 0.04
#> D10631_34 2 0.0000 0.9167 0.00 1.00 0.00 0.00
#> D10631_46 1 0.0000 0.8220 1.00 0.00 0.00 0.00
#> D10631_51 1 0.3611 0.7415 0.86 0.00 0.06 0.08
#> D10631_52 2 0.7274 0.1473 0.00 0.54 0.24 0.22
#> D10631_71 1 0.2345 0.7870 0.90 0.00 0.00 0.10
#> D102_6 1 0.3335 0.7749 0.86 0.00 0.02 0.12
#> D102_57 3 0.7411 0.5337 0.02 0.10 0.48 0.40
#> D102_90 1 0.0707 0.8223 0.98 0.00 0.00 0.02
#> D17All2_60 1 0.0707 0.8217 0.98 0.00 0.00 0.02
#> D17TGFB_46 1 0.0707 0.8223 0.98 0.00 0.00 0.02
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 42 0.928 2
#> ATC:skmeans 41 0.985 3
#> ATC:skmeans 38 0.825 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node0. Child nodes: Node011 , Node012 , Node013 , Node021 , Node022 , Node023 .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["02"]
A summary of res and all the functions that can be applied to it:
res
#> A 'DownSamplingConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 9689 rows and 500 columns, randomly sampled from 870 columns.
#> Top rows (905) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'DownSamplingConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.988 0.995 0.4950 0.505 0.505
#> 3 3 0.975 0.961 0.979 0.3055 0.811 0.639
#> 4 4 0.935 0.917 0.963 0.0811 0.882 0.695
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 2 3
There is also optional best \(k\) = 2 3 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
get_classes(res, k = 2)
#> class p
#> D2ex_1 1 1.000
#> D2ex_2 1 1.000
#> D2ex_3 1 1.000
#> D2ex_4 2 0.000
#> D2ex_5 1 0.502
#> D2ex_6 1 1.000
#> D2ex_7 1 0.751
#> D2ex_8 1 1.000
#> D2ex_9 2 0.000
#> D2ex_10 1 1.000
#> D2ex_11 1 0.253
#> D2ex_12 1 0.249
#> D2ex_15 2 0.000
#> D2ex_16 2 0.000
#> D2ex_17 1 1.000
#> D2ex_18 2 0.000
#> D2ex_19 1 1.000
#> D2ex_20 2 1.000
#> D2ex_21 2 0.000
#> D2ex_22 1 1.000
#> D2ex_24 1 1.000
#> D2ex_25 1 1.000
#> D2ex_26 1 1.000
#> D2ex_27 1 1.000
#> D2ex_28 2 0.249
#> D2ex_29 2 0.000
#> D2ex_30 1 0.249
#> D2ex_33 1 1.000
#> D2ex_34 2 0.000
#> D2ex_35 1 0.751
#> D2ex_36 1 0.249
#> D2ex_37 1 1.000
#> D2ex_40 1 1.000
#> D2ex_41 1 0.751
#> D2ex_43 1 0.000
#> D2ex_44 2 0.000
#> D2ex_46 2 0.000
#> D2ex_47 2 0.000
#> D2ex_51 2 0.000
#> D2ex_52 1 1.000
#> D2ex_53 1 0.249
#> D2ex_55 1 0.751
#> D2ex_56 1 0.502
#> D2ex_57 1 0.498
#> D2ex_58 1 1.000
#> D2ex_59 1 1.000
#> D2ex_61 2 0.000
#> D2ex_62 1 0.502
#> D2ex_66 2 0.000
#> D2ex_67 2 0.000
#> D2ex_68 2 0.249
#> D2ex_69 2 0.000
#> D2ex_70 2 0.000
#> D2ex_71 2 0.000
#> D2ex_72 1 1.000
#> D2ex_73 1 0.000
#> D2ex_74 1 0.000
#> D2ex_75 1 1.000
#> D2ex_76 2 0.000
#> D2ex_78 1 0.000
#> D2ex_79 2 0.000
#> D2ex_82 1 0.502
#> D2ex_83 2 0.000
#> D2ex_84 1 0.502
#> D2ex_85 1 0.249
#> D2ex_86 1 1.000
#> D2ex_87 1 1.000
#> D2ex_88 1 0.751
#> D2ex_90 2 0.000
#> D2ex_92 2 0.000
#> D3en1_5 1 1.000
#> D3en1_10 1 1.000
#> D3en1_11 2 0.000
#> D3en1_13 1 1.000
#> D3en1_26 1 1.000
#> D3en1_30 1 0.000
#> D3en1_37 1 1.000
#> D3en1_41 1 1.000
#> D3en1_45 2 0.000
#> D3en1_48 2 0.000
#> D3en1_49 1 1.000
#> D3en1_56 2 0.000
#> D3en1_60 2 0.000
#> D3en1_63 1 1.000
#> D3en1_68 1 0.000
#> D3en1_69 1 0.000
#> D3en1_71 1 0.000
#> D3en1_73 1 1.000
#> D3en1_75 1 0.253
#> D3en1_87 1 0.249
#> D3en1_88 1 0.502
#> D3en2_5 1 1.000
#> D3en2_6 1 1.000
#> D3en2_16 1 1.000
#> D3en2_21 1 0.502
#> D3en2_23 2 0.000
#> D3en2_25 1 1.000
#> D3en2_26 1 1.000
#> D3en2_27 1 0.249
#> D3en2_31 1 1.000
#> D3en2_32 1 0.751
#> D3en2_33 1 1.000
#> D3en2_37 1 1.000
#> D3en2_39 1 1.000
#> D3en2_42 1 1.000
#> D3en2_45 1 1.000
#> D3en2_48 1 1.000
#> D3en2_60 1 0.751
#> D3en2_66 2 0.000
#> D3en2_68 1 0.000
#> D3en2_71 1 0.253
#> D3en2_72 1 1.000
#> D3en2_74 2 0.249
#> D3en2_90 1 1.000
#> D3en3_2 1 1.000
#> D3en3_9 1 1.000
#> D3en3_39 1 0.253
#> D3en3_46 2 0.249
#> D3en3_51 1 0.000
#> D3en3_64 1 1.000
#> D3en3_68 2 0.249
#> D3en3_72 2 0.000
#> D3en3_87 1 0.249
#> D3en4_6 1 1.000
#> D3en4_7 2 0.000
#> D3en4_8 2 0.000
#> D3en4_9 2 0.000
#> D3en4_12 1 1.000
#> D3en4_14 2 0.000
#> D3en4_20 1 1.000
#> D3en4_23 2 0.502
#> D3en4_25 2 0.000
#> D3en4_26 2 0.000
#> D3en4_30 2 0.000
#> D3en4_31 1 1.000
#> D3en4_32 1 1.000
#> D3en4_35 1 1.000
#> D3en4_39 2 0.000
#> D3en4_41 2 0.000
#> D3en4_42 1 1.000
#> D3en4_46 2 0.000
#> D3en4_47 1 0.000
#> D3en4_48 2 0.000
#> D3en4_54 2 0.000
#> D3en4_56 1 0.000
#> D3en4_60 2 0.000
#> D3en4_61 2 1.000
#> D3en4_63 2 0.000
#> D3en4_64 1 1.000
#> D3en4_65 2 0.000
#> D3en4_68 2 0.498
#> D3en4_69 2 0.000
#> D3en4_71 1 0.000
#> D3en4_72 2 0.000
#> D3en4_73 1 1.000
#> D3en4_74 1 1.000
#> D3en4_83 1 0.498
#> D3en4_87 2 0.000
#> D3en4_91 1 0.000
#> D3en4_92 2 0.000
#> D3ex_5 1 1.000
#> D3ex_6 2 0.000
#> D3ex_9 1 0.502
#> D3ex_34 1 0.498
#> D3ex_36 1 1.000
#> D3ex_71 2 0.000
#> D3ex_74 2 0.000
#> D3ex_76 2 0.000
#> D3ex_83 1 1.000
#> D3ex_91 1 0.000
#> D74_1 1 0.498
#> D74_2 1 0.000
#> D74_3 1 0.000
#> D74_5 1 0.000
#> D74_6 1 1.000
#> D74_7 2 0.000
#> D74_8 1 0.000
#> D74_9 1 0.000
#> D74_10 1 0.249
#> D74_13 1 0.000
#> D74_14 2 0.000
#> D74_15 1 0.000
#> D74_16 1 0.000
#> D74_17 1 0.502
#> D74_18 1 0.000
#> D74_20 1 0.000
#> D74_22 2 0.000
#> D74_23 2 0.502
#> D74_24 2 0.000
#> D74_25 1 0.000
#> D74_27 2 0.000
#> D74_29 1 0.000
#> D74_31 1 0.249
#> D74_32 1 0.000
#> D74_33 1 0.000
#> D74_34 1 0.000
#> D74_35 1 0.000
#> D74_36 1 0.000
#> D74_37 1 0.253
#> D74_39 2 0.502
#> D74_40 1 0.000
#> D74_41 1 0.000
#> D74_42 1 0.747
#> D74_43 1 0.000
#> D74_44 1 0.000
#> D74_45 1 0.000
#> D74_46 1 0.000
#> D74_47 1 1.000
#> D74_49 1 0.000
#> D74_51 1 0.000
#> D74_52 1 0.249
#> D74_53 1 0.000
#> D74_54 2 0.751
#> D74_55 1 0.249
#> D74_56 1 0.000
#> D74_57 1 0.000
#> D74_58 2 0.000
#> D74_60 2 0.000
#> D74_61 1 0.249
#> D74_62 2 0.000
#> D74_63 1 0.253
#> D74_65 1 0.000
#> D74_66 1 0.000
#> D74_67 1 0.000
#> D74_68 1 0.000
#> D74_69 2 0.000
#> D74_70 1 0.000
#> D74_71 2 0.249
#> D74_75 1 0.000
#> D74_76 2 0.000
#> D74_77 1 0.000
#> D74_78 2 0.249
#> D74_79 1 1.000
#> D74_81 2 0.000
#> D74_82 1 0.000
#> D74_83 1 0.000
#> D74_85 1 0.249
#> D74_86 1 0.000
#> D74_87 1 1.000
#> D74_88 1 0.249
#> D74_90 2 0.000
#> D74_91 2 0.751
#> D74_92 1 0.000
#> D74_93 2 0.751
#> D74_94 1 0.253
#> D74_95 1 0.000
#> D71_2 1 0.751
#> D71_3 1 0.000
#> D71_4 1 0.000
#> D71_5 2 0.000
#> D71_6 1 1.000
#> D71_9 1 0.000
#> D71_10 2 0.000
#> D71_12 1 0.502
#> D71_14 2 0.000
#> D71_15 1 0.000
#> D71_16 1 1.000
#> D71_18 1 0.751
#> D71_19 1 0.000
#> D71_20 1 0.000
#> D71_21 1 0.000
#> D71_22 2 0.249
#> D71_23 2 0.000
#> D71_27 2 0.249
#> D71_29 1 0.000
#> D71_30 1 0.000
#> D71_31 1 1.000
#> D71_33 1 0.502
#> D71_34 2 0.000
#> D71_35 1 0.000
#> D71_37 1 0.000
#> D71_39 2 0.000
#> D71_40 1 0.000
#> D71_41 1 0.253
#> D71_42 1 0.000
#> D71_43 1 0.000
#> D71_48 1 0.000
#> D71_52 1 0.249
#> D71_53 1 0.502
#> D71_54 1 0.000
#> D71_55 1 0.000
#> D71_56 2 0.000
#> D71_57 1 0.000
#> D71_58 1 1.000
#> D71_61 1 0.000
#> D71_62 1 0.000
#> D71_64 1 0.751
#> D71_65 2 0.498
#> D71_66 1 0.253
#> D71_67 2 0.751
#> D71_68 1 0.000
#> D71_69 2 0.000
#> D71_70 1 1.000
#> D71_71 2 0.000
#> D71_72 1 1.000
#> D71_75 1 0.751
#> D71_76 1 0.000
#> D71_78 2 0.000
#> D71_79 1 0.000
#> D71_80 2 0.000
#> D71_81 1 1.000
#> D71_82 1 0.249
#> D71_83 1 0.000
#> D71_85 2 0.498
#> D71_86 1 0.249
#> D71_87 1 0.249
#> D71_91 1 0.000
#> D71_92 2 0.000
#> D71_94 1 0.000
#> D71_95 2 0.000
#> D72_1 1 0.751
#> D72_4 1 0.000
#> D72_18 1 0.751
#> D72_22 1 1.000
#> D72_31 1 0.000
#> D72_33 2 0.249
#> D72_37 1 1.000
#> D72_43 1 0.000
#> D72_49 1 0.751
#> D72_53 2 1.000
#> D72_61 1 0.000
#> D72_65 1 1.000
#> D72_66 1 0.502
#> D72_67 1 0.000
#> D72_68 1 0.502
#> D72_69 1 0.000
#> D72_72 1 0.502
#> D72_76 1 0.000
#> D72_78 1 0.000
#> D72_81 1 0.000
#> D72_82 1 0.000
#> D72_86 1 0.502
#> D72_88 1 0.000
#> D72_91 1 0.000
#> D72_93 2 0.000
#> D72_95 2 0.000
#> D72_96 1 0.000
#> D73_1 1 0.000
#> D73_2 1 0.000
#> D73_3 1 0.000
#> D73_4 2 0.249
#> D73_5 2 0.000
#> D73_6 1 0.000
#> D73_8 1 0.249
#> D73_9 1 0.000
#> D73_10 1 0.249
#> D73_11 1 0.000
#> D73_12 1 0.000
#> D73_14 1 0.253
#> D73_16 1 0.000
#> D73_17 1 0.000
#> D73_18 1 0.249
#> D73_19 1 0.747
#> D73_21 1 0.000
#> D73_22 1 0.000
#> D73_23 2 0.000
#> D73_24 1 0.249
#> D73_25 1 0.000
#> D73_26 1 1.000
#> D73_27 2 0.751
#> D73_28 1 0.000
#> D73_29 1 0.502
#> D73_31 1 0.000
#> D73_32 1 0.000
#> D73_33 1 0.000
#> D73_34 1 0.249
#> D73_35 1 0.000
#> D73_37 2 0.249
#> D73_39 1 0.000
#> D73_40 1 0.000
#> D73_41 1 0.000
#> D73_42 1 0.249
#> D73_43 2 0.000
#> D73_46 2 0.000
#> D73_48 2 0.000
#> D73_51 1 0.249
#> D73_52 2 0.000
#> D73_54 2 0.249
#> D73_55 1 0.000
#> D73_56 1 0.000
#> D73_57 1 0.249
#> D73_58 1 0.000
#> D73_59 1 0.000
#> D73_60 2 0.000
#> D73_61 1 0.000
#> D73_62 1 0.000
#> D73_63 2 0.000
#> D73_64 2 0.000
#> D73_65 2 0.000
#> D73_67 1 0.000
#> D73_68 2 0.000
#> D73_69 1 0.000
#> D73_70 2 0.498
#> D73_71 2 0.000
#> D73_72 1 0.000
#> D73_73 2 1.000
#> D73_76 1 0.000
#> D73_78 2 0.000
#> D73_79 1 0.000
#> D73_81 1 0.000
#> D73_82 1 0.000
#> D73_83 1 1.000
#> D73_84 1 0.249
#> D73_85 1 0.000
#> D73_86 1 0.000
#> D73_87 1 0.000
#> D73_91 1 0.000
#> D73_92 1 0.000
#> D73_96 2 0.000
#> D10631_15 2 0.000
#> D10631_17 2 0.000
#> D10631_24 2 0.000
#> D10631_29 2 0.000
#> D10631_45 2 0.751
#> D10631_48 1 0.249
#> D10631_53 2 0.000
#> D10631_54 2 0.498
#> D10631_56 1 0.249
#> D10631_57 2 0.000
#> D10631_61 1 0.000
#> D10631_63 2 0.498
#> D10631_65 1 0.751
#> D10631_66 2 0.000
#> D10631_67 2 0.000
#> D10631_68 2 0.751
#> D10631_69 2 0.000
#> D10631_70 2 0.000
#> D10631_76 2 0.000
#> D10631_85 2 0.502
#> D10631_90 1 0.249
#> D10631_91 2 0.000
#> D10631_92 1 0.000
#> D10631_95 2 0.000
#> D10631_96 2 0.000
#> D101_7 2 0.000
#> D101_10 1 0.000
#> D101_13 1 0.000
#> D101_14 1 0.000
#> D101_17 2 0.000
#> D101_21 1 0.000
#> D101_22 1 0.000
#> D101_24 1 1.000
#> D101_25 1 0.498
#> D101_27 2 0.000
#> D101_29 2 0.000
#> D101_31 1 0.000
#> D101_35 1 0.249
#> D101_37 2 0.000
#> D101_43 1 0.000
#> D101_48 2 0.000
#> D101_50 2 0.000
#> D101_51 2 0.000
#> D101_52 2 0.000
#> D101_53 2 0.000
#> D101_66 2 0.502
#> D101_69 2 0.747
#> D101_72 2 0.498
#> D101_74 2 0.000
#> D101_81 1 0.000
#> D101_82 2 0.000
#> D101_84 1 0.000
#> D101_93 1 0.000
#> D101_95 1 0.253
#> D102_1 2 0.000
#> D102_4 1 0.000
#> D102_7 1 0.000
#> D102_11 1 0.000
#> D102_17 1 0.000
#> D102_18 1 0.000
#> D102_21 2 0.253
#> D102_24 1 0.000
#> D102_25 1 0.000
#> D102_26 1 1.000
#> D102_39 1 0.000
#> D102_45 1 0.000
#> D102_50 1 0.000
#> D102_51 2 0.000
#> D102_54 2 0.000
#> D102_55 1 0.000
#> D102_58 1 0.249
#> D102_59 1 0.000
#> D102_61 1 0.000
#> D102_63 1 0.000
#> D102_64 2 0.498
#> D102_66 1 0.747
#> D102_68 2 0.000
#> D102_69 2 0.000
#> D102_71 2 0.000
#> D102_73 2 0.502
#> D102_76 2 0.000
#> D102_78 1 1.000
#> D102_79 2 0.000
#> D102_87 2 0.000
#> D102_91 1 1.000
#> D102_93 1 0.000
#> D102_96 1 0.000
#> D1713_1 2 0.000
#> D1713_2 2 0.498
#> D1713_3 2 0.249
#> D1713_4 2 0.000
#> D1713_5 1 0.000
#> D1713_8 2 0.000
#> D1713_9 1 0.000
#> D1713_10 2 0.249
#> D1713_11 1 0.000
#> D1713_12 2 0.000
#> D1713_13 2 1.000
#> D1713_14 2 0.498
#> D1713_15 2 0.000
#> D1713_16 2 0.000
#> D1713_17 2 0.000
#> D1713_19 1 0.000
#> D1713_20 2 0.000
#> D1713_21 1 0.249
#> D1713_22 2 0.751
#> D1713_23 2 0.000
#> D1713_25 2 0.000
#> D1713_26 1 0.000
#> D1713_27 2 0.000
#> D1713_28 1 0.249
#> D1713_29 2 0.000
#> D1713_30 2 0.498
#> D1713_31 2 1.000
#> D1713_32 2 0.249
#> D1713_33 2 0.000
#> D1713_34 2 0.000
#> D1713_35 1 1.000
#> D1713_38 2 0.253
#> D1713_40 2 0.000
#> D1713_41 2 1.000
#> D1713_42 2 0.000
#> D1713_43 2 0.000
#> D1713_46 2 0.751
#> D1713_47 2 1.000
#> D1713_48 2 0.000
#> D1713_49 2 0.249
#> D1713_50 2 0.000
#> D1713_51 2 0.000
#> D1713_52 2 0.249
#> D1713_53 2 1.000
#> D1713_54 2 0.502
#> D1713_55 2 0.000
#> D1713_56 2 1.000
#> D1713_57 2 0.502
#> D1713_58 2 0.000
#> D1713_59 2 0.000
#> D1713_61 2 0.000
#> D1713_62 2 0.000
#> D1713_63 2 0.000
#> D1713_64 2 0.747
#> D1713_65 2 0.000
#> D1713_66 2 0.498
#> D1713_67 2 0.000
#> D1713_68 2 0.000
#> D1713_69 2 0.000
#> D1713_70 2 0.000
#> D1713_71 2 0.000
#> D1713_72 2 0.747
#> D1713_73 2 0.000
#> D1713_74 2 0.751
#> D1713_75 2 0.498
#> D1713_76 2 0.000
#> D1713_77 2 0.249
#> D1713_79 2 0.249
#> D1713_80 1 0.751
#> D1713_81 2 0.249
#> D1713_82 2 0.000
#> D1713_83 2 1.000
#> D1713_84 1 0.000
#> D1713_85 2 1.000
#> D1713_86 1 0.751
#> D1713_87 1 1.000
#> D1713_88 2 0.249
#> D1713_89 2 0.000
#> D1713_90 2 0.751
#> D1713_91 2 0.000
#> D1713_92 2 0.249
#> D1713_93 1 0.000
#> D1713_94 2 0.249
#> D1713_95 1 1.000
#> D172444_1 1 0.000
#> D172444_8 1 0.000
#> D172444_9 1 0.000
#> D172444_13 1 0.000
#> D172444_18 1 0.000
#> D172444_19 2 0.249
#> D172444_21 1 0.000
#> D172444_29 1 0.000
#> D172444_32 1 0.000
#> D172444_36 1 0.000
#> D172444_37 1 0.000
#> D172444_38 1 0.000
#> D172444_39 1 0.000
#> D172444_42 1 0.000
#> D172444_43 1 0.000
#> D172444_47 1 0.000
#> D172444_48 1 0.000
#> D172444_49 1 0.249
#> D172444_51 1 0.000
#> D172444_54 1 0.000
#> D172444_55 1 0.000
#> D172444_56 1 0.000
#> D172444_57 1 0.000
#> D172444_60 1 0.000
#> D172444_62 1 0.000
#> D172444_65 1 0.000
#> D172444_66 1 0.000
#> D172444_67 1 0.000
#> D172444_71 1 0.000
#> D172444_72 1 0.000
#> D172444_73 1 0.000
#> D172444_76 1 0.000
#> D172444_77 1 0.000
#> D172444_78 1 0.000
#> D172444_79 1 0.000
#> D172444_81 1 0.000
#> D172444_83 1 0.000
#> D172444_85 1 0.000
#> D172444_86 1 0.000
#> D172444_87 1 0.502
#> D172444_91 1 0.000
#> D172444_93 1 0.000
#> D17All1_1 1 0.000
#> D17All1_2 1 0.000
#> D17All1_3 1 0.751
#> D17All1_4 2 0.253
#> D17All1_5 1 0.000
#> D17All1_6 1 0.000
#> D17All1_7 1 0.249
#> D17All1_8 1 0.000
#> D17All1_9 2 0.000
#> D17All1_10 1 0.000
#> D17All1_11 2 0.751
#> D17All1_12 1 0.000
#> D17All1_16 2 1.000
#> D17All1_18 1 0.000
#> D17All1_19 1 0.249
#> D17All1_20 2 1.000
#> D17All1_22 1 0.000
#> D17All1_23 1 0.000
#> D17All1_24 2 0.249
#> D17All1_25 2 0.000
#> D17All1_26 1 1.000
#> D17All1_27 1 0.000
#> D17All1_28 1 0.000
#> D17All1_29 1 0.000
#> D17All1_30 1 0.249
#> D17All1_31 2 0.249
#> D17All1_32 2 0.502
#> D17All1_33 1 0.000
#> D17All1_35 1 0.000
#> D17All1_36 2 0.000
#> D17All1_37 1 0.498
#> D17All1_38 1 0.000
#> D17All1_39 1 0.249
#> D17All1_40 1 0.000
#> D17All1_41 2 0.249
#> D17All1_42 1 0.249
#> D17All1_43 1 0.502
#> D17All1_44 1 0.498
#> D17All1_45 2 0.000
#> D17All1_46 1 0.000
#> D17All1_47 2 0.747
#> D17All1_48 2 0.000
#> D17All1_49 1 0.000
#> D17All1_50 2 0.000
#> D17All1_51 1 0.000
#> D17All1_52 2 0.000
#> D17All1_53 1 0.502
#> D17All1_54 2 1.000
#> D17All1_55 1 0.249
#> D17All1_56 2 0.000
#> D17All1_57 1 0.253
#> D17All1_58 2 0.751
#> D17All1_59 1 0.000
#> D17All1_60 1 0.000
#> D17All1_61 1 0.000
#> D17All1_62 1 0.000
#> D17All1_63 1 1.000
#> D17All1_64 1 0.000
#> D17All1_65 2 0.751
#> D17All1_66 2 0.502
#> D17All1_68 2 0.498
#> D17All1_69 2 0.000
#> D17All1_70 1 0.000
#> D17All1_71 1 0.751
#> D17All1_72 2 1.000
#> D17All1_73 2 0.253
#> D17All1_74 1 0.000
#> D17All1_75 1 0.249
#> D17All1_76 2 0.000
#> D17All1_77 1 0.000
#> D17All1_78 2 0.498
#> D17All1_79 1 1.000
#> D17All1_80 1 0.000
#> D17All1_81 1 0.000
#> D17All1_82 2 1.000
#> D17All1_83 2 0.502
#> D17All1_84 2 0.000
#> D17All1_86 2 0.498
#> D17All1_87 2 0.751
#> D17All1_88 1 0.502
#> D17All1_89 1 0.249
#> D17All1_90 1 0.000
#> D17All1_91 2 0.751
#> D17All1_92 2 0.502
#> D17All1_93 2 0.249
#> D17All1_95 1 0.249
#> D17All1_96 2 0.249
#> D17All2_1 1 0.000
#> D17All2_2 1 0.249
#> D17All2_3 2 0.000
#> D17All2_4 1 0.751
#> D17All2_6 1 0.249
#> D17All2_7 1 0.000
#> D17All2_8 2 1.000
#> D17All2_9 1 0.249
#> D17All2_10 1 0.000
#> D17All2_11 1 0.000
#> D17All2_12 1 0.000
#> D17All2_13 1 0.498
#> D17All2_14 2 1.000
#> D17All2_15 1 0.249
#> D17All2_16 1 0.000
#> D17All2_17 1 0.253
#> D17All2_18 2 0.000
#> D17All2_19 1 0.000
#> D17All2_20 1 0.000
#> D17All2_21 1 0.000
#> D17All2_22 1 0.751
#> D17All2_23 2 0.000
#> D17All2_24 1 0.000
#> D17All2_26 1 0.000
#> D17All2_27 1 0.000
#> D17All2_28 1 0.000
#> D17All2_29 2 0.498
#> D17All2_30 1 0.000
#> D17All2_34 1 0.249
#> D17All2_36 1 0.000
#> D17All2_37 1 0.000
#> D17All2_38 1 0.000
#> D17All2_39 1 0.000
#> D17All2_40 1 0.000
#> D17All2_41 1 0.498
#> D17All2_43 1 0.249
#> D17All2_44 1 0.000
#> D17All2_45 1 0.000
#> D17All2_46 1 0.000
#> D17All2_47 1 0.000
#> D17All2_48 2 0.000
#> D17All2_49 1 0.498
#> D17All2_52 1 0.000
#> D17All2_53 2 0.000
#> D17All2_54 2 0.000
#> D17All2_55 1 0.249
#> D17All2_56 1 0.000
#> D17All2_57 1 0.000
#> D17All2_58 2 0.000
#> D17All2_59 2 0.249
#> D17All2_61 1 0.000
#> D17All2_62 1 0.751
#> D17All2_63 1 0.000
#> D17All2_64 1 0.000
#> D17All2_65 1 0.000
#> D17All2_66 1 0.502
#> D17All2_68 1 0.249
#> D17All2_69 1 0.249
#> D17All2_70 2 0.000
#> D17All2_71 2 1.000
#> D17All2_72 2 1.000
#> D17All2_74 1 0.000
#> D17All2_76 2 0.249
#> D17All2_77 2 1.000
#> D17All2_78 1 0.498
#> D17All2_79 2 0.000
#> D17All2_80 2 0.249
#> D17All2_81 2 0.000
#> D17All2_83 2 0.253
#> D17All2_84 1 0.000
#> D17All2_85 1 0.000
#> D17All2_86 2 0.000
#> D17All2_87 1 0.000
#> D17All2_88 1 0.000
#> D17All2_90 1 0.000
#> D17All2_91 2 0.000
#> D17All2_92 1 0.249
#> D17All2_93 2 0.000
#> D17All2_94 1 0.000
#> D17All2_95 1 0.000
#> D17TGFB_1 1 0.000
#> D17TGFB_2 2 0.502
#> D17TGFB_3 2 1.000
#> D17TGFB_4 2 0.000
#> D17TGFB_5 2 0.000
#> D17TGFB_6 2 0.000
#> D17TGFB_7 1 0.249
#> D17TGFB_8 2 0.000
#> D17TGFB_9 2 0.502
#> D17TGFB_10 2 0.000
#> D17TGFB_11 1 0.000
#> D17TGFB_12 2 0.000
#> D17TGFB_13 1 0.000
#> D17TGFB_14 2 0.000
#> D17TGFB_15 1 0.000
#> D17TGFB_17 2 0.000
#> D17TGFB_19 2 0.000
#> D17TGFB_20 1 0.498
#> D17TGFB_21 2 0.000
#> D17TGFB_22 2 0.000
#> D17TGFB_23 2 0.000
#> D17TGFB_24 1 0.502
#> D17TGFB_27 1 0.751
#> D17TGFB_29 2 0.000
#> D17TGFB_31 2 0.000
#> D17TGFB_33 1 0.249
#> D17TGFB_34 1 0.498
#> D17TGFB_35 1 0.000
#> D17TGFB_36 2 0.000
#> D17TGFB_37 2 0.000
#> D17TGFB_38 2 0.249
#> D17TGFB_39 2 0.000
#> D17TGFB_41 1 1.000
#> D17TGFB_43 2 0.000
#> D17TGFB_44 1 0.747
#> D17TGFB_45 1 1.000
#> D17TGFB_47 2 0.000
#> D17TGFB_48 1 0.000
#> D17TGFB_49 1 1.000
#> D17TGFB_51 2 0.000
#> D17TGFB_52 1 0.000
#> D17TGFB_53 1 0.000
#> D17TGFB_54 2 0.000
#> D17TGFB_55 1 1.000
#> D17TGFB_56 2 0.000
#> D17TGFB_57 2 0.000
#> D17TGFB_58 2 0.000
#> D17TGFB_59 2 0.000
#> D17TGFB_61 2 0.000
#> D17TGFB_63 1 0.000
#> D17TGFB_64 2 0.498
#> D17TGFB_65 1 0.000
#> D17TGFB_66 2 0.000
#> D17TGFB_67 2 0.000
#> D17TGFB_68 2 0.249
#> D17TGFB_69 1 0.000
#> D17TGFB_70 1 0.000
#> D17TGFB_71 2 0.000
#> D17TGFB_72 2 0.253
#> D17TGFB_73 1 0.000
#> D17TGFB_74 2 0.000
#> D17TGFB_75 1 0.000
#> D17TGFB_76 2 0.000
#> D17TGFB_77 2 0.000
#> D17TGFB_78 1 0.000
#> D17TGFB_79 2 0.498
#> D17TGFB_80 2 0.000
#> D17TGFB_81 2 0.000
#> D17TGFB_82 1 0.751
#> D17TGFB_83 2 0.498
#> D17TGFB_85 2 0.000
#> D17TGFB_86 2 0.498
#> D17TGFB_87 2 0.000
#> D17TGFB_88 2 0.000
#> D17TGFB_89 2 0.000
#> D17TGFB_90 1 0.000
#> D17TGFB_91 1 0.249
#> D17TGFB_92 2 0.000
#> D17TGFB_93 2 0.000
#> D17TGFB_94 1 0.000
#> D17TGFB_95 1 0.000
get_classes(res, k = 3)
#> class p
#> D2ex_1 3 0.000
#> D2ex_2 3 0.000
#> D2ex_3 3 0.000
#> D2ex_4 2 0.000
#> D2ex_5 3 0.000
#> D2ex_6 3 0.000
#> D2ex_7 3 0.253
#> D2ex_8 3 0.000
#> D2ex_9 2 0.747
#> D2ex_10 3 0.000
#> D2ex_11 3 0.000
#> D2ex_12 3 0.000
#> D2ex_15 3 1.000
#> D2ex_16 2 0.000
#> D2ex_17 3 0.000
#> D2ex_18 2 0.000
#> D2ex_19 3 0.000
#> D2ex_20 3 0.000
#> D2ex_21 3 1.000
#> D2ex_22 3 0.000
#> D2ex_24 3 0.000
#> D2ex_25 3 0.000
#> D2ex_26 3 0.751
#> D2ex_27 3 0.000
#> D2ex_28 3 0.000
#> D2ex_29 2 0.000
#> D2ex_30 3 0.000
#> D2ex_33 3 0.000
#> D2ex_34 2 0.000
#> D2ex_35 3 0.000
#> D2ex_36 3 0.000
#> D2ex_37 3 1.000
#> D2ex_40 3 1.000
#> D2ex_41 3 0.000
#> D2ex_43 1 0.000
#> D2ex_44 2 0.000
#> D2ex_46 2 0.000
#> D2ex_47 3 0.000
#> D2ex_51 2 0.000
#> D2ex_52 3 0.000
#> D2ex_53 3 0.000
#> D2ex_55 3 0.000
#> D2ex_56 3 0.000
#> D2ex_57 3 0.000
#> D2ex_58 3 0.000
#> D2ex_59 3 0.498
#> D2ex_61 2 0.000
#> D2ex_62 3 0.000
#> D2ex_66 2 0.000
#> D2ex_67 2 0.000
#> D2ex_68 2 0.000
#> D2ex_69 2 0.000
#> D2ex_70 2 0.000
#> D2ex_71 2 0.498
#> D2ex_72 3 0.000
#> D2ex_73 3 0.000
#> D2ex_74 3 0.000
#> D2ex_75 3 0.000
#> D2ex_76 2 0.000
#> D2ex_78 1 0.000
#> D2ex_79 2 0.000
#> D2ex_82 3 0.000
#> D2ex_83 2 0.000
#> D2ex_84 3 0.000
#> D2ex_85 3 0.000
#> D2ex_86 3 0.000
#> D2ex_87 3 0.000
#> D2ex_88 3 0.000
#> D2ex_90 2 0.000
#> D2ex_92 2 0.000
#> D3en1_5 3 0.000
#> D3en1_10 3 0.000
#> D3en1_11 3 1.000
#> D3en1_13 3 0.000
#> D3en1_26 3 0.000
#> D3en1_30 3 0.000
#> D3en1_37 3 0.000
#> D3en1_41 3 0.000
#> D3en1_45 2 0.000
#> D3en1_48 2 0.000
#> D3en1_49 3 0.000
#> D3en1_56 2 0.000
#> D3en1_60 2 0.000
#> D3en1_63 1 1.000
#> D3en1_68 3 0.000
#> D3en1_69 1 0.000
#> D3en1_71 3 0.000
#> D3en1_73 3 0.000
#> D3en1_75 3 0.000
#> D3en1_87 3 0.000
#> D3en1_88 3 0.000
#> D3en2_5 3 0.000
#> D3en2_6 3 0.000
#> D3en2_16 3 0.000
#> D3en2_21 3 0.000
#> D3en2_23 2 0.000
#> D3en2_25 3 0.747
#> D3en2_26 3 0.000
#> D3en2_27 3 0.000
#> D3en2_31 3 0.000
#> D3en2_32 3 0.000
#> D3en2_33 3 0.000
#> D3en2_37 3 0.000
#> D3en2_39 3 0.000
#> D3en2_42 3 1.000
#> D3en2_45 3 0.000
#> D3en2_48 3 1.000
#> D3en2_60 3 0.000
#> D3en2_66 3 1.000
#> D3en2_68 3 0.000
#> D3en2_71 3 0.000
#> D3en2_72 3 0.249
#> D3en2_74 2 0.000
#> D3en2_90 3 0.000
#> D3en3_2 3 0.000
#> D3en3_9 3 0.000
#> D3en3_39 3 0.000
#> D3en3_46 2 0.000
#> D3en3_51 1 0.000
#> D3en3_64 3 0.000
#> D3en3_68 3 0.502
#> D3en3_72 2 0.000
#> D3en3_87 3 0.000
#> D3en4_6 3 0.000
#> D3en4_7 2 0.000
#> D3en4_8 2 0.000
#> D3en4_9 2 0.000
#> D3en4_12 3 0.747
#> D3en4_14 2 0.000
#> D3en4_20 3 0.000
#> D3en4_23 3 0.000
#> D3en4_25 2 0.000
#> D3en4_26 2 0.000
#> D3en4_30 2 0.000
#> D3en4_31 3 0.000
#> D3en4_32 3 1.000
#> D3en4_35 3 0.000
#> D3en4_39 2 0.000
#> D3en4_41 2 0.000
#> D3en4_42 3 0.000
#> D3en4_46 2 0.000
#> D3en4_47 1 0.000
#> D3en4_48 2 0.000
#> D3en4_54 2 0.000
#> D3en4_56 1 0.000
#> D3en4_60 2 0.000
#> D3en4_61 3 0.000
#> D3en4_63 2 0.000
#> D3en4_64 3 0.000
#> D3en4_65 2 0.000
#> D3en4_68 2 0.000
#> D3en4_69 2 0.000
#> D3en4_71 1 0.000
#> D3en4_72 2 0.000
#> D3en4_73 3 0.000
#> D3en4_74 3 1.000
#> D3en4_83 3 0.000
#> D3en4_87 2 0.000
#> D3en4_91 1 0.000
#> D3en4_92 2 0.000
#> D3ex_5 3 0.751
#> D3ex_6 2 0.000
#> D3ex_9 3 0.000
#> D3ex_34 3 0.000
#> D3ex_36 3 0.498
#> D3ex_71 2 0.000
#> D3ex_74 3 1.000
#> D3ex_76 2 0.000
#> D3ex_83 3 0.000
#> D3ex_91 3 0.000
#> D74_1 1 0.000
#> D74_2 1 0.000
#> D74_3 1 0.000
#> D74_5 1 0.000
#> D74_6 3 0.000
#> D74_7 2 0.000
#> D74_8 1 0.000
#> D74_9 1 0.000
#> D74_10 1 0.000
#> D74_13 3 0.000
#> D74_14 2 0.000
#> D74_15 3 1.000
#> D74_16 1 0.000
#> D74_17 3 0.000
#> D74_18 3 0.000
#> D74_20 1 0.000
#> D74_22 2 0.000
#> D74_23 2 0.000
#> D74_24 2 0.498
#> D74_25 1 0.000
#> D74_27 3 0.000
#> D74_29 1 0.000
#> D74_31 3 0.000
#> D74_32 1 0.000
#> D74_33 1 0.000
#> D74_34 3 0.000
#> D74_35 1 0.000
#> D74_36 1 0.000
#> D74_37 3 0.000
#> D74_39 2 0.751
#> D74_40 1 0.000
#> D74_41 1 0.000
#> D74_42 1 0.000
#> D74_43 3 0.000
#> D74_44 3 0.502
#> D74_45 3 1.000
#> D74_46 3 0.000
#> D74_47 3 0.000
#> D74_49 1 0.000
#> D74_51 1 0.000
#> D74_52 1 0.000
#> D74_53 1 0.000
#> D74_54 2 1.000
#> D74_55 1 0.000
#> D74_56 1 0.000
#> D74_57 1 0.000
#> D74_58 2 0.000
#> D74_60 2 0.000
#> D74_61 1 0.000
#> D74_62 2 0.000
#> D74_63 3 0.000
#> D74_65 1 0.000
#> D74_66 1 0.000
#> D74_67 1 0.000
#> D74_68 1 0.000
#> D74_69 2 1.000
#> D74_70 1 0.000
#> D74_71 2 1.000
#> D74_75 1 0.000
#> D74_76 2 0.000
#> D74_77 1 0.000
#> D74_78 2 1.000
#> D74_79 3 0.000
#> D74_81 2 0.000
#> D74_82 1 0.000
#> D74_83 1 0.000
#> D74_85 1 0.000
#> D74_86 1 0.000
#> D74_87 1 0.000
#> D74_88 1 0.000
#> D74_90 2 0.000
#> D74_91 2 0.000
#> D74_92 1 0.000
#> D74_93 2 0.498
#> D74_94 3 0.000
#> D74_95 1 0.000
#> D71_2 3 0.000
#> D71_3 1 0.000
#> D71_4 1 0.000
#> D71_5 2 0.000
#> D71_6 3 0.000
#> D71_9 1 0.000
#> D71_10 2 0.000
#> D71_12 3 0.000
#> D71_14 2 0.000
#> D71_15 1 0.000
#> D71_16 3 0.000
#> D71_18 3 0.000
#> D71_19 1 0.000
#> D71_20 1 0.000
#> D71_21 1 0.000
#> D71_22 3 1.000
#> D71_23 2 0.000
#> D71_27 3 0.000
#> D71_29 1 0.000
#> D71_30 1 0.000
#> D71_31 3 0.253
#> D71_33 3 0.000
#> D71_34 2 0.000
#> D71_35 1 0.000
#> D71_37 1 0.000
#> D71_39 2 0.000
#> D71_40 1 0.000
#> D71_41 3 0.000
#> D71_42 1 0.000
#> D71_43 1 0.000
#> D71_48 1 0.000
#> D71_52 3 0.000
#> D71_53 3 0.000
#> D71_54 1 0.000
#> D71_55 1 0.000
#> D71_56 3 0.000
#> D71_57 1 0.000
#> D71_58 3 1.000
#> D71_61 1 0.000
#> D71_62 1 0.000
#> D71_64 3 0.000
#> D71_65 3 0.000
#> D71_66 3 0.000
#> D71_67 3 0.000
#> D71_68 3 0.000
#> D71_69 2 0.000
#> D71_70 3 0.751
#> D71_71 2 0.000
#> D71_72 3 0.000
#> D71_75 3 0.000
#> D71_76 1 0.000
#> D71_78 2 0.000
#> D71_79 1 0.000
#> D71_80 2 0.000
#> D71_81 3 0.000
#> D71_82 1 0.000
#> D71_83 1 0.000
#> D71_85 3 0.000
#> D71_86 1 0.000
#> D71_87 1 0.000
#> D71_91 1 0.000
#> D71_92 2 0.000
#> D71_94 1 0.000
#> D71_95 2 0.249
#> D72_1 3 0.000
#> D72_4 3 0.000
#> D72_18 3 0.000
#> D72_22 3 0.000
#> D72_31 3 0.000
#> D72_33 2 0.249
#> D72_37 3 0.000
#> D72_43 3 0.000
#> D72_49 3 0.000
#> D72_53 3 0.000
#> D72_61 3 0.000
#> D72_65 3 0.000
#> D72_66 3 0.000
#> D72_67 1 0.000
#> D72_68 3 0.000
#> D72_69 1 0.000
#> D72_72 3 0.000
#> D72_76 3 0.000
#> D72_78 3 1.000
#> D72_81 1 0.000
#> D72_82 3 0.000
#> D72_86 3 0.000
#> D72_88 1 0.000
#> D72_91 1 0.000
#> D72_93 2 0.747
#> D72_95 3 0.747
#> D72_96 1 0.000
#> D73_1 1 0.000
#> D73_2 3 0.000
#> D73_3 1 0.000
#> D73_4 1 0.000
#> D73_5 2 0.000
#> D73_6 1 0.000
#> D73_8 3 0.000
#> D73_9 1 0.000
#> D73_10 1 0.000
#> D73_11 3 0.000
#> D73_12 1 0.000
#> D73_14 1 0.000
#> D73_16 3 0.000
#> D73_17 1 0.000
#> D73_18 3 0.000
#> D73_19 3 0.000
#> D73_21 1 0.000
#> D73_22 1 0.000
#> D73_23 2 0.751
#> D73_24 3 0.000
#> D73_25 3 0.000
#> D73_26 3 0.000
#> D73_27 2 1.000
#> D73_28 1 0.000
#> D73_29 3 0.000
#> D73_31 1 0.000
#> D73_32 1 0.000
#> D73_33 1 0.000
#> D73_34 3 0.000
#> D73_35 3 0.000
#> D73_37 2 0.000
#> D73_39 3 0.253
#> D73_40 3 0.000
#> D73_41 1 0.000
#> D73_42 1 0.000
#> D73_43 2 0.000
#> D73_46 2 0.000
#> D73_48 2 0.000
#> D73_51 3 0.000
#> D73_52 3 0.000
#> D73_54 2 1.000
#> D73_55 1 0.000
#> D73_56 3 0.000
#> D73_57 3 0.000
#> D73_58 1 0.000
#> D73_59 1 0.000
#> D73_60 3 0.000
#> D73_61 1 0.000
#> D73_62 1 0.000
#> D73_63 2 1.000
#> D73_64 2 0.000
#> D73_65 3 0.000
#> D73_67 1 0.000
#> D73_68 2 0.000
#> D73_69 1 0.000
#> D73_70 2 0.000
#> D73_71 2 0.000
#> D73_72 1 0.000
#> D73_73 2 1.000
#> D73_76 1 0.000
#> D73_78 2 0.000
#> D73_79 1 0.000
#> D73_81 1 0.000
#> D73_82 1 0.000
#> D73_83 3 0.000
#> D73_84 3 1.000
#> D73_85 1 0.000
#> D73_86 1 0.000
#> D73_87 1 0.000
#> D73_91 1 0.000
#> D73_92 1 0.000
#> D73_96 2 0.000
#> D10631_15 3 0.249
#> D10631_17 3 0.498
#> D10631_24 3 0.000
#> D10631_29 2 0.000
#> D10631_45 3 0.000
#> D10631_48 3 0.000
#> D10631_53 2 0.000
#> D10631_54 3 1.000
#> D10631_56 3 0.000
#> D10631_57 2 0.000
#> D10631_61 1 0.000
#> D10631_63 2 0.000
#> D10631_65 3 0.000
#> D10631_66 2 0.498
#> D10631_67 2 0.000
#> D10631_68 3 0.249
#> D10631_69 2 0.000
#> D10631_70 2 1.000
#> D10631_76 2 1.000
#> D10631_85 2 1.000
#> D10631_90 3 0.000
#> D10631_91 2 0.000
#> D10631_92 3 0.000
#> D10631_95 2 0.000
#> D10631_96 2 0.000
#> D101_7 2 0.000
#> D101_10 1 0.000
#> D101_13 1 0.000
#> D101_14 1 0.000
#> D101_17 2 0.000
#> D101_21 3 0.000
#> D101_22 1 0.000
#> D101_24 3 0.000
#> D101_25 1 0.000
#> D101_27 2 0.000
#> D101_29 2 0.000
#> D101_31 1 0.000
#> D101_35 1 0.000
#> D101_37 2 0.000
#> D101_43 1 0.000
#> D101_48 2 0.000
#> D101_50 2 0.000
#> D101_51 2 0.000
#> D101_52 2 0.000
#> D101_53 2 0.000
#> D101_66 2 0.000
#> D101_69 2 0.000
#> D101_72 2 0.000
#> D101_74 2 0.000
#> D101_81 1 0.000
#> D101_82 2 0.000
#> D101_84 1 0.000
#> D101_93 1 0.000
#> D101_95 1 0.000
#> D102_1 2 0.000
#> D102_4 1 0.000
#> D102_7 1 0.000
#> D102_11 1 0.000
#> D102_17 1 0.000
#> D102_18 1 0.000
#> D102_21 3 0.751
#> D102_24 1 0.000
#> D102_25 1 0.000
#> D102_26 3 0.000
#> D102_39 1 0.000
#> D102_45 1 0.000
#> D102_50 1 0.000
#> D102_51 2 0.000
#> D102_54 2 0.000
#> D102_55 1 0.000
#> D102_58 1 0.000
#> D102_59 1 0.000
#> D102_61 1 0.000
#> D102_63 1 0.000
#> D102_64 2 0.249
#> D102_66 1 0.000
#> D102_68 2 1.000
#> D102_69 2 0.000
#> D102_71 2 0.000
#> D102_73 2 0.000
#> D102_76 2 0.000
#> D102_78 3 0.000
#> D102_79 2 0.000
#> D102_87 2 0.000
#> D102_91 3 1.000
#> D102_93 1 0.000
#> D102_96 1 0.000
#> D1713_1 2 0.000
#> D1713_2 2 0.000
#> D1713_3 2 0.000
#> D1713_4 2 1.000
#> D1713_5 3 0.000
#> D1713_8 2 0.000
#> D1713_9 1 0.000
#> D1713_10 2 0.000
#> D1713_11 1 0.000
#> D1713_12 2 0.000
#> D1713_13 2 0.000
#> D1713_14 2 1.000
#> D1713_15 2 0.000
#> D1713_16 2 0.000
#> D1713_17 3 0.000
#> D1713_19 1 0.000
#> D1713_20 2 0.000
#> D1713_21 1 0.000
#> D1713_22 2 1.000
#> D1713_23 2 0.000
#> D1713_25 2 0.000
#> D1713_26 1 0.000
#> D1713_27 2 0.000
#> D1713_28 3 0.000
#> D1713_29 2 0.000
#> D1713_30 3 0.000
#> D1713_31 3 0.000
#> D1713_32 3 0.000
#> D1713_33 2 0.000
#> D1713_34 2 0.000
#> D1713_35 3 0.000
#> D1713_38 2 0.000
#> D1713_40 2 0.000
#> D1713_41 3 0.000
#> D1713_42 2 0.000
#> D1713_43 2 0.000
#> D1713_46 3 0.000
#> D1713_47 2 0.000
#> D1713_48 2 0.000
#> D1713_49 3 0.000
#> D1713_50 2 0.000
#> D1713_51 2 0.000
#> D1713_52 2 0.502
#> D1713_53 2 0.000
#> D1713_54 2 0.000
#> D1713_55 2 0.000
#> D1713_56 2 0.000
#> D1713_57 3 1.000
#> D1713_58 2 0.000
#> D1713_59 2 0.000
#> D1713_61 2 0.000
#> D1713_62 2 0.000
#> D1713_63 2 0.000
#> D1713_64 2 0.000
#> D1713_65 2 0.000
#> D1713_66 3 0.000
#> D1713_67 2 0.000
#> D1713_68 2 0.000
#> D1713_69 2 0.000
#> D1713_70 2 0.000
#> D1713_71 2 0.000
#> D1713_72 2 0.000
#> D1713_73 2 0.000
#> D1713_74 2 1.000
#> D1713_75 2 0.502
#> D1713_76 2 0.000
#> D1713_77 2 0.000
#> D1713_79 2 0.000
#> D1713_80 3 0.000
#> D1713_81 2 0.000
#> D1713_82 2 0.000
#> D1713_83 2 0.000
#> D1713_84 3 0.000
#> D1713_85 2 0.000
#> D1713_86 3 0.000
#> D1713_87 3 0.000
#> D1713_88 3 0.000
#> D1713_89 2 0.000
#> D1713_90 1 0.000
#> D1713_91 2 0.000
#> D1713_92 3 1.000
#> D1713_93 3 0.000
#> D1713_94 3 0.000
#> D1713_95 1 0.000
#> D172444_1 1 0.000
#> D172444_8 1 0.000
#> D172444_9 1 0.000
#> D172444_13 1 0.000
#> D172444_18 1 0.000
#> D172444_19 2 0.249
#> D172444_21 1 0.000
#> D172444_29 1 0.000
#> D172444_32 1 0.000
#> D172444_36 1 0.000
#> D172444_37 1 0.000
#> D172444_38 1 0.000
#> D172444_39 3 0.000
#> D172444_42 1 0.000
#> D172444_43 1 0.000
#> D172444_47 1 0.000
#> D172444_48 1 0.000
#> D172444_49 1 0.000
#> D172444_51 1 0.000
#> D172444_54 1 0.000
#> D172444_55 1 0.000
#> D172444_56 1 0.000
#> D172444_57 1 0.000
#> D172444_60 1 0.000
#> D172444_62 1 0.000
#> D172444_65 1 0.000
#> D172444_66 1 0.000
#> D172444_67 1 0.000
#> D172444_71 1 0.000
#> D172444_72 1 0.000
#> D172444_73 1 0.000
#> D172444_76 1 0.000
#> D172444_77 1 0.000
#> D172444_78 1 0.000
#> D172444_79 1 0.000
#> D172444_81 1 0.000
#> D172444_83 1 0.000
#> D172444_85 1 0.000
#> D172444_86 1 0.000
#> D172444_87 1 0.000
#> D172444_91 1 0.000
#> D172444_93 1 0.000
#> D17All1_1 1 0.000
#> D17All1_2 1 0.000
#> D17All1_3 1 0.000
#> D17All1_4 1 1.000
#> D17All1_5 1 0.000
#> D17All1_6 1 0.000
#> D17All1_7 1 0.000
#> D17All1_8 1 0.000
#> D17All1_9 2 0.000
#> D17All1_10 1 0.000
#> D17All1_11 2 0.000
#> D17All1_12 1 0.000
#> D17All1_16 3 0.000
#> D17All1_18 1 0.000
#> D17All1_19 1 0.000
#> D17All1_20 2 1.000
#> D17All1_22 1 0.000
#> D17All1_23 1 0.000
#> D17All1_24 2 0.000
#> D17All1_25 2 0.000
#> D17All1_26 3 0.000
#> D17All1_27 1 0.000
#> D17All1_28 1 0.000
#> D17All1_29 3 0.000
#> D17All1_30 1 0.000
#> D17All1_31 2 0.000
#> D17All1_32 2 0.249
#> D17All1_33 1 0.000
#> D17All1_35 1 0.000
#> D17All1_36 2 0.000
#> D17All1_37 1 0.000
#> D17All1_38 1 0.000
#> D17All1_39 1 0.000
#> D17All1_40 1 0.000
#> D17All1_41 2 0.000
#> D17All1_42 1 0.000
#> D17All1_43 1 0.000
#> D17All1_44 3 0.000
#> D17All1_45 2 1.000
#> D17All1_46 1 0.000
#> D17All1_47 2 0.000
#> D17All1_48 2 0.000
#> D17All1_49 1 0.000
#> D17All1_50 2 0.000
#> D17All1_51 1 0.000
#> D17All1_52 2 0.000
#> D17All1_53 3 0.000
#> D17All1_54 1 0.000
#> D17All1_55 1 0.000
#> D17All1_56 2 0.000
#> D17All1_57 1 0.000
#> D17All1_58 2 1.000
#> D17All1_59 1 0.000
#> D17All1_60 1 0.000
#> D17All1_61 1 0.000
#> D17All1_62 1 0.000
#> D17All1_63 1 0.000
#> D17All1_64 1 0.000
#> D17All1_65 2 0.000
#> D17All1_66 1 1.000
#> D17All1_68 2 0.000
#> D17All1_69 2 0.000
#> D17All1_70 1 0.000
#> D17All1_71 1 0.000
#> D17All1_72 2 1.000
#> D17All1_73 1 0.000
#> D17All1_74 1 0.000
#> D17All1_75 1 0.000
#> D17All1_76 2 0.000
#> D17All1_77 1 0.000
#> D17All1_78 2 0.000
#> D17All1_79 3 0.000
#> D17All1_80 1 0.000
#> D17All1_81 1 0.000
#> D17All1_82 1 0.249
#> D17All1_83 1 0.000
#> D17All1_84 2 0.000
#> D17All1_86 2 0.000
#> D17All1_87 1 0.000
#> D17All1_88 1 0.000
#> D17All1_89 1 0.000
#> D17All1_90 1 0.000
#> D17All1_91 1 0.000
#> D17All1_92 2 0.000
#> D17All1_93 1 0.000
#> D17All1_95 1 0.000
#> D17All1_96 2 0.000
#> D17All2_1 1 0.000
#> D17All2_2 1 0.000
#> D17All2_3 2 0.000
#> D17All2_4 3 0.000
#> D17All2_6 1 0.000
#> D17All2_7 1 0.000
#> D17All2_8 2 0.000
#> D17All2_9 1 0.000
#> D17All2_10 1 0.000
#> D17All2_11 1 0.000
#> D17All2_12 1 0.000
#> D17All2_13 1 0.000
#> D17All2_14 1 0.000
#> D17All2_15 1 0.000
#> D17All2_16 1 0.000
#> D17All2_17 1 0.000
#> D17All2_18 2 0.000
#> D17All2_19 1 0.000
#> D17All2_20 1 0.000
#> D17All2_21 1 0.000
#> D17All2_22 1 0.000
#> D17All2_23 2 0.000
#> D17All2_24 1 0.000
#> D17All2_26 1 0.000
#> D17All2_27 1 0.000
#> D17All2_28 1 0.000
#> D17All2_29 3 0.000
#> D17All2_30 1 0.000
#> D17All2_34 1 0.000
#> D17All2_36 1 0.000
#> D17All2_37 1 0.000
#> D17All2_38 1 0.000
#> D17All2_39 1 0.000
#> D17All2_40 1 0.000
#> D17All2_41 1 0.000
#> D17All2_43 1 0.000
#> D17All2_44 1 0.000
#> D17All2_45 1 0.000
#> D17All2_46 1 0.000
#> D17All2_47 1 0.000
#> D17All2_48 2 0.000
#> D17All2_49 1 0.000
#> D17All2_52 1 0.000
#> D17All2_53 2 0.000
#> D17All2_54 3 0.000
#> D17All2_55 1 0.000
#> D17All2_56 1 0.000
#> D17All2_57 1 0.000
#> D17All2_58 2 0.000
#> D17All2_59 2 0.000
#> D17All2_61 1 0.000
#> D17All2_62 1 0.000
#> D17All2_63 1 0.000
#> D17All2_64 1 0.000
#> D17All2_65 1 0.000
#> D17All2_66 3 0.000
#> D17All2_68 1 0.000
#> D17All2_69 1 0.000
#> D17All2_70 2 0.000
#> D17All2_71 2 0.000
#> D17All2_72 2 0.000
#> D17All2_74 1 0.000
#> D17All2_76 2 0.249
#> D17All2_77 2 0.000
#> D17All2_78 1 0.000
#> D17All2_79 2 0.000
#> D17All2_80 2 1.000
#> D17All2_81 2 0.000
#> D17All2_83 2 0.000
#> D17All2_84 1 0.000
#> D17All2_85 1 0.000
#> D17All2_86 2 0.000
#> D17All2_87 1 0.000
#> D17All2_88 1 0.000
#> D17All2_90 1 0.000
#> D17All2_91 2 0.000
#> D17All2_92 1 0.000
#> D17All2_93 2 0.000
#> D17All2_94 1 0.000
#> D17All2_95 1 0.000
#> D17TGFB_1 1 0.000
#> D17TGFB_2 1 0.000
#> D17TGFB_3 2 0.000
#> D17TGFB_4 2 0.000
#> D17TGFB_5 3 0.000
#> D17TGFB_6 2 0.000
#> D17TGFB_7 3 0.000
#> D17TGFB_8 2 0.000
#> D17TGFB_9 2 0.000
#> D17TGFB_10 2 0.000
#> D17TGFB_11 1 0.000
#> D17TGFB_12 2 0.000
#> D17TGFB_13 1 0.000
#> D17TGFB_14 2 0.000
#> D17TGFB_15 1 0.000
#> D17TGFB_17 2 0.000
#> D17TGFB_19 2 0.000
#> D17TGFB_20 1 0.000
#> D17TGFB_21 2 0.000
#> D17TGFB_22 2 0.000
#> D17TGFB_23 2 0.000
#> D17TGFB_24 3 0.000
#> D17TGFB_27 3 0.000
#> D17TGFB_29 2 1.000
#> D17TGFB_31 3 0.000
#> D17TGFB_33 3 0.000
#> D17TGFB_34 3 0.000
#> D17TGFB_35 1 0.000
#> D17TGFB_36 2 0.000
#> D17TGFB_37 2 0.000
#> D17TGFB_38 3 0.000
#> D17TGFB_39 2 0.000
#> D17TGFB_41 3 0.000
#> D17TGFB_43 2 0.000
#> D17TGFB_44 3 0.000
#> D17TGFB_45 3 0.000
#> D17TGFB_47 2 0.000
#> D17TGFB_48 1 0.000
#> D17TGFB_49 3 0.000
#> D17TGFB_51 2 0.000
#> D17TGFB_52 1 0.000
#> D17TGFB_53 1 0.000
#> D17TGFB_54 2 0.000
#> D17TGFB_55 3 1.000
#> D17TGFB_56 2 0.000
#> D17TGFB_57 3 0.249
#> D17TGFB_58 2 0.000
#> D17TGFB_59 2 0.000
#> D17TGFB_61 2 0.000
#> D17TGFB_63 1 0.000
#> D17TGFB_64 2 0.000
#> D17TGFB_65 1 0.000
#> D17TGFB_66 2 0.000
#> D17TGFB_67 2 0.000
#> D17TGFB_68 1 0.502
#> D17TGFB_69 1 0.000
#> D17TGFB_70 1 0.000
#> D17TGFB_71 2 0.000
#> D17TGFB_72 2 0.000
#> D17TGFB_73 1 0.000
#> D17TGFB_74 2 0.000
#> D17TGFB_75 1 0.000
#> D17TGFB_76 2 0.000
#> D17TGFB_77 2 0.000
#> D17TGFB_78 1 0.000
#> D17TGFB_79 3 0.000
#> D17TGFB_80 2 0.000
#> D17TGFB_81 2 0.000
#> D17TGFB_82 1 0.000
#> D17TGFB_83 2 0.000
#> D17TGFB_85 2 0.000
#> D17TGFB_86 2 0.000
#> D17TGFB_87 2 0.000
#> D17TGFB_88 2 0.000
#> D17TGFB_89 2 1.000
#> D17TGFB_90 1 0.000
#> D17TGFB_91 1 0.000
#> D17TGFB_92 2 0.000
#> D17TGFB_93 2 0.000
#> D17TGFB_94 1 0.000
#> D17TGFB_95 1 0.000
get_classes(res, k = 4)
#> class p
#> D2ex_1 3 1.000
#> D2ex_2 3 0.000
#> D2ex_3 1 1.000
#> D2ex_4 2 0.000
#> D2ex_5 3 0.000
#> D2ex_6 3 0.000
#> D2ex_7 3 0.000
#> D2ex_8 3 0.000
#> D2ex_9 3 0.751
#> D2ex_10 3 0.000
#> D2ex_11 3 0.249
#> D2ex_12 3 0.000
#> D2ex_15 3 1.000
#> D2ex_16 2 0.000
#> D2ex_17 3 0.000
#> D2ex_18 2 0.000
#> D2ex_19 3 0.000
#> D2ex_20 3 0.000
#> D2ex_21 2 0.751
#> D2ex_22 3 0.000
#> D2ex_24 3 1.000
#> D2ex_25 3 0.000
#> D2ex_26 4 1.000
#> D2ex_27 3 0.000
#> D2ex_28 3 0.000
#> D2ex_29 2 0.000
#> D2ex_30 3 0.249
#> D2ex_33 3 0.000
#> D2ex_34 2 0.000
#> D2ex_35 3 0.000
#> D2ex_36 3 0.000
#> D2ex_37 4 0.502
#> D2ex_40 2 1.000
#> D2ex_41 3 0.253
#> D2ex_43 1 0.000
#> D2ex_44 2 0.000
#> D2ex_46 2 0.000
#> D2ex_47 3 0.000
#> D2ex_51 2 0.000
#> D2ex_52 3 0.000
#> D2ex_53 3 0.000
#> D2ex_55 3 0.000
#> D2ex_56 3 0.000
#> D2ex_57 3 0.000
#> D2ex_58 3 0.000
#> D2ex_59 3 0.502
#> D2ex_61 2 0.000
#> D2ex_62 3 0.000
#> D2ex_66 2 0.000
#> D2ex_67 2 0.000
#> D2ex_68 2 0.000
#> D2ex_69 2 0.000
#> D2ex_70 2 0.000
#> D2ex_71 2 1.000
#> D2ex_72 3 0.000
#> D2ex_73 3 0.000
#> D2ex_74 3 0.000
#> D2ex_75 3 0.000
#> D2ex_76 2 0.000
#> D2ex_78 1 0.000
#> D2ex_79 2 0.000
#> D2ex_82 3 0.000
#> D2ex_83 2 0.000
#> D2ex_84 3 0.000
#> D2ex_85 3 0.000
#> D2ex_86 1 0.498
#> D2ex_87 1 0.000
#> D2ex_88 3 0.000
#> D2ex_90 2 0.000
#> D2ex_92 2 0.000
#> D3en1_5 1 0.249
#> D3en1_10 3 0.000
#> D3en1_11 2 0.502
#> D3en1_13 3 0.000
#> D3en1_26 3 0.000
#> D3en1_30 3 0.000
#> D3en1_37 3 0.000
#> D3en1_41 1 1.000
#> D3en1_45 2 0.000
#> D3en1_48 2 0.000
#> D3en1_49 1 1.000
#> D3en1_56 2 0.000
#> D3en1_60 2 0.000
#> D3en1_63 4 0.000
#> D3en1_68 3 0.249
#> D3en1_69 1 0.000
#> D3en1_71 3 0.000
#> D3en1_73 3 0.000
#> D3en1_75 3 0.000
#> D3en1_87 3 0.000
#> D3en1_88 3 0.000
#> D3en2_5 1 0.498
#> D3en2_6 3 0.000
#> D3en2_16 3 0.498
#> D3en2_21 3 0.000
#> D3en2_23 2 0.000
#> D3en2_25 3 0.253
#> D3en2_26 3 0.751
#> D3en2_27 3 0.000
#> D3en2_31 1 0.498
#> D3en2_32 3 0.000
#> D3en2_33 3 0.000
#> D3en2_37 3 0.000
#> D3en2_39 3 0.000
#> D3en2_42 3 0.751
#> D3en2_45 3 0.000
#> D3en2_48 3 1.000
#> D3en2_60 3 0.000
#> D3en2_66 2 1.000
#> D3en2_68 3 0.000
#> D3en2_71 3 0.000
#> D3en2_72 3 0.000
#> D3en2_74 2 0.000
#> D3en2_90 3 0.000
#> D3en3_2 3 0.000
#> D3en3_9 1 0.751
#> D3en3_39 1 1.000
#> D3en3_46 2 0.000
#> D3en3_51 1 0.000
#> D3en3_64 3 0.000
#> D3en3_68 3 0.000
#> D3en3_72 2 0.000
#> D3en3_87 3 0.000
#> D3en4_6 3 0.000
#> D3en4_7 2 0.000
#> D3en4_8 2 0.000
#> D3en4_9 2 0.000
#> D3en4_12 3 0.253
#> D3en4_14 2 0.000
#> D3en4_20 3 0.751
#> D3en4_23 3 0.000
#> D3en4_25 2 0.000
#> D3en4_26 2 0.000
#> D3en4_30 2 0.000
#> D3en4_31 3 0.000
#> D3en4_32 3 0.502
#> D3en4_35 1 0.502
#> D3en4_39 2 0.000
#> D3en4_41 2 0.000
#> D3en4_42 3 0.000
#> D3en4_46 2 0.000
#> D3en4_47 1 0.000
#> D3en4_48 2 0.000
#> D3en4_54 2 0.000
#> D3en4_56 1 0.000
#> D3en4_60 2 0.000
#> D3en4_61 3 0.000
#> D3en4_63 2 0.000
#> D3en4_64 3 0.000
#> D3en4_65 2 0.249
#> D3en4_68 2 0.000
#> D3en4_69 2 0.000
#> D3en4_71 1 0.000
#> D3en4_72 2 0.000
#> D3en4_73 3 0.000
#> D3en4_74 3 0.249
#> D3en4_83 3 0.000
#> D3en4_87 2 0.000
#> D3en4_91 1 0.000
#> D3en4_92 2 0.000
#> D3ex_5 3 0.502
#> D3ex_6 2 0.000
#> D3ex_9 3 0.000
#> D3ex_34 3 1.000
#> D3ex_36 3 0.249
#> D3ex_71 2 0.000
#> D3ex_74 3 0.502
#> D3ex_76 2 0.000
#> D3ex_83 3 0.253
#> D3ex_91 3 0.000
#> D74_1 4 0.498
#> D74_2 1 0.000
#> D74_3 1 0.000
#> D74_5 1 0.000
#> D74_6 3 0.000
#> D74_7 4 0.000
#> D74_8 1 0.000
#> D74_9 1 0.000
#> D74_10 1 0.000
#> D74_13 3 0.000
#> D74_14 2 0.000
#> D74_15 3 0.249
#> D74_16 1 0.000
#> D74_17 3 0.000
#> D74_18 3 0.498
#> D74_20 1 0.000
#> D74_22 2 0.000
#> D74_23 2 0.000
#> D74_24 2 0.747
#> D74_25 1 0.000
#> D74_27 3 0.000
#> D74_29 1 0.000
#> D74_31 3 0.000
#> D74_32 1 0.000
#> D74_33 1 0.000
#> D74_34 3 0.751
#> D74_35 1 0.000
#> D74_36 1 0.000
#> D74_37 3 0.000
#> D74_39 2 0.498
#> D74_40 1 0.751
#> D74_41 1 0.747
#> D74_42 1 0.000
#> D74_43 3 0.000
#> D74_44 1 0.000
#> D74_45 1 0.249
#> D74_46 3 0.000
#> D74_47 3 0.000
#> D74_49 1 0.000
#> D74_51 1 0.000
#> D74_52 1 0.000
#> D74_53 1 0.000
#> D74_54 2 1.000
#> D74_55 4 0.000
#> D74_56 1 0.000
#> D74_57 1 0.000
#> D74_58 2 0.498
#> D74_60 2 0.000
#> D74_61 1 0.000
#> D74_62 2 0.000
#> D74_63 3 0.000
#> D74_65 1 0.000
#> D74_66 1 0.000
#> D74_67 1 0.000
#> D74_68 1 0.000
#> D74_69 2 1.000
#> D74_70 1 0.000
#> D74_71 2 0.751
#> D74_75 4 0.000
#> D74_76 2 0.000
#> D74_77 4 0.000
#> D74_78 2 0.747
#> D74_79 3 0.000
#> D74_81 2 0.000
#> D74_82 4 1.000
#> D74_83 1 0.000
#> D74_85 4 0.000
#> D74_86 4 0.000
#> D74_87 4 0.000
#> D74_88 4 0.000
#> D74_90 2 0.000
#> D74_91 2 0.000
#> D74_92 1 0.000
#> D74_93 2 0.751
#> D74_94 3 0.000
#> D74_95 1 0.000
#> D71_2 3 0.000
#> D71_3 1 0.000
#> D71_4 1 0.000
#> D71_5 2 0.000
#> D71_6 3 0.000
#> D71_9 1 0.000
#> D71_10 2 0.000
#> D71_12 3 0.000
#> D71_14 2 0.000
#> D71_15 1 0.000
#> D71_16 3 0.000
#> D71_18 3 0.000
#> D71_19 1 0.000
#> D71_20 1 0.000
#> D71_21 1 0.000
#> D71_22 4 0.253
#> D71_23 2 0.000
#> D71_27 3 0.000
#> D71_29 1 0.000
#> D71_30 1 0.000
#> D71_31 3 0.000
#> D71_33 3 0.000
#> D71_34 2 0.000
#> D71_35 1 0.000
#> D71_37 1 0.000
#> D71_39 2 0.000
#> D71_40 1 0.000
#> D71_41 3 0.000
#> D71_42 1 0.000
#> D71_43 1 1.000
#> D71_48 1 0.000
#> D71_52 3 0.000
#> D71_53 3 0.000
#> D71_54 1 0.000
#> D71_55 1 0.000
#> D71_56 3 0.249
#> D71_57 1 0.000
#> D71_58 4 0.502
#> D71_61 1 0.000
#> D71_62 1 0.000
#> D71_64 3 0.000
#> D71_65 3 0.000
#> D71_66 3 0.000
#> D71_67 3 0.000
#> D71_68 3 0.249
#> D71_69 2 0.000
#> D71_70 3 0.000
#> D71_71 2 0.000
#> D71_72 3 0.000
#> D71_75 3 0.000
#> D71_76 1 0.000
#> D71_78 2 0.000
#> D71_79 1 0.000
#> D71_80 2 0.000
#> D71_81 3 0.000
#> D71_82 1 0.000
#> D71_83 1 0.000
#> D71_85 3 0.498
#> D71_86 1 0.000
#> D71_87 1 0.000
#> D71_91 1 0.000
#> D71_92 2 0.000
#> D71_94 1 0.000
#> D71_95 2 0.498
#> D72_1 3 0.000
#> D72_4 3 0.000
#> D72_18 3 0.000
#> D72_22 3 0.000
#> D72_31 3 0.000
#> D72_33 2 0.000
#> D72_37 3 0.000
#> D72_43 3 0.000
#> D72_49 3 0.000
#> D72_53 3 0.000
#> D72_61 3 0.000
#> D72_65 3 0.000
#> D72_66 3 0.000
#> D72_67 1 0.000
#> D72_68 3 0.000
#> D72_69 1 0.000
#> D72_72 3 0.000
#> D72_76 3 0.000
#> D72_78 3 0.253
#> D72_81 1 0.000
#> D72_82 3 0.000
#> D72_86 3 0.000
#> D72_88 1 0.000
#> D72_91 1 0.000
#> D72_93 3 0.751
#> D72_95 3 0.502
#> D72_96 1 0.000
#> D73_1 1 0.000
#> D73_2 3 0.000
#> D73_3 1 0.000
#> D73_4 4 0.000
#> D73_5 2 0.249
#> D73_6 1 0.000
#> D73_8 3 0.000
#> D73_9 1 0.000
#> D73_10 1 0.000
#> D73_11 3 0.000
#> D73_12 1 0.000
#> D73_14 1 0.000
#> D73_16 3 0.000
#> D73_17 1 0.000
#> D73_18 3 0.000
#> D73_19 3 0.000
#> D73_21 1 0.000
#> D73_22 1 0.000
#> D73_23 2 0.747
#> D73_24 3 0.000
#> D73_25 3 0.000
#> D73_26 3 0.000
#> D73_27 2 1.000
#> D73_28 1 0.000
#> D73_29 3 0.000
#> D73_31 1 0.000
#> D73_32 1 0.000
#> D73_33 1 0.000
#> D73_34 3 0.000
#> D73_35 3 0.000
#> D73_37 2 0.000
#> D73_39 3 0.502
#> D73_40 3 0.000
#> D73_41 1 0.000
#> D73_42 4 0.000
#> D73_43 2 0.249
#> D73_46 2 0.000
#> D73_48 2 0.000
#> D73_51 3 0.000
#> D73_52 3 0.000
#> D73_54 3 0.000
#> D73_55 1 0.000
#> D73_56 3 0.000
#> D73_57 3 0.000
#> D73_58 1 0.000
#> D73_59 4 1.000
#> D73_60 3 0.000
#> D73_61 1 0.000
#> D73_62 1 0.000
#> D73_63 3 0.249
#> D73_64 2 0.000
#> D73_65 3 0.000
#> D73_67 1 0.000
#> D73_68 2 0.000
#> D73_69 4 0.000
#> D73_70 2 0.498
#> D73_71 2 0.249
#> D73_72 1 0.000
#> D73_73 3 0.747
#> D73_76 1 0.000
#> D73_78 2 0.000
#> D73_79 1 0.000
#> D73_81 4 1.000
#> D73_82 1 0.000
#> D73_83 3 0.000
#> D73_84 1 1.000
#> D73_85 4 0.249
#> D73_86 1 0.249
#> D73_87 1 0.000
#> D73_91 1 0.000
#> D73_92 1 0.000
#> D73_96 2 0.000
#> D10631_15 3 0.747
#> D10631_17 3 0.253
#> D10631_24 3 0.000
#> D10631_29 2 0.000
#> D10631_45 3 0.000
#> D10631_48 3 0.000
#> D10631_53 2 0.000
#> D10631_54 2 0.751
#> D10631_56 3 0.000
#> D10631_57 2 0.000
#> D10631_61 1 0.000
#> D10631_63 2 1.000
#> D10631_65 3 0.000
#> D10631_66 2 0.000
#> D10631_67 2 0.000
#> D10631_68 3 0.000
#> D10631_69 2 0.000
#> D10631_70 4 0.502
#> D10631_76 2 1.000
#> D10631_85 2 1.000
#> D10631_90 3 0.000
#> D10631_91 2 0.000
#> D10631_92 3 0.000
#> D10631_95 2 0.000
#> D10631_96 2 0.000
#> D101_7 2 0.000
#> D101_10 1 0.000
#> D101_13 1 0.000
#> D101_14 1 0.000
#> D101_17 2 0.000
#> D101_21 3 0.000
#> D101_22 1 0.000
#> D101_24 3 0.000
#> D101_25 1 0.000
#> D101_27 2 0.000
#> D101_29 2 0.000
#> D101_31 4 0.747
#> D101_35 1 0.000
#> D101_37 2 0.000
#> D101_43 4 0.502
#> D101_48 4 0.751
#> D101_50 2 0.000
#> D101_51 2 0.000
#> D101_52 2 0.000
#> D101_53 2 0.000
#> D101_66 2 0.000
#> D101_69 2 0.000
#> D101_72 2 0.000
#> D101_74 2 0.000
#> D101_81 1 0.000
#> D101_82 2 0.000
#> D101_84 1 0.000
#> D101_93 1 0.000
#> D101_95 4 1.000
#> D102_1 2 0.000
#> D102_4 1 0.000
#> D102_7 4 0.751
#> D102_11 1 0.000
#> D102_17 1 0.000
#> D102_18 1 0.000
#> D102_21 4 0.000
#> D102_24 1 0.000
#> D102_25 4 0.000
#> D102_26 3 0.000
#> D102_39 1 0.000
#> D102_45 1 0.000
#> D102_50 1 0.000
#> D102_51 2 0.000
#> D102_54 2 0.000
#> D102_55 4 0.000
#> D102_58 4 0.751
#> D102_59 1 0.000
#> D102_61 1 0.000
#> D102_63 4 0.498
#> D102_64 2 0.747
#> D102_66 4 0.000
#> D102_68 4 1.000
#> D102_69 2 0.000
#> D102_71 2 0.000
#> D102_73 2 0.000
#> D102_76 2 0.000
#> D102_78 3 0.000
#> D102_79 2 0.000
#> D102_87 2 0.000
#> D102_91 1 0.498
#> D102_93 1 0.000
#> D102_96 4 0.000
#> D1713_1 2 0.000
#> D1713_2 2 0.000
#> D1713_3 2 0.000
#> D1713_4 2 0.498
#> D1713_5 3 0.000
#> D1713_8 2 0.000
#> D1713_9 4 1.000
#> D1713_10 2 0.000
#> D1713_11 1 0.000
#> D1713_12 2 0.249
#> D1713_13 2 0.000
#> D1713_14 3 0.000
#> D1713_15 2 0.000
#> D1713_16 2 0.000
#> D1713_17 3 0.000
#> D1713_19 1 0.000
#> D1713_20 2 0.000
#> D1713_21 1 0.000
#> D1713_22 3 0.751
#> D1713_23 2 0.000
#> D1713_25 2 0.000
#> D1713_26 1 0.000
#> D1713_27 2 0.000
#> D1713_28 3 0.000
#> D1713_29 2 0.000
#> D1713_30 3 0.000
#> D1713_31 3 0.000
#> D1713_32 3 0.000
#> D1713_33 2 0.000
#> D1713_34 4 0.751
#> D1713_35 3 0.000
#> D1713_38 4 0.502
#> D1713_40 4 0.751
#> D1713_41 3 0.000
#> D1713_42 2 0.000
#> D1713_43 2 0.000
#> D1713_46 3 0.000
#> D1713_47 2 0.000
#> D1713_48 2 0.000
#> D1713_49 3 0.000
#> D1713_50 2 0.000
#> D1713_51 4 0.751
#> D1713_52 2 0.000
#> D1713_53 2 0.000
#> D1713_54 2 0.000
#> D1713_55 2 0.000
#> D1713_56 2 0.000
#> D1713_57 3 0.000
#> D1713_58 2 0.000
#> D1713_59 2 0.000
#> D1713_61 2 0.000
#> D1713_62 2 0.000
#> D1713_63 2 0.000
#> D1713_64 2 0.000
#> D1713_65 2 0.000
#> D1713_66 3 0.000
#> D1713_67 2 0.000
#> D1713_68 2 0.000
#> D1713_69 2 0.000
#> D1713_70 2 0.000
#> D1713_71 2 0.000
#> D1713_72 2 0.000
#> D1713_73 2 0.000
#> D1713_74 3 0.498
#> D1713_75 2 0.498
#> D1713_76 2 0.000
#> D1713_77 2 0.000
#> D1713_79 2 0.000
#> D1713_80 3 0.000
#> D1713_81 2 0.000
#> D1713_82 2 0.000
#> D1713_83 2 0.000
#> D1713_84 3 0.000
#> D1713_85 2 0.000
#> D1713_86 3 0.000
#> D1713_87 3 0.000
#> D1713_88 3 0.000
#> D1713_89 2 0.000
#> D1713_90 4 0.000
#> D1713_91 2 0.000
#> D1713_92 3 0.000
#> D1713_93 1 1.000
#> D1713_94 3 0.000
#> D1713_95 1 0.000
#> D172444_1 1 0.000
#> D172444_8 1 0.000
#> D172444_9 1 0.000
#> D172444_13 1 0.000
#> D172444_18 1 0.000
#> D172444_19 2 0.000
#> D172444_21 1 0.000
#> D172444_29 1 0.000
#> D172444_32 1 0.000
#> D172444_36 1 0.000
#> D172444_37 1 0.000
#> D172444_38 1 0.000
#> D172444_39 3 1.000
#> D172444_42 1 0.000
#> D172444_43 1 0.000
#> D172444_47 1 0.000
#> D172444_48 1 0.000
#> D172444_49 4 0.249
#> D172444_51 1 0.000
#> D172444_54 1 0.000
#> D172444_55 1 0.000
#> D172444_56 1 0.000
#> D172444_57 1 0.000
#> D172444_60 1 0.000
#> D172444_62 1 0.000
#> D172444_65 1 0.000
#> D172444_66 1 0.000
#> D172444_67 1 0.000
#> D172444_71 1 0.000
#> D172444_72 1 0.000
#> D172444_73 1 0.000
#> D172444_76 1 0.000
#> D172444_77 1 0.000
#> D172444_78 1 0.000
#> D172444_79 1 0.000
#> D172444_81 1 0.000
#> D172444_83 1 0.000
#> D172444_85 1 0.000
#> D172444_86 4 0.498
#> D172444_87 1 0.000
#> D172444_91 1 0.000
#> D172444_93 1 0.000
#> D17All1_1 4 1.000
#> D17All1_2 4 0.000
#> D17All1_3 4 0.000
#> D17All1_4 4 0.000
#> D17All1_5 4 0.000
#> D17All1_6 1 0.000
#> D17All1_7 4 1.000
#> D17All1_8 4 0.751
#> D17All1_9 2 0.000
#> D17All1_10 1 0.000
#> D17All1_11 2 0.000
#> D17All1_12 1 0.000
#> D17All1_16 3 0.000
#> D17All1_18 1 0.000
#> D17All1_19 1 0.000
#> D17All1_20 2 1.000
#> D17All1_22 1 0.000
#> D17All1_23 1 0.000
#> D17All1_24 2 0.000
#> D17All1_25 2 0.000
#> D17All1_26 3 0.000
#> D17All1_27 1 0.000
#> D17All1_28 1 0.000
#> D17All1_29 3 0.000
#> D17All1_30 1 0.000
#> D17All1_31 2 0.000
#> D17All1_32 3 0.751
#> D17All1_33 4 0.000
#> D17All1_35 1 0.000
#> D17All1_36 2 0.000
#> D17All1_37 4 0.000
#> D17All1_38 1 0.000
#> D17All1_39 4 0.000
#> D17All1_40 4 0.498
#> D17All1_41 2 0.000
#> D17All1_42 4 0.000
#> D17All1_43 4 0.249
#> D17All1_44 3 0.000
#> D17All1_45 2 1.000
#> D17All1_46 1 0.000
#> D17All1_47 2 0.000
#> D17All1_48 2 0.000
#> D17All1_49 1 0.000
#> D17All1_50 2 0.000
#> D17All1_51 1 0.000
#> D17All1_52 2 0.000
#> D17All1_53 3 0.000
#> D17All1_54 4 0.000
#> D17All1_55 4 0.498
#> D17All1_56 2 0.000
#> D17All1_57 4 0.000
#> D17All1_58 4 0.000
#> D17All1_59 1 0.000
#> D17All1_60 1 0.000
#> D17All1_61 4 0.000
#> D17All1_62 1 0.000
#> D17All1_63 4 0.000
#> D17All1_64 1 0.000
#> D17All1_65 2 0.000
#> D17All1_66 4 0.000
#> D17All1_68 4 0.000
#> D17All1_69 2 0.000
#> D17All1_70 1 0.000
#> D17All1_71 1 0.000
#> D17All1_72 4 0.000
#> D17All1_73 4 0.000
#> D17All1_74 4 0.000
#> D17All1_75 4 0.000
#> D17All1_76 2 0.000
#> D17All1_77 4 0.000
#> D17All1_78 2 0.000
#> D17All1_79 3 0.000
#> D17All1_80 4 0.000
#> D17All1_81 1 1.000
#> D17All1_82 4 0.000
#> D17All1_83 4 0.000
#> D17All1_84 2 0.000
#> D17All1_86 2 0.000
#> D17All1_87 4 0.000
#> D17All1_88 4 1.000
#> D17All1_89 1 0.000
#> D17All1_90 1 0.000
#> D17All1_91 4 0.000
#> D17All1_92 2 0.000
#> D17All1_93 4 0.000
#> D17All1_95 4 0.249
#> D17All1_96 2 0.000
#> D17All2_1 1 0.000
#> D17All2_2 1 0.000
#> D17All2_3 2 0.000
#> D17All2_4 3 0.000
#> D17All2_6 4 0.000
#> D17All2_7 1 0.000
#> D17All2_8 2 0.000
#> D17All2_9 4 0.000
#> D17All2_10 1 0.000
#> D17All2_11 1 0.000
#> D17All2_12 1 0.000
#> D17All2_13 4 0.751
#> D17All2_14 4 0.000
#> D17All2_15 1 0.000
#> D17All2_16 1 0.000
#> D17All2_17 4 0.000
#> D17All2_18 2 0.000
#> D17All2_19 1 0.000
#> D17All2_20 1 0.000
#> D17All2_21 4 0.000
#> D17All2_22 4 0.249
#> D17All2_23 2 0.000
#> D17All2_24 1 0.000
#> D17All2_26 1 0.000
#> D17All2_27 1 0.000
#> D17All2_28 1 0.000
#> D17All2_29 3 0.000
#> D17All2_30 1 0.000
#> D17All2_34 1 0.000
#> D17All2_36 1 0.000
#> D17All2_37 1 0.000
#> D17All2_38 1 0.000
#> D17All2_39 1 0.502
#> D17All2_40 1 0.000
#> D17All2_41 4 0.000
#> D17All2_43 4 0.000
#> D17All2_44 1 0.000
#> D17All2_45 1 0.000
#> D17All2_46 1 0.000
#> D17All2_47 1 0.000
#> D17All2_48 2 0.000
#> D17All2_49 4 0.000
#> D17All2_52 4 0.000
#> D17All2_53 2 0.000
#> D17All2_54 3 0.000
#> D17All2_55 4 0.000
#> D17All2_56 4 0.000
#> D17All2_57 1 0.000
#> D17All2_58 2 0.000
#> D17All2_59 2 0.498
#> D17All2_61 1 0.000
#> D17All2_62 4 0.000
#> D17All2_63 1 0.000
#> D17All2_64 4 0.000
#> D17All2_65 1 0.000
#> D17All2_66 3 0.000
#> D17All2_68 4 0.000
#> D17All2_69 4 0.000
#> D17All2_70 2 0.000
#> D17All2_71 2 0.000
#> D17All2_72 2 0.000
#> D17All2_74 1 0.000
#> D17All2_76 2 0.747
#> D17All2_77 2 0.000
#> D17All2_78 1 0.000
#> D17All2_79 2 0.000
#> D17All2_80 2 1.000
#> D17All2_81 2 0.000
#> D17All2_83 4 0.502
#> D17All2_84 1 0.000
#> D17All2_85 1 0.249
#> D17All2_86 2 1.000
#> D17All2_87 4 0.000
#> D17All2_88 1 0.000
#> D17All2_90 1 0.000
#> D17All2_91 2 0.000
#> D17All2_92 4 0.000
#> D17All2_93 2 0.751
#> D17All2_94 4 0.000
#> D17All2_95 1 0.000
#> D17TGFB_1 1 0.000
#> D17TGFB_2 4 0.000
#> D17TGFB_3 2 0.000
#> D17TGFB_4 2 0.000
#> D17TGFB_5 3 0.000
#> D17TGFB_6 2 0.000
#> D17TGFB_7 3 0.751
#> D17TGFB_8 2 0.000
#> D17TGFB_9 2 0.000
#> D17TGFB_10 2 0.000
#> D17TGFB_11 1 0.000
#> D17TGFB_12 2 0.000
#> D17TGFB_13 1 0.000
#> D17TGFB_14 2 0.000
#> D17TGFB_15 1 0.000
#> D17TGFB_17 2 0.000
#> D17TGFB_19 2 0.000
#> D17TGFB_20 4 0.000
#> D17TGFB_21 2 0.000
#> D17TGFB_22 2 0.000
#> D17TGFB_23 2 0.000
#> D17TGFB_24 3 0.000
#> D17TGFB_27 3 0.000
#> D17TGFB_29 2 1.000
#> D17TGFB_31 3 0.000
#> D17TGFB_33 3 0.249
#> D17TGFB_34 3 0.000
#> D17TGFB_35 1 0.000
#> D17TGFB_36 2 0.000
#> D17TGFB_37 2 0.000
#> D17TGFB_38 3 0.000
#> D17TGFB_39 2 0.000
#> D17TGFB_41 3 0.253
#> D17TGFB_43 2 0.000
#> D17TGFB_44 3 0.751
#> D17TGFB_45 3 0.000
#> D17TGFB_47 2 0.000
#> D17TGFB_48 1 0.000
#> D17TGFB_49 3 0.249
#> D17TGFB_51 2 0.000
#> D17TGFB_52 4 0.751
#> D17TGFB_53 1 0.000
#> D17TGFB_54 2 0.000
#> D17TGFB_55 3 0.249
#> D17TGFB_56 2 0.000
#> D17TGFB_57 2 1.000
#> D17TGFB_58 2 0.000
#> D17TGFB_59 2 0.000
#> D17TGFB_61 2 0.000
#> D17TGFB_63 1 0.000
#> D17TGFB_64 2 0.000
#> D17TGFB_65 1 0.000
#> D17TGFB_66 2 0.000
#> D17TGFB_67 2 0.000
#> D17TGFB_68 4 0.000
#> D17TGFB_69 4 0.249
#> D17TGFB_70 1 0.000
#> D17TGFB_71 2 0.000
#> D17TGFB_72 2 0.000
#> D17TGFB_73 1 0.000
#> D17TGFB_74 2 0.000
#> D17TGFB_75 1 0.000
#> D17TGFB_76 2 0.000
#> D17TGFB_77 2 0.249
#> D17TGFB_78 1 0.000
#> D17TGFB_79 3 0.000
#> D17TGFB_80 2 0.000
#> D17TGFB_81 2 0.000
#> D17TGFB_82 4 0.000
#> D17TGFB_83 2 0.000
#> D17TGFB_85 2 0.000
#> D17TGFB_86 2 0.000
#> D17TGFB_87 2 0.000
#> D17TGFB_88 2 0.000
#> D17TGFB_89 2 0.498
#> D17TGFB_90 1 0.000
#> D17TGFB_91 1 1.000
#> D17TGFB_92 2 0.000
#> D17TGFB_93 2 0.000
#> D17TGFB_94 1 0.000
#> D17TGFB_95 1 0.000
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 524 7.33e-12 2
#> ATC:skmeans 785 4.11e-35 3
#> ATC:skmeans 723 3.04e-29 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node02. Child nodes: Node0111-leaf , Node0112 , Node0121-leaf , Node0122-leaf , Node0123-leaf , Node0131-leaf , Node0132 , Node0211 , Node0212 , Node0221 , Node0222 , Node0223-leaf , Node0231-leaf , Node0232 , Node0233 .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["021"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 9089 rows and 330 columns.
#> Top rows (909) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.968 0.987 0.493 0.507 0.507
#> 3 3 0.963 0.937 0.975 0.351 0.748 0.539
#> 4 4 0.722 0.795 0.894 0.117 0.862 0.621
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_43 2 0.000 0.983 0.00 1.00
#> D2ex_78 2 0.971 0.344 0.40 0.60
#> D3en1_63 2 0.000 0.983 0.00 1.00
#> D3en1_69 1 0.000 0.989 1.00 0.00
#> D3en3_51 1 0.000 0.989 1.00 0.00
#> D3en4_47 1 0.000 0.989 1.00 0.00
#> D3en4_56 1 0.000 0.989 1.00 0.00
#> D3en4_71 1 0.000 0.989 1.00 0.00
#> D3en4_91 2 0.584 0.835 0.14 0.86
#> D74_1 2 0.000 0.983 0.00 1.00
#> D74_2 2 0.000 0.983 0.00 1.00
#> D74_3 1 0.327 0.931 0.94 0.06
#> D74_5 2 0.000 0.983 0.00 1.00
#> D74_8 1 0.000 0.989 1.00 0.00
#> D74_9 1 0.000 0.989 1.00 0.00
#> D74_10 2 0.680 0.781 0.18 0.82
#> D74_16 1 0.000 0.989 1.00 0.00
#> D74_20 1 0.000 0.989 1.00 0.00
#> D74_25 1 0.000 0.989 1.00 0.00
#> D74_29 1 0.000 0.989 1.00 0.00
#> D74_32 1 0.000 0.989 1.00 0.00
#> D74_33 1 0.141 0.971 0.98 0.02
#> D74_35 1 0.000 0.989 1.00 0.00
#> D74_36 1 0.000 0.989 1.00 0.00
#> D74_40 2 0.000 0.983 0.00 1.00
#> D74_41 2 0.000 0.983 0.00 1.00
#> D74_42 2 0.000 0.983 0.00 1.00
#> D74_49 2 0.000 0.983 0.00 1.00
#> D74_51 1 0.000 0.989 1.00 0.00
#> D74_52 2 0.469 0.883 0.10 0.90
#> D74_53 2 0.000 0.983 0.00 1.00
#> D74_55 2 0.000 0.983 0.00 1.00
#> D74_56 1 0.000 0.989 1.00 0.00
#> D74_57 1 0.000 0.989 1.00 0.00
#> D74_61 1 0.000 0.989 1.00 0.00
#> D74_65 1 0.000 0.989 1.00 0.00
#> D74_66 1 0.000 0.989 1.00 0.00
#> D74_67 1 0.000 0.989 1.00 0.00
#> D74_68 2 0.327 0.926 0.06 0.94
#> D74_70 1 0.000 0.989 1.00 0.00
#> D74_75 2 0.000 0.983 0.00 1.00
#> D74_77 2 0.000 0.983 0.00 1.00
#> D74_82 2 0.000 0.983 0.00 1.00
#> D74_83 1 0.000 0.989 1.00 0.00
#> D74_85 2 0.000 0.983 0.00 1.00
#> D74_86 2 0.000 0.983 0.00 1.00
#> D74_87 2 0.000 0.983 0.00 1.00
#> D74_88 2 0.000 0.983 0.00 1.00
#> D74_92 1 0.529 0.862 0.88 0.12
#> D74_95 1 0.000 0.989 1.00 0.00
#> D71_3 1 0.000 0.989 1.00 0.00
#> D71_4 1 0.000 0.989 1.00 0.00
#> D71_9 1 0.000 0.989 1.00 0.00
#> D71_15 1 0.000 0.989 1.00 0.00
#> D71_19 1 0.000 0.989 1.00 0.00
#> D71_20 1 0.000 0.989 1.00 0.00
#> D71_21 1 0.000 0.989 1.00 0.00
#> D71_29 1 0.000 0.989 1.00 0.00
#> D71_30 1 0.000 0.989 1.00 0.00
#> D71_35 1 0.000 0.989 1.00 0.00
#> D71_37 1 0.000 0.989 1.00 0.00
#> D71_40 1 0.000 0.989 1.00 0.00
#> D71_42 1 0.000 0.989 1.00 0.00
#> D71_43 2 0.000 0.983 0.00 1.00
#> D71_48 1 0.000 0.989 1.00 0.00
#> D71_54 2 0.402 0.905 0.08 0.92
#> D71_55 2 0.981 0.286 0.42 0.58
#> D71_57 1 0.000 0.989 1.00 0.00
#> D71_61 2 0.141 0.965 0.02 0.98
#> D71_62 1 0.000 0.989 1.00 0.00
#> D71_76 1 0.000 0.989 1.00 0.00
#> D71_79 1 0.000 0.989 1.00 0.00
#> D71_82 1 0.000 0.989 1.00 0.00
#> D71_83 1 0.000 0.989 1.00 0.00
#> D71_86 1 0.000 0.989 1.00 0.00
#> D71_87 1 0.469 0.886 0.90 0.10
#> D71_91 1 0.000 0.989 1.00 0.00
#> D71_94 1 0.000 0.989 1.00 0.00
#> D72_67 1 0.000 0.989 1.00 0.00
#> D72_69 1 0.000 0.989 1.00 0.00
#> D72_81 1 0.000 0.989 1.00 0.00
#> D72_88 1 0.000 0.989 1.00 0.00
#> D72_91 1 0.000 0.989 1.00 0.00
#> D72_96 1 0.000 0.989 1.00 0.00
#> D73_1 1 0.000 0.989 1.00 0.00
#> D73_3 1 0.000 0.989 1.00 0.00
#> D73_4 2 0.000 0.983 0.00 1.00
#> D73_6 2 0.760 0.720 0.22 0.78
#> D73_9 1 0.000 0.989 1.00 0.00
#> D73_10 1 0.000 0.989 1.00 0.00
#> D73_12 1 0.000 0.989 1.00 0.00
#> D73_14 1 0.000 0.989 1.00 0.00
#> D73_17 1 0.000 0.989 1.00 0.00
#> D73_21 1 0.000 0.989 1.00 0.00
#> D73_22 2 0.000 0.983 0.00 1.00
#> D73_28 1 0.000 0.989 1.00 0.00
#> D73_31 1 0.000 0.989 1.00 0.00
#> D73_32 1 0.000 0.989 1.00 0.00
#> D73_33 1 0.000 0.989 1.00 0.00
#> D73_41 1 0.000 0.989 1.00 0.00
#> D73_42 2 0.000 0.983 0.00 1.00
#> D73_55 1 0.000 0.989 1.00 0.00
#> D73_58 1 0.000 0.989 1.00 0.00
#> D73_59 2 0.000 0.983 0.00 1.00
#> D73_61 1 0.000 0.989 1.00 0.00
#> D73_62 2 0.242 0.946 0.04 0.96
#> D73_67 1 0.000 0.989 1.00 0.00
#> D73_69 2 0.000 0.983 0.00 1.00
#> D73_72 2 0.000 0.983 0.00 1.00
#> D73_76 1 0.760 0.717 0.78 0.22
#> D73_79 1 0.242 0.952 0.96 0.04
#> D73_81 2 0.000 0.983 0.00 1.00
#> D73_82 2 0.000 0.983 0.00 1.00
#> D73_85 2 0.000 0.983 0.00 1.00
#> D73_86 2 0.000 0.983 0.00 1.00
#> D73_87 1 0.000 0.989 1.00 0.00
#> D73_91 2 0.000 0.983 0.00 1.00
#> D73_92 2 0.000 0.983 0.00 1.00
#> D10631_61 1 0.000 0.989 1.00 0.00
#> D101_10 1 0.000 0.989 1.00 0.00
#> D101_13 1 0.000 0.989 1.00 0.00
#> D101_14 1 0.000 0.989 1.00 0.00
#> D101_22 1 0.000 0.989 1.00 0.00
#> D101_25 2 0.000 0.983 0.00 1.00
#> D101_31 2 0.000 0.983 0.00 1.00
#> D101_35 1 0.242 0.952 0.96 0.04
#> D101_43 2 0.000 0.983 0.00 1.00
#> D101_81 1 0.971 0.331 0.60 0.40
#> D101_84 1 0.000 0.989 1.00 0.00
#> D101_93 1 0.000 0.989 1.00 0.00
#> D101_95 2 0.000 0.983 0.00 1.00
#> D102_4 1 0.000 0.989 1.00 0.00
#> D102_7 2 0.000 0.983 0.00 1.00
#> D102_11 1 0.000 0.989 1.00 0.00
#> D102_17 1 0.000 0.989 1.00 0.00
#> D102_18 1 0.000 0.989 1.00 0.00
#> D102_24 1 0.000 0.989 1.00 0.00
#> D102_25 2 0.000 0.983 0.00 1.00
#> D102_39 1 0.000 0.989 1.00 0.00
#> D102_45 2 0.000 0.983 0.00 1.00
#> D102_50 1 0.000 0.989 1.00 0.00
#> D102_55 2 0.000 0.983 0.00 1.00
#> D102_58 2 0.000 0.983 0.00 1.00
#> D102_59 1 0.000 0.989 1.00 0.00
#> D102_61 2 0.000 0.983 0.00 1.00
#> D102_63 2 0.000 0.983 0.00 1.00
#> D102_66 2 0.000 0.983 0.00 1.00
#> D102_93 1 0.000 0.989 1.00 0.00
#> D102_96 2 0.000 0.983 0.00 1.00
#> D1713_9 2 0.000 0.983 0.00 1.00
#> D1713_11 1 0.000 0.989 1.00 0.00
#> D1713_19 1 0.000 0.989 1.00 0.00
#> D1713_21 1 0.000 0.989 1.00 0.00
#> D1713_26 1 0.141 0.971 0.98 0.02
#> D1713_90 2 0.000 0.983 0.00 1.00
#> D1713_95 2 0.000 0.983 0.00 1.00
#> D172444_1 1 0.000 0.989 1.00 0.00
#> D172444_8 1 0.000 0.989 1.00 0.00
#> D172444_9 1 0.000 0.989 1.00 0.00
#> D172444_13 1 0.000 0.989 1.00 0.00
#> D172444_18 1 0.000 0.989 1.00 0.00
#> D172444_21 1 0.000 0.989 1.00 0.00
#> D172444_29 1 0.000 0.989 1.00 0.00
#> D172444_32 1 0.000 0.989 1.00 0.00
#> D172444_36 1 0.000 0.989 1.00 0.00
#> D172444_37 1 0.000 0.989 1.00 0.00
#> D172444_38 1 0.000 0.989 1.00 0.00
#> D172444_42 1 0.000 0.989 1.00 0.00
#> D172444_43 1 0.000 0.989 1.00 0.00
#> D172444_47 1 0.000 0.989 1.00 0.00
#> D172444_48 1 0.000 0.989 1.00 0.00
#> D172444_49 2 0.000 0.983 0.00 1.00
#> D172444_51 1 0.000 0.989 1.00 0.00
#> D172444_54 1 0.000 0.989 1.00 0.00
#> D172444_55 1 0.000 0.989 1.00 0.00
#> D172444_56 1 0.000 0.989 1.00 0.00
#> D172444_57 1 0.000 0.989 1.00 0.00
#> D172444_60 1 0.000 0.989 1.00 0.00
#> D172444_62 1 0.000 0.989 1.00 0.00
#> D172444_65 2 0.000 0.983 0.00 1.00
#> D172444_66 1 0.000 0.989 1.00 0.00
#> D172444_67 1 0.000 0.989 1.00 0.00
#> D172444_71 1 0.000 0.989 1.00 0.00
#> D172444_72 1 0.000 0.989 1.00 0.00
#> D172444_73 1 0.000 0.989 1.00 0.00
#> D172444_76 1 0.000 0.989 1.00 0.00
#> D172444_77 1 0.000 0.989 1.00 0.00
#> D172444_78 2 0.000 0.983 0.00 1.00
#> D172444_79 1 0.000 0.989 1.00 0.00
#> D172444_81 1 0.000 0.989 1.00 0.00
#> D172444_83 1 0.000 0.989 1.00 0.00
#> D172444_85 1 0.000 0.989 1.00 0.00
#> D172444_86 2 0.000 0.983 0.00 1.00
#> D172444_87 1 0.000 0.989 1.00 0.00
#> D172444_91 1 0.000 0.989 1.00 0.00
#> D172444_93 1 0.000 0.989 1.00 0.00
#> D17All1_1 2 0.000 0.983 0.00 1.00
#> D17All1_2 2 0.000 0.983 0.00 1.00
#> D17All1_3 2 0.000 0.983 0.00 1.00
#> D17All1_4 2 0.000 0.983 0.00 1.00
#> D17All1_5 2 0.000 0.983 0.00 1.00
#> D17All1_6 1 0.000 0.989 1.00 0.00
#> D17All1_7 2 0.000 0.983 0.00 1.00
#> D17All1_8 2 0.000 0.983 0.00 1.00
#> D17All1_10 1 0.000 0.989 1.00 0.00
#> D17All1_12 2 0.000 0.983 0.00 1.00
#> D17All1_18 1 0.000 0.989 1.00 0.00
#> D17All1_19 2 0.000 0.983 0.00 1.00
#> D17All1_22 1 0.000 0.989 1.00 0.00
#> D17All1_23 2 0.000 0.983 0.00 1.00
#> D17All1_27 1 0.000 0.989 1.00 0.00
#> D17All1_28 1 0.000 0.989 1.00 0.00
#> D17All1_30 1 0.000 0.989 1.00 0.00
#> D17All1_33 2 0.000 0.983 0.00 1.00
#> D17All1_35 2 0.000 0.983 0.00 1.00
#> D17All1_37 2 0.000 0.983 0.00 1.00
#> D17All1_38 1 0.000 0.989 1.00 0.00
#> D17All1_39 2 0.000 0.983 0.00 1.00
#> D17All1_40 2 0.000 0.983 0.00 1.00
#> D17All1_42 2 0.000 0.983 0.00 1.00
#> D17All1_43 2 0.000 0.983 0.00 1.00
#> D17All1_46 1 0.529 0.862 0.88 0.12
#> D17All1_49 1 0.000 0.989 1.00 0.00
#> D17All1_51 1 0.000 0.989 1.00 0.00
#> D17All1_54 2 0.000 0.983 0.00 1.00
#> D17All1_55 2 0.000 0.983 0.00 1.00
#> D17All1_57 2 0.000 0.983 0.00 1.00
#> D17All1_59 1 0.855 0.612 0.72 0.28
#> D17All1_60 2 0.000 0.983 0.00 1.00
#> D17All1_61 2 0.000 0.983 0.00 1.00
#> D17All1_62 1 0.000 0.989 1.00 0.00
#> D17All1_63 2 0.000 0.983 0.00 1.00
#> D17All1_64 1 0.327 0.931 0.94 0.06
#> D17All1_66 2 0.000 0.983 0.00 1.00
#> D17All1_70 2 0.000 0.983 0.00 1.00
#> D17All1_71 2 0.000 0.983 0.00 1.00
#> D17All1_73 2 0.000 0.983 0.00 1.00
#> D17All1_74 2 0.000 0.983 0.00 1.00
#> D17All1_75 2 0.000 0.983 0.00 1.00
#> D17All1_77 2 0.000 0.983 0.00 1.00
#> D17All1_80 2 0.000 0.983 0.00 1.00
#> D17All1_81 2 0.000 0.983 0.00 1.00
#> D17All1_82 2 0.000 0.983 0.00 1.00
#> D17All1_83 2 0.000 0.983 0.00 1.00
#> D17All1_87 2 0.000 0.983 0.00 1.00
#> D17All1_88 2 0.000 0.983 0.00 1.00
#> D17All1_89 2 0.000 0.983 0.00 1.00
#> D17All1_90 2 0.000 0.983 0.00 1.00
#> D17All1_91 2 0.000 0.983 0.00 1.00
#> D17All1_93 2 0.000 0.983 0.00 1.00
#> D17All1_95 2 0.000 0.983 0.00 1.00
#> D17All2_1 1 0.000 0.989 1.00 0.00
#> D17All2_2 1 0.000 0.989 1.00 0.00
#> D17All2_6 2 0.000 0.983 0.00 1.00
#> D17All2_7 1 0.000 0.989 1.00 0.00
#> D17All2_9 2 0.000 0.983 0.00 1.00
#> D17All2_10 1 0.000 0.989 1.00 0.00
#> D17All2_11 1 0.000 0.989 1.00 0.00
#> D17All2_12 1 0.000 0.989 1.00 0.00
#> D17All2_13 2 0.000 0.983 0.00 1.00
#> D17All2_14 2 0.000 0.983 0.00 1.00
#> D17All2_15 2 0.000 0.983 0.00 1.00
#> D17All2_16 1 0.000 0.989 1.00 0.00
#> D17All2_17 2 0.000 0.983 0.00 1.00
#> D17All2_19 1 0.000 0.989 1.00 0.00
#> D17All2_20 1 0.000 0.989 1.00 0.00
#> D17All2_21 2 0.000 0.983 0.00 1.00
#> D17All2_22 2 0.000 0.983 0.00 1.00
#> D17All2_24 1 0.000 0.989 1.00 0.00
#> D17All2_26 1 0.000 0.989 1.00 0.00
#> D17All2_27 1 0.000 0.989 1.00 0.00
#> D17All2_28 1 0.000 0.989 1.00 0.00
#> D17All2_30 2 0.000 0.983 0.00 1.00
#> D17All2_34 2 0.904 0.538 0.32 0.68
#> D17All2_36 1 0.000 0.989 1.00 0.00
#> D17All2_37 1 0.469 0.886 0.90 0.10
#> D17All2_38 1 0.000 0.989 1.00 0.00
#> D17All2_39 2 0.000 0.983 0.00 1.00
#> D17All2_40 1 0.000 0.989 1.00 0.00
#> D17All2_41 2 0.000 0.983 0.00 1.00
#> D17All2_43 2 0.000 0.983 0.00 1.00
#> D17All2_44 1 0.000 0.989 1.00 0.00
#> D17All2_45 1 0.000 0.989 1.00 0.00
#> D17All2_46 2 0.000 0.983 0.00 1.00
#> D17All2_47 2 0.000 0.983 0.00 1.00
#> D17All2_49 2 0.000 0.983 0.00 1.00
#> D17All2_52 2 0.000 0.983 0.00 1.00
#> D17All2_55 2 0.000 0.983 0.00 1.00
#> D17All2_56 2 0.000 0.983 0.00 1.00
#> D17All2_57 2 0.981 0.285 0.42 0.58
#> D17All2_61 2 0.000 0.983 0.00 1.00
#> D17All2_62 2 0.000 0.983 0.00 1.00
#> D17All2_63 1 0.000 0.989 1.00 0.00
#> D17All2_64 2 0.000 0.983 0.00 1.00
#> D17All2_65 2 0.000 0.983 0.00 1.00
#> D17All2_68 2 0.000 0.983 0.00 1.00
#> D17All2_69 2 0.000 0.983 0.00 1.00
#> D17All2_74 1 0.000 0.989 1.00 0.00
#> D17All2_78 2 0.000 0.983 0.00 1.00
#> D17All2_84 1 0.000 0.989 1.00 0.00
#> D17All2_85 2 0.000 0.983 0.00 1.00
#> D17All2_87 2 0.000 0.983 0.00 1.00
#> D17All2_88 1 0.000 0.989 1.00 0.00
#> D17All2_90 1 0.141 0.971 0.98 0.02
#> D17All2_92 2 0.000 0.983 0.00 1.00
#> D17All2_94 2 0.000 0.983 0.00 1.00
#> D17All2_95 1 0.000 0.989 1.00 0.00
#> D17TGFB_1 1 0.000 0.989 1.00 0.00
#> D17TGFB_2 2 0.000 0.983 0.00 1.00
#> D17TGFB_11 1 0.000 0.989 1.00 0.00
#> D17TGFB_13 1 0.000 0.989 1.00 0.00
#> D17TGFB_15 1 0.000 0.989 1.00 0.00
#> D17TGFB_20 2 0.000 0.983 0.00 1.00
#> D17TGFB_35 1 0.000 0.989 1.00 0.00
#> D17TGFB_48 2 0.000 0.983 0.00 1.00
#> D17TGFB_52 2 0.000 0.983 0.00 1.00
#> D17TGFB_53 1 0.000 0.989 1.00 0.00
#> D17TGFB_63 1 0.000 0.989 1.00 0.00
#> D17TGFB_65 1 0.000 0.989 1.00 0.00
#> D17TGFB_68 2 0.000 0.983 0.00 1.00
#> D17TGFB_69 2 0.000 0.983 0.00 1.00
#> D17TGFB_70 1 0.000 0.989 1.00 0.00
#> D17TGFB_73 1 0.000 0.989 1.00 0.00
#> D17TGFB_75 1 0.000 0.989 1.00 0.00
#> D17TGFB_78 2 0.000 0.983 0.00 1.00
#> D17TGFB_82 2 0.000 0.983 0.00 1.00
#> D17TGFB_90 1 0.971 0.331 0.60 0.40
#> D17TGFB_91 2 0.000 0.983 0.00 1.00
#> D17TGFB_94 1 0.141 0.971 0.98 0.02
#> D17TGFB_95 2 0.000 0.983 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_43 2 0.5948 0.4273 0.00 0.64 0.36
#> D2ex_78 3 0.0000 0.9587 0.00 0.00 1.00
#> D3en1_63 2 0.0000 0.9848 0.00 1.00 0.00
#> D3en1_69 3 0.0000 0.9587 0.00 0.00 1.00
#> D3en3_51 1 0.0000 0.9748 1.00 0.00 0.00
#> D3en4_47 1 0.0000 0.9748 1.00 0.00 0.00
#> D3en4_56 3 0.0000 0.9587 0.00 0.00 1.00
#> D3en4_71 1 0.0000 0.9748 1.00 0.00 0.00
#> D3en4_91 1 0.0000 0.9748 1.00 0.00 0.00
#> D74_1 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_2 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_3 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_5 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_8 1 0.0000 0.9748 1.00 0.00 0.00
#> D74_9 1 0.6302 0.0718 0.52 0.00 0.48
#> D74_10 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_16 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_20 3 0.6244 0.2115 0.44 0.00 0.56
#> D74_25 3 0.3686 0.8184 0.14 0.00 0.86
#> D74_29 1 0.0000 0.9748 1.00 0.00 0.00
#> D74_32 1 0.0000 0.9748 1.00 0.00 0.00
#> D74_33 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_35 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_36 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_40 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_41 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_42 2 0.6280 0.1508 0.46 0.54 0.00
#> D74_49 3 0.6126 0.3416 0.00 0.40 0.60
#> D74_51 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_52 1 0.0000 0.9748 1.00 0.00 0.00
#> D74_53 3 0.5948 0.4375 0.00 0.36 0.64
#> D74_55 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_56 1 0.0000 0.9748 1.00 0.00 0.00
#> D74_57 1 0.0000 0.9748 1.00 0.00 0.00
#> D74_61 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_65 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_66 3 0.4002 0.7938 0.16 0.00 0.84
#> D74_67 1 0.0000 0.9748 1.00 0.00 0.00
#> D74_68 1 0.2959 0.8698 0.90 0.10 0.00
#> D74_70 1 0.0000 0.9748 1.00 0.00 0.00
#> D74_75 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_77 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_82 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_83 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_85 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_86 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_87 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_88 2 0.0000 0.9848 0.00 1.00 0.00
#> D74_92 3 0.0000 0.9587 0.00 0.00 1.00
#> D74_95 1 0.0000 0.9748 1.00 0.00 0.00
#> D71_3 1 0.0000 0.9748 1.00 0.00 0.00
#> D71_4 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_9 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_15 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_19 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_20 1 0.0000 0.9748 1.00 0.00 0.00
#> D71_21 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_29 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_30 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_35 1 0.2537 0.8977 0.92 0.00 0.08
#> D71_37 1 0.0000 0.9748 1.00 0.00 0.00
#> D71_40 1 0.0000 0.9748 1.00 0.00 0.00
#> D71_42 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_43 2 0.0000 0.9848 0.00 1.00 0.00
#> D71_48 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_54 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_55 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_57 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_61 3 0.1529 0.9265 0.00 0.04 0.96
#> D71_62 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_76 1 0.0000 0.9748 1.00 0.00 0.00
#> D71_79 1 0.3340 0.8527 0.88 0.00 0.12
#> D71_82 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_83 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_86 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_87 1 0.8271 0.1946 0.52 0.08 0.40
#> D71_91 3 0.0000 0.9587 0.00 0.00 1.00
#> D71_94 1 0.3340 0.8527 0.88 0.00 0.12
#> D72_67 1 0.0000 0.9748 1.00 0.00 0.00
#> D72_69 1 0.0000 0.9748 1.00 0.00 0.00
#> D72_81 1 0.5835 0.4857 0.66 0.00 0.34
#> D72_88 1 0.0000 0.9748 1.00 0.00 0.00
#> D72_91 1 0.0000 0.9748 1.00 0.00 0.00
#> D72_96 3 0.5216 0.6415 0.26 0.00 0.74
#> D73_1 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_3 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_4 2 0.0000 0.9848 0.00 1.00 0.00
#> D73_6 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_9 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_10 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_12 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_14 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_17 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_21 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_22 3 0.5397 0.6083 0.00 0.28 0.72
#> D73_28 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_31 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_32 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_33 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_41 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_42 2 0.0000 0.9848 0.00 1.00 0.00
#> D73_55 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_58 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_59 2 0.0000 0.9848 0.00 1.00 0.00
#> D73_61 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_62 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_67 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_69 2 0.0000 0.9848 0.00 1.00 0.00
#> D73_72 2 0.6302 0.0570 0.00 0.52 0.48
#> D73_76 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_79 1 0.0000 0.9748 1.00 0.00 0.00
#> D73_81 2 0.0000 0.9848 0.00 1.00 0.00
#> D73_82 2 0.0000 0.9848 0.00 1.00 0.00
#> D73_85 2 0.0000 0.9848 0.00 1.00 0.00
#> D73_86 2 0.0000 0.9848 0.00 1.00 0.00
#> D73_87 3 0.0000 0.9587 0.00 0.00 1.00
#> D73_91 2 0.0000 0.9848 0.00 1.00 0.00
#> D73_92 3 0.4796 0.7093 0.00 0.22 0.78
#> D10631_61 1 0.0000 0.9748 1.00 0.00 0.00
#> D101_10 1 0.0000 0.9748 1.00 0.00 0.00
#> D101_13 3 0.0000 0.9587 0.00 0.00 1.00
#> D101_14 3 0.6302 0.0684 0.48 0.00 0.52
#> D101_22 3 0.4291 0.7683 0.18 0.00 0.82
#> D101_25 2 0.0892 0.9645 0.02 0.98 0.00
#> D101_31 2 0.0000 0.9848 0.00 1.00 0.00
#> D101_35 3 0.0000 0.9587 0.00 0.00 1.00
#> D101_43 2 0.0000 0.9848 0.00 1.00 0.00
#> D101_81 1 0.0000 0.9748 1.00 0.00 0.00
#> D101_84 1 0.0000 0.9748 1.00 0.00 0.00
#> D101_93 1 0.0000 0.9748 1.00 0.00 0.00
#> D101_95 2 0.0000 0.9848 0.00 1.00 0.00
#> D102_4 1 0.0892 0.9571 0.98 0.00 0.02
#> D102_7 2 0.0000 0.9848 0.00 1.00 0.00
#> D102_11 3 0.0000 0.9587 0.00 0.00 1.00
#> D102_17 1 0.5835 0.4865 0.66 0.00 0.34
#> D102_18 3 0.0000 0.9587 0.00 0.00 1.00
#> D102_24 3 0.0000 0.9587 0.00 0.00 1.00
#> D102_25 2 0.0000 0.9848 0.00 1.00 0.00
#> D102_39 3 0.0000 0.9587 0.00 0.00 1.00
#> D102_45 3 0.0000 0.9587 0.00 0.00 1.00
#> D102_50 3 0.5560 0.5670 0.30 0.00 0.70
#> D102_55 2 0.0000 0.9848 0.00 1.00 0.00
#> D102_58 2 0.0000 0.9848 0.00 1.00 0.00
#> D102_59 3 0.0000 0.9587 0.00 0.00 1.00
#> D102_61 2 0.0000 0.9848 0.00 1.00 0.00
#> D102_63 2 0.0000 0.9848 0.00 1.00 0.00
#> D102_66 2 0.0000 0.9848 0.00 1.00 0.00
#> D102_93 1 0.0000 0.9748 1.00 0.00 0.00
#> D102_96 2 0.0000 0.9848 0.00 1.00 0.00
#> D1713_9 2 0.0000 0.9848 0.00 1.00 0.00
#> D1713_11 3 0.0000 0.9587 0.00 0.00 1.00
#> D1713_19 3 0.0000 0.9587 0.00 0.00 1.00
#> D1713_21 1 0.0000 0.9748 1.00 0.00 0.00
#> D1713_26 1 0.5147 0.7568 0.80 0.02 0.18
#> D1713_90 2 0.0000 0.9848 0.00 1.00 0.00
#> D1713_95 3 0.0000 0.9587 0.00 0.00 1.00
#> D172444_1 3 0.5706 0.5275 0.32 0.00 0.68
#> D172444_8 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_9 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_13 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_18 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_21 3 0.0000 0.9587 0.00 0.00 1.00
#> D172444_29 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_32 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_36 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_37 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_38 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_42 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_43 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_47 3 0.0000 0.9587 0.00 0.00 1.00
#> D172444_48 3 0.0000 0.9587 0.00 0.00 1.00
#> D172444_49 2 0.0000 0.9848 0.00 1.00 0.00
#> D172444_51 3 0.0000 0.9587 0.00 0.00 1.00
#> D172444_54 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_55 3 0.0000 0.9587 0.00 0.00 1.00
#> D172444_56 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_57 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_60 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_62 1 0.3686 0.8276 0.86 0.00 0.14
#> D172444_65 3 0.2537 0.8859 0.00 0.08 0.92
#> D172444_66 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_67 3 0.0000 0.9587 0.00 0.00 1.00
#> D172444_71 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_72 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_73 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_76 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_77 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_78 2 0.0000 0.9848 0.00 1.00 0.00
#> D172444_79 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_81 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_83 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_85 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_86 2 0.0000 0.9848 0.00 1.00 0.00
#> D172444_87 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_91 1 0.0000 0.9748 1.00 0.00 0.00
#> D172444_93 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All1_1 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_2 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_3 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_4 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_5 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_6 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All1_7 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_8 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_10 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All1_12 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_18 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All1_19 3 0.2066 0.9069 0.00 0.06 0.94
#> D17All1_22 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All1_23 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All1_27 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All1_28 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All1_30 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All1_33 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_35 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All1_37 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_38 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All1_39 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_40 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_42 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_43 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_46 1 0.0892 0.9555 0.98 0.02 0.00
#> D17All1_49 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All1_51 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All1_54 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_55 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_57 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_59 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All1_60 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All1_61 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_62 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All1_63 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_64 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All1_66 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_70 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_71 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All1_73 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_74 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_75 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_77 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_80 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_81 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_82 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_83 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_87 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_88 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_89 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_90 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_91 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_93 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All1_95 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_1 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_2 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_6 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_7 3 0.0892 0.9423 0.02 0.00 0.98
#> D17All2_9 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_10 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_11 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_12 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_13 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_14 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_15 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_16 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_17 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_19 1 0.6045 0.3876 0.62 0.00 0.38
#> D17All2_20 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_21 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_22 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_24 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_26 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_27 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_28 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_30 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_34 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_36 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_37 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_38 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_39 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_40 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_41 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_43 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_44 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_45 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_46 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_47 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_49 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_52 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_55 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_56 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_57 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_61 2 0.1529 0.9434 0.04 0.96 0.00
#> D17All2_62 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_63 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_64 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_65 3 0.0892 0.9430 0.00 0.02 0.98
#> D17All2_68 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_69 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_74 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_78 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_84 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_85 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_87 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_88 1 0.0000 0.9748 1.00 0.00 0.00
#> D17All2_90 3 0.0000 0.9587 0.00 0.00 1.00
#> D17All2_92 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_94 2 0.0000 0.9848 0.00 1.00 0.00
#> D17All2_95 3 0.0000 0.9587 0.00 0.00 1.00
#> D17TGFB_1 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_2 2 0.0000 0.9848 0.00 1.00 0.00
#> D17TGFB_11 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_13 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_15 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_20 2 0.0000 0.9848 0.00 1.00 0.00
#> D17TGFB_35 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_48 2 0.0000 0.9848 0.00 1.00 0.00
#> D17TGFB_52 2 0.0000 0.9848 0.00 1.00 0.00
#> D17TGFB_53 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_63 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_65 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_68 2 0.0000 0.9848 0.00 1.00 0.00
#> D17TGFB_69 2 0.0000 0.9848 0.00 1.00 0.00
#> D17TGFB_70 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_73 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_75 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_78 2 0.0000 0.9848 0.00 1.00 0.00
#> D17TGFB_82 2 0.0000 0.9848 0.00 1.00 0.00
#> D17TGFB_90 1 0.1529 0.9355 0.96 0.04 0.00
#> D17TGFB_91 2 0.0000 0.9848 0.00 1.00 0.00
#> D17TGFB_94 1 0.0000 0.9748 1.00 0.00 0.00
#> D17TGFB_95 2 0.5560 0.5715 0.30 0.70 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_43 2 0.2345 0.7583 0.00 0.90 0.10 0.00
#> D2ex_78 3 0.3400 0.7845 0.00 0.18 0.82 0.00
#> D3en1_63 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D3en1_69 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D3en3_51 1 0.1637 0.8717 0.94 0.00 0.06 0.00
#> D3en4_47 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D3en4_56 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D3en4_71 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D3en4_91 4 0.3172 0.7142 0.16 0.00 0.00 0.84
#> D74_1 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D74_2 2 0.4977 -0.0332 0.00 0.54 0.46 0.00
#> D74_3 3 0.3172 0.7991 0.00 0.16 0.84 0.00
#> D74_5 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D74_8 1 0.2921 0.8271 0.86 0.00 0.00 0.14
#> D74_9 3 0.4855 0.3567 0.40 0.00 0.60 0.00
#> D74_10 3 0.3610 0.7659 0.00 0.20 0.80 0.00
#> D74_16 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D74_20 3 0.4624 0.4980 0.34 0.00 0.66 0.00
#> D74_25 3 0.3610 0.7218 0.20 0.00 0.80 0.00
#> D74_29 1 0.1211 0.8926 0.96 0.00 0.00 0.04
#> D74_32 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D74_33 3 0.3400 0.7845 0.00 0.18 0.82 0.00
#> D74_35 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D74_36 3 0.0707 0.8759 0.00 0.02 0.98 0.00
#> D74_40 2 0.3975 0.7662 0.00 0.76 0.00 0.24
#> D74_41 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D74_42 4 0.2345 0.7681 0.10 0.00 0.00 0.90
#> D74_49 2 0.0707 0.8186 0.00 0.98 0.02 0.00
#> D74_51 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D74_52 4 0.3172 0.7142 0.16 0.00 0.00 0.84
#> D74_53 2 0.2011 0.7726 0.00 0.92 0.08 0.00
#> D74_55 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D74_56 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D74_57 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D74_61 3 0.0707 0.8759 0.00 0.02 0.98 0.00
#> D74_65 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D74_66 3 0.3801 0.6973 0.22 0.00 0.78 0.00
#> D74_67 4 0.3801 0.6281 0.22 0.00 0.00 0.78
#> D74_68 4 0.3172 0.7142 0.16 0.00 0.00 0.84
#> D74_70 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D74_75 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D74_77 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D74_82 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D74_83 3 0.1211 0.8616 0.04 0.00 0.96 0.00
#> D74_85 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D74_86 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D74_87 4 0.3975 0.6838 0.00 0.24 0.00 0.76
#> D74_88 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D74_92 3 0.0707 0.8756 0.00 0.02 0.98 0.00
#> D74_95 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D71_3 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D71_4 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_9 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_15 3 0.0707 0.8727 0.02 0.00 0.98 0.00
#> D71_19 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_20 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D71_21 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_29 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_30 3 0.2921 0.7869 0.14 0.00 0.86 0.00
#> D71_35 1 0.4624 0.4697 0.66 0.00 0.34 0.00
#> D71_37 1 0.4855 0.4153 0.60 0.00 0.00 0.40
#> D71_40 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D71_42 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_43 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D71_48 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_54 3 0.4522 0.6082 0.00 0.32 0.68 0.00
#> D71_55 3 0.3400 0.7845 0.00 0.18 0.82 0.00
#> D71_57 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_61 2 0.4713 0.2977 0.00 0.64 0.36 0.00
#> D71_62 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_76 1 0.3801 0.7394 0.78 0.00 0.00 0.22
#> D71_79 1 0.4790 0.3690 0.62 0.00 0.38 0.00
#> D71_82 3 0.0707 0.8759 0.00 0.02 0.98 0.00
#> D71_83 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_86 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D71_87 3 0.7252 0.3096 0.38 0.06 0.52 0.04
#> D71_91 3 0.1637 0.8493 0.06 0.00 0.94 0.00
#> D71_94 1 0.4713 0.4208 0.64 0.00 0.36 0.00
#> D72_67 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D72_69 1 0.3610 0.7244 0.80 0.00 0.20 0.00
#> D72_81 3 0.4977 0.1779 0.46 0.00 0.54 0.00
#> D72_88 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D72_91 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D72_96 3 0.4277 0.6075 0.28 0.00 0.72 0.00
#> D73_1 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D73_3 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D73_4 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D73_6 4 0.3172 0.7138 0.16 0.00 0.00 0.84
#> D73_9 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D73_10 1 0.3172 0.8089 0.84 0.00 0.00 0.16
#> D73_12 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D73_14 1 0.2921 0.8271 0.86 0.00 0.00 0.14
#> D73_17 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D73_21 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D73_22 2 0.2345 0.7561 0.00 0.90 0.10 0.00
#> D73_28 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D73_31 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D73_32 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D73_33 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D73_41 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D73_42 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D73_55 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D73_58 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D73_59 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D73_61 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D73_62 3 0.4277 0.6675 0.00 0.28 0.72 0.00
#> D73_67 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D73_69 4 0.2647 0.8351 0.00 0.12 0.00 0.88
#> D73_72 2 0.1211 0.8047 0.00 0.96 0.04 0.00
#> D73_76 3 0.3172 0.7995 0.00 0.16 0.84 0.00
#> D73_79 4 0.4277 0.5263 0.28 0.00 0.00 0.72
#> D73_81 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D73_82 2 0.2647 0.8338 0.00 0.88 0.00 0.12
#> D73_85 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D73_86 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D73_87 3 0.0707 0.8759 0.00 0.02 0.98 0.00
#> D73_91 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D73_92 2 0.2647 0.7355 0.00 0.88 0.12 0.00
#> D10631_61 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D101_10 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D101_13 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D101_14 3 0.4713 0.4537 0.36 0.00 0.64 0.00
#> D101_22 3 0.4134 0.6407 0.26 0.00 0.74 0.00
#> D101_25 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D101_31 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D101_35 3 0.3172 0.7991 0.00 0.16 0.84 0.00
#> D101_43 4 0.3610 0.7478 0.00 0.20 0.00 0.80
#> D101_81 4 0.3610 0.6581 0.20 0.00 0.00 0.80
#> D101_84 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D101_93 1 0.2921 0.7987 0.86 0.00 0.14 0.00
#> D101_95 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D102_4 1 0.3400 0.7508 0.82 0.00 0.18 0.00
#> D102_7 2 0.2647 0.8374 0.00 0.88 0.00 0.12
#> D102_11 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D102_17 3 0.4948 0.2437 0.44 0.00 0.56 0.00
#> D102_18 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D102_24 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D102_25 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D102_39 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D102_45 2 0.4406 0.4512 0.00 0.70 0.30 0.00
#> D102_50 3 0.4134 0.6410 0.26 0.00 0.74 0.00
#> D102_55 2 0.2921 0.8351 0.00 0.86 0.00 0.14
#> D102_58 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D102_59 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D102_61 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D102_63 2 0.1211 0.8365 0.00 0.96 0.00 0.04
#> D102_66 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D102_93 1 0.1211 0.8924 0.96 0.00 0.00 0.04
#> D102_96 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D1713_9 4 0.2647 0.8351 0.00 0.12 0.00 0.88
#> D1713_11 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D1713_19 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D1713_21 1 0.2011 0.8696 0.92 0.00 0.00 0.08
#> D1713_26 1 0.5592 0.5487 0.68 0.02 0.28 0.02
#> D1713_90 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D1713_95 2 0.3400 0.6663 0.00 0.82 0.18 0.00
#> D172444_1 3 0.4713 0.4556 0.36 0.00 0.64 0.00
#> D172444_8 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_9 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_13 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_18 1 0.0707 0.8995 0.98 0.00 0.02 0.00
#> D172444_21 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D172444_29 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_32 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_36 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_37 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_38 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_42 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_43 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_47 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D172444_48 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D172444_49 4 0.2345 0.8382 0.00 0.10 0.00 0.90
#> D172444_51 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D172444_54 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_55 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D172444_56 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_57 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_60 1 0.4948 0.3080 0.56 0.00 0.00 0.44
#> D172444_62 1 0.4624 0.4708 0.66 0.00 0.34 0.00
#> D172444_65 2 0.2647 0.7368 0.00 0.88 0.12 0.00
#> D172444_66 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_67 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D172444_71 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_72 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_73 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_76 1 0.3172 0.7758 0.84 0.00 0.16 0.00
#> D172444_77 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_78 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D172444_79 1 0.2921 0.8271 0.86 0.00 0.00 0.14
#> D172444_81 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_83 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_85 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_86 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D172444_87 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_91 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D172444_93 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17All1_1 4 0.1211 0.8413 0.00 0.04 0.00 0.96
#> D17All1_2 2 0.4994 0.1925 0.00 0.52 0.00 0.48
#> D17All1_3 2 0.2647 0.8377 0.00 0.88 0.00 0.12
#> D17All1_4 4 0.4522 0.5132 0.00 0.32 0.00 0.68
#> D17All1_5 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_6 3 0.3172 0.7991 0.00 0.16 0.84 0.00
#> D17All1_7 2 0.1637 0.8384 0.00 0.94 0.00 0.06
#> D17All1_8 4 0.2647 0.8351 0.00 0.12 0.00 0.88
#> D17All1_10 1 0.4624 0.5487 0.66 0.00 0.00 0.34
#> D17All1_12 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D17All1_18 1 0.2345 0.8392 0.90 0.00 0.10 0.00
#> D17All1_19 2 0.3400 0.6702 0.00 0.82 0.18 0.00
#> D17All1_22 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D17All1_23 3 0.4994 0.2216 0.00 0.48 0.52 0.00
#> D17All1_27 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17All1_28 1 0.3400 0.7508 0.82 0.00 0.18 0.00
#> D17All1_30 1 0.2921 0.8271 0.86 0.00 0.00 0.14
#> D17All1_33 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_35 3 0.4134 0.6956 0.00 0.26 0.74 0.00
#> D17All1_37 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_38 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D17All1_39 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_40 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_42 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17All1_43 4 0.2647 0.8351 0.00 0.12 0.00 0.88
#> D17All1_46 1 0.4522 0.5823 0.68 0.00 0.00 0.32
#> D17All1_49 1 0.2921 0.8271 0.86 0.00 0.00 0.14
#> D17All1_51 3 0.2921 0.8121 0.00 0.14 0.86 0.00
#> D17All1_54 2 0.3975 0.7637 0.00 0.76 0.00 0.24
#> D17All1_55 4 0.2647 0.8351 0.00 0.12 0.00 0.88
#> D17All1_57 4 0.2647 0.8351 0.00 0.12 0.00 0.88
#> D17All1_59 3 0.3400 0.7845 0.00 0.18 0.82 0.00
#> D17All1_60 3 0.3610 0.7666 0.00 0.20 0.80 0.00
#> D17All1_61 2 0.3975 0.7637 0.00 0.76 0.00 0.24
#> D17All1_62 1 0.2647 0.8425 0.88 0.00 0.00 0.12
#> D17All1_63 2 0.1637 0.8382 0.00 0.94 0.00 0.06
#> D17All1_64 4 0.4907 0.1705 0.42 0.00 0.00 0.58
#> D17All1_66 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_70 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_71 3 0.3801 0.7452 0.00 0.22 0.78 0.00
#> D17All1_73 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17All1_74 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17All1_75 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_77 2 0.3610 0.8089 0.00 0.80 0.00 0.20
#> D17All1_80 2 0.3975 0.7637 0.00 0.76 0.00 0.24
#> D17All1_81 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D17All1_82 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_83 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_87 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_88 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D17All1_89 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D17All1_90 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D17All1_91 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All1_93 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17All1_95 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D17All2_1 1 0.2921 0.8271 0.86 0.00 0.00 0.14
#> D17All2_2 3 0.3400 0.7845 0.00 0.18 0.82 0.00
#> D17All2_6 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17All2_7 3 0.2647 0.8050 0.12 0.00 0.88 0.00
#> D17All2_9 4 0.2647 0.8351 0.00 0.12 0.00 0.88
#> D17All2_10 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D17All2_11 1 0.3172 0.8089 0.84 0.00 0.00 0.16
#> D17All2_12 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D17All2_13 2 0.2011 0.8386 0.00 0.92 0.00 0.08
#> D17All2_14 2 0.4134 0.7355 0.00 0.74 0.00 0.26
#> D17All2_15 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D17All2_16 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17All2_17 4 0.2647 0.8351 0.00 0.12 0.00 0.88
#> D17All2_19 3 0.4977 0.1799 0.46 0.00 0.54 0.00
#> D17All2_20 3 0.1637 0.8573 0.00 0.06 0.94 0.00
#> D17All2_21 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All2_22 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D17All2_24 1 0.2921 0.8271 0.86 0.00 0.00 0.14
#> D17All2_26 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D17All2_27 1 0.3172 0.8089 0.84 0.00 0.00 0.16
#> D17All2_28 1 0.3801 0.6961 0.78 0.00 0.22 0.00
#> D17All2_30 3 0.4624 0.5671 0.00 0.34 0.66 0.00
#> D17All2_34 3 0.3610 0.7659 0.00 0.20 0.80 0.00
#> D17All2_36 3 0.0707 0.8759 0.00 0.02 0.98 0.00
#> D17All2_37 4 0.4713 0.3465 0.36 0.00 0.00 0.64
#> D17All2_38 1 0.0707 0.8996 0.98 0.00 0.02 0.00
#> D17All2_39 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D17All2_40 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17All2_41 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D17All2_43 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17All2_44 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17All2_45 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17All2_46 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17All2_47 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D17All2_49 2 0.3801 0.7878 0.00 0.78 0.00 0.22
#> D17All2_52 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17All2_55 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All2_56 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All2_57 3 0.3400 0.7845 0.00 0.18 0.82 0.00
#> D17All2_61 4 0.1637 0.8411 0.00 0.06 0.00 0.94
#> D17All2_62 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17All2_63 1 0.0707 0.8996 0.98 0.00 0.02 0.00
#> D17All2_64 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All2_65 2 0.2647 0.7355 0.00 0.88 0.12 0.00
#> D17All2_68 2 0.3172 0.8318 0.00 0.84 0.00 0.16
#> D17All2_69 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D17All2_74 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17All2_78 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D17All2_84 1 0.2921 0.8271 0.86 0.00 0.00 0.14
#> D17All2_85 4 0.4277 0.6088 0.00 0.28 0.00 0.72
#> D17All2_87 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17All2_88 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17All2_90 3 0.3400 0.7845 0.00 0.18 0.82 0.00
#> D17All2_92 2 0.3975 0.7637 0.00 0.76 0.00 0.24
#> D17All2_94 2 0.0000 0.8307 0.00 1.00 0.00 0.00
#> D17All2_95 3 0.0000 0.8823 0.00 0.00 1.00 0.00
#> D17TGFB_1 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17TGFB_2 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17TGFB_11 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17TGFB_13 1 0.2345 0.8564 0.90 0.00 0.00 0.10
#> D17TGFB_15 1 0.2647 0.8196 0.88 0.00 0.12 0.00
#> D17TGFB_20 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17TGFB_35 1 0.2921 0.8271 0.86 0.00 0.00 0.14
#> D17TGFB_48 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D17TGFB_52 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D17TGFB_53 1 0.4948 0.3061 0.56 0.00 0.00 0.44
#> D17TGFB_63 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17TGFB_65 1 0.0000 0.9108 1.00 0.00 0.00 0.00
#> D17TGFB_68 2 0.3400 0.8275 0.00 0.82 0.00 0.18
#> D17TGFB_69 4 0.2647 0.8351 0.00 0.12 0.00 0.88
#> D17TGFB_70 1 0.2011 0.8696 0.92 0.00 0.00 0.08
#> D17TGFB_73 1 0.4713 0.5035 0.64 0.00 0.00 0.36
#> D17TGFB_75 1 0.1637 0.8815 0.94 0.00 0.00 0.06
#> D17TGFB_78 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D17TGFB_82 4 0.2921 0.8247 0.00 0.14 0.00 0.86
#> D17TGFB_90 4 0.4713 0.3489 0.36 0.00 0.00 0.64
#> D17TGFB_91 4 0.0000 0.8393 0.00 0.00 0.00 1.00
#> D17TGFB_94 1 0.4855 0.4124 0.60 0.00 0.00 0.40
#> D17TGFB_95 4 0.0707 0.8278 0.02 0.00 0.00 0.98
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 325 0.066098 2
#> ATC:skmeans 318 0.000257 3
#> ATC:skmeans 306 0.013055 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node021. Child nodes: Node01121-leaf , Node01122-leaf , Node01321-leaf , Node01322-leaf , Node02111-leaf , Node02112-leaf , Node02121-leaf , Node02122-leaf , Node02123-leaf , Node02211-leaf , Node02212-leaf , Node02213-leaf , Node02221-leaf , Node02222-leaf , Node02321-leaf , Node02322-leaf , Node02331-leaf , Node02332-leaf , Node02333-leaf .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["0211"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 8901 rows and 187 columns.
#> Top rows (847) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.978 0.991 0.503 0.498 0.498
#> 3 3 0.722 0.868 0.901 0.285 0.799 0.615
#> 4 4 0.876 0.857 0.938 0.132 0.879 0.670
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D3en1_69 1 0.000 0.989 1.00 0.00
#> D3en3_51 2 0.990 0.204 0.44 0.56
#> D3en4_47 2 0.000 0.993 0.00 1.00
#> D3en4_56 1 0.000 0.989 1.00 0.00
#> D3en4_71 2 0.000 0.993 0.00 1.00
#> D74_3 1 0.000 0.989 1.00 0.00
#> D74_8 2 0.000 0.993 0.00 1.00
#> D74_9 1 0.000 0.989 1.00 0.00
#> D74_16 1 0.000 0.989 1.00 0.00
#> D74_20 1 0.000 0.989 1.00 0.00
#> D74_25 1 0.000 0.989 1.00 0.00
#> D74_29 2 0.000 0.993 0.00 1.00
#> D74_32 2 0.000 0.993 0.00 1.00
#> D74_33 1 0.000 0.989 1.00 0.00
#> D74_35 1 0.000 0.989 1.00 0.00
#> D74_36 1 0.000 0.989 1.00 0.00
#> D74_51 1 0.000 0.989 1.00 0.00
#> D74_56 2 0.000 0.993 0.00 1.00
#> D74_57 2 0.000 0.993 0.00 1.00
#> D74_61 1 0.000 0.989 1.00 0.00
#> D74_65 1 0.000 0.989 1.00 0.00
#> D74_66 1 0.000 0.989 1.00 0.00
#> D74_67 2 0.000 0.993 0.00 1.00
#> D74_70 2 0.000 0.993 0.00 1.00
#> D74_83 1 0.000 0.989 1.00 0.00
#> D74_92 1 0.000 0.989 1.00 0.00
#> D74_95 2 0.000 0.993 0.00 1.00
#> D71_3 2 0.000 0.993 0.00 1.00
#> D71_4 1 0.000 0.989 1.00 0.00
#> D71_9 1 0.000 0.989 1.00 0.00
#> D71_15 1 0.000 0.989 1.00 0.00
#> D71_19 1 0.000 0.989 1.00 0.00
#> D71_20 2 0.000 0.993 0.00 1.00
#> D71_21 1 0.000 0.989 1.00 0.00
#> D71_29 1 0.000 0.989 1.00 0.00
#> D71_30 1 0.000 0.989 1.00 0.00
#> D71_35 1 0.000 0.989 1.00 0.00
#> D71_37 2 0.000 0.993 0.00 1.00
#> D71_40 2 0.000 0.993 0.00 1.00
#> D71_42 1 0.000 0.989 1.00 0.00
#> D71_48 1 0.000 0.989 1.00 0.00
#> D71_57 1 0.000 0.989 1.00 0.00
#> D71_62 1 0.000 0.989 1.00 0.00
#> D71_76 2 0.000 0.993 0.00 1.00
#> D71_79 1 0.000 0.989 1.00 0.00
#> D71_82 1 0.000 0.989 1.00 0.00
#> D71_83 1 0.000 0.989 1.00 0.00
#> D71_86 1 0.000 0.989 1.00 0.00
#> D71_87 1 0.000 0.989 1.00 0.00
#> D71_91 1 0.000 0.989 1.00 0.00
#> D71_94 1 0.000 0.989 1.00 0.00
#> D72_67 2 0.000 0.993 0.00 1.00
#> D72_69 1 0.000 0.989 1.00 0.00
#> D72_81 1 0.000 0.989 1.00 0.00
#> D72_88 2 0.000 0.993 0.00 1.00
#> D72_91 2 0.000 0.993 0.00 1.00
#> D72_96 1 0.000 0.989 1.00 0.00
#> D73_1 2 0.000 0.993 0.00 1.00
#> D73_3 2 0.000 0.993 0.00 1.00
#> D73_9 1 0.000 0.989 1.00 0.00
#> D73_10 2 0.000 0.993 0.00 1.00
#> D73_12 1 0.000 0.989 1.00 0.00
#> D73_14 2 0.000 0.993 0.00 1.00
#> D73_17 2 0.000 0.993 0.00 1.00
#> D73_21 1 0.000 0.989 1.00 0.00
#> D73_28 1 0.000 0.989 1.00 0.00
#> D73_31 2 0.000 0.993 0.00 1.00
#> D73_32 2 0.000 0.993 0.00 1.00
#> D73_33 2 0.000 0.993 0.00 1.00
#> D73_41 2 0.000 0.993 0.00 1.00
#> D73_55 1 0.000 0.989 1.00 0.00
#> D73_58 2 0.000 0.993 0.00 1.00
#> D73_61 1 0.000 0.989 1.00 0.00
#> D73_67 1 0.000 0.989 1.00 0.00
#> D73_76 1 0.000 0.989 1.00 0.00
#> D73_79 2 0.000 0.993 0.00 1.00
#> D73_87 1 0.000 0.989 1.00 0.00
#> D10631_61 2 0.000 0.993 0.00 1.00
#> D101_10 2 0.000 0.993 0.00 1.00
#> D101_13 1 0.000 0.989 1.00 0.00
#> D101_14 1 0.000 0.989 1.00 0.00
#> D101_22 1 0.000 0.989 1.00 0.00
#> D101_35 1 0.000 0.989 1.00 0.00
#> D101_81 2 0.000 0.993 0.00 1.00
#> D101_84 2 0.000 0.993 0.00 1.00
#> D101_93 1 0.943 0.444 0.64 0.36
#> D102_4 1 0.855 0.617 0.72 0.28
#> D102_11 1 0.000 0.989 1.00 0.00
#> D102_17 1 0.000 0.989 1.00 0.00
#> D102_18 1 0.000 0.989 1.00 0.00
#> D102_24 1 0.000 0.989 1.00 0.00
#> D102_39 1 0.000 0.989 1.00 0.00
#> D102_50 1 0.000 0.989 1.00 0.00
#> D102_59 1 0.000 0.989 1.00 0.00
#> D102_93 2 0.000 0.993 0.00 1.00
#> D1713_11 1 0.000 0.989 1.00 0.00
#> D1713_19 1 0.000 0.989 1.00 0.00
#> D1713_21 2 0.000 0.993 0.00 1.00
#> D1713_26 1 0.000 0.989 1.00 0.00
#> D172444_1 1 0.000 0.989 1.00 0.00
#> D172444_8 2 0.000 0.993 0.00 1.00
#> D172444_9 2 0.000 0.993 0.00 1.00
#> D172444_13 2 0.000 0.993 0.00 1.00
#> D172444_18 2 0.000 0.993 0.00 1.00
#> D172444_21 1 0.000 0.989 1.00 0.00
#> D172444_29 2 0.000 0.993 0.00 1.00
#> D172444_32 2 0.000 0.993 0.00 1.00
#> D172444_36 2 0.000 0.993 0.00 1.00
#> D172444_37 2 0.000 0.993 0.00 1.00
#> D172444_38 2 0.000 0.993 0.00 1.00
#> D172444_42 2 0.000 0.993 0.00 1.00
#> D172444_43 2 0.000 0.993 0.00 1.00
#> D172444_47 1 0.000 0.989 1.00 0.00
#> D172444_48 1 0.000 0.989 1.00 0.00
#> D172444_51 1 0.000 0.989 1.00 0.00
#> D172444_54 2 0.000 0.993 0.00 1.00
#> D172444_55 1 0.000 0.989 1.00 0.00
#> D172444_56 2 0.000 0.993 0.00 1.00
#> D172444_57 2 0.000 0.993 0.00 1.00
#> D172444_60 2 0.000 0.993 0.00 1.00
#> D172444_62 1 0.000 0.989 1.00 0.00
#> D172444_66 2 0.000 0.993 0.00 1.00
#> D172444_67 1 0.000 0.989 1.00 0.00
#> D172444_71 2 0.000 0.993 0.00 1.00
#> D172444_72 2 0.000 0.993 0.00 1.00
#> D172444_73 2 0.000 0.993 0.00 1.00
#> D172444_76 1 0.000 0.989 1.00 0.00
#> D172444_77 2 0.000 0.993 0.00 1.00
#> D172444_79 2 0.000 0.993 0.00 1.00
#> D172444_81 2 0.000 0.993 0.00 1.00
#> D172444_83 2 0.000 0.993 0.00 1.00
#> D172444_85 2 0.000 0.993 0.00 1.00
#> D172444_87 2 0.000 0.993 0.00 1.00
#> D172444_91 2 0.000 0.993 0.00 1.00
#> D172444_93 2 0.000 0.993 0.00 1.00
#> D17All1_6 1 0.000 0.989 1.00 0.00
#> D17All1_10 2 0.000 0.993 0.00 1.00
#> D17All1_18 1 0.327 0.930 0.94 0.06
#> D17All1_22 1 0.000 0.989 1.00 0.00
#> D17All1_27 2 0.000 0.993 0.00 1.00
#> D17All1_28 1 0.529 0.862 0.88 0.12
#> D17All1_30 2 0.000 0.993 0.00 1.00
#> D17All1_38 1 0.000 0.989 1.00 0.00
#> D17All1_46 2 0.000 0.993 0.00 1.00
#> D17All1_49 2 0.000 0.993 0.00 1.00
#> D17All1_51 1 0.000 0.989 1.00 0.00
#> D17All1_59 1 0.000 0.989 1.00 0.00
#> D17All1_62 2 0.000 0.993 0.00 1.00
#> D17All1_64 2 0.000 0.993 0.00 1.00
#> D17All2_1 2 0.000 0.993 0.00 1.00
#> D17All2_2 1 0.000 0.989 1.00 0.00
#> D17All2_7 1 0.000 0.989 1.00 0.00
#> D17All2_10 1 0.000 0.989 1.00 0.00
#> D17All2_11 2 0.000 0.993 0.00 1.00
#> D17All2_12 1 0.000 0.989 1.00 0.00
#> D17All2_16 2 0.000 0.993 0.00 1.00
#> D17All2_19 1 0.000 0.989 1.00 0.00
#> D17All2_20 1 0.000 0.989 1.00 0.00
#> D17All2_24 2 0.000 0.993 0.00 1.00
#> D17All2_26 1 0.000 0.989 1.00 0.00
#> D17All2_27 2 0.000 0.993 0.00 1.00
#> D17All2_28 1 0.000 0.989 1.00 0.00
#> D17All2_36 1 0.000 0.989 1.00 0.00
#> D17All2_37 2 0.000 0.993 0.00 1.00
#> D17All2_38 2 0.000 0.993 0.00 1.00
#> D17All2_40 2 0.000 0.993 0.00 1.00
#> D17All2_44 2 0.000 0.993 0.00 1.00
#> D17All2_45 2 0.000 0.993 0.00 1.00
#> D17All2_63 2 0.760 0.712 0.22 0.78
#> D17All2_74 2 0.000 0.993 0.00 1.00
#> D17All2_84 2 0.000 0.993 0.00 1.00
#> D17All2_88 2 0.000 0.993 0.00 1.00
#> D17All2_90 1 0.000 0.989 1.00 0.00
#> D17All2_95 1 0.000 0.989 1.00 0.00
#> D17TGFB_1 2 0.000 0.993 0.00 1.00
#> D17TGFB_11 2 0.000 0.993 0.00 1.00
#> D17TGFB_13 2 0.000 0.993 0.00 1.00
#> D17TGFB_15 1 0.680 0.782 0.82 0.18
#> D17TGFB_35 2 0.000 0.993 0.00 1.00
#> D17TGFB_53 2 0.000 0.993 0.00 1.00
#> D17TGFB_63 2 0.000 0.993 0.00 1.00
#> D17TGFB_65 2 0.000 0.993 0.00 1.00
#> D17TGFB_70 2 0.000 0.993 0.00 1.00
#> D17TGFB_73 2 0.000 0.993 0.00 1.00
#> D17TGFB_75 2 0.000 0.993 0.00 1.00
#> D17TGFB_90 2 0.000 0.993 0.00 1.00
#> D17TGFB_94 2 0.000 0.993 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D3en1_69 1 0.2066 0.9318 0.94 0.00 0.06
#> D3en3_51 3 0.6176 0.7897 0.12 0.10 0.78
#> D3en4_47 3 0.4796 0.9053 0.00 0.22 0.78
#> D3en4_56 1 0.4796 0.8235 0.78 0.00 0.22
#> D3en4_71 2 0.4796 0.7334 0.00 0.78 0.22
#> D74_3 1 0.2959 0.9102 0.90 0.00 0.10
#> D74_8 2 0.0000 0.8937 0.00 1.00 0.00
#> D74_9 1 0.4796 0.8235 0.78 0.00 0.22
#> D74_16 1 0.0000 0.9605 1.00 0.00 0.00
#> D74_20 1 0.2959 0.9102 0.90 0.00 0.10
#> D74_25 1 0.0000 0.9605 1.00 0.00 0.00
#> D74_29 2 0.0000 0.8937 0.00 1.00 0.00
#> D74_32 3 0.4796 0.9053 0.00 0.22 0.78
#> D74_33 1 0.4796 0.8235 0.78 0.00 0.22
#> D74_35 1 0.4796 0.8235 0.78 0.00 0.22
#> D74_36 1 0.0000 0.9605 1.00 0.00 0.00
#> D74_51 1 0.0000 0.9605 1.00 0.00 0.00
#> D74_56 3 0.4796 0.9053 0.00 0.22 0.78
#> D74_57 2 0.6192 -0.1096 0.00 0.58 0.42
#> D74_61 1 0.0000 0.9605 1.00 0.00 0.00
#> D74_65 1 0.0000 0.9605 1.00 0.00 0.00
#> D74_66 1 0.3686 0.8852 0.86 0.00 0.14
#> D74_67 2 0.0000 0.8937 0.00 1.00 0.00
#> D74_70 3 0.4796 0.9053 0.00 0.22 0.78
#> D74_83 1 0.0000 0.9605 1.00 0.00 0.00
#> D74_92 1 0.2537 0.9213 0.92 0.00 0.08
#> D74_95 2 0.1529 0.8657 0.00 0.96 0.04
#> D71_3 3 0.4796 0.9053 0.00 0.22 0.78
#> D71_4 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_9 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_15 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_19 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_20 3 0.4796 0.9053 0.00 0.22 0.78
#> D71_21 1 0.4796 0.8235 0.78 0.00 0.22
#> D71_29 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_30 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_35 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_37 2 0.4796 0.7334 0.00 0.78 0.22
#> D71_40 2 0.0000 0.8937 0.00 1.00 0.00
#> D71_42 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_48 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_57 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_62 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_76 2 0.0000 0.8937 0.00 1.00 0.00
#> D71_79 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_82 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_83 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_86 1 0.0000 0.9605 1.00 0.00 0.00
#> D71_87 2 0.7515 0.6329 0.10 0.68 0.22
#> D71_91 1 0.3340 0.8976 0.88 0.00 0.12
#> D71_94 1 0.0000 0.9605 1.00 0.00 0.00
#> D72_67 3 0.4796 0.9053 0.00 0.22 0.78
#> D72_69 3 0.6045 0.4285 0.38 0.00 0.62
#> D72_81 1 0.0000 0.9605 1.00 0.00 0.00
#> D72_88 3 0.4796 0.9053 0.00 0.22 0.78
#> D72_91 3 0.4291 0.8465 0.00 0.18 0.82
#> D72_96 1 0.0000 0.9605 1.00 0.00 0.00
#> D73_1 3 0.4796 0.9053 0.00 0.22 0.78
#> D73_3 3 0.4796 0.9053 0.00 0.22 0.78
#> D73_9 1 0.0000 0.9605 1.00 0.00 0.00
#> D73_10 2 0.0000 0.8937 0.00 1.00 0.00
#> D73_12 1 0.0000 0.9605 1.00 0.00 0.00
#> D73_14 2 0.2066 0.8621 0.00 0.94 0.06
#> D73_17 3 0.4796 0.9053 0.00 0.22 0.78
#> D73_21 1 0.0000 0.9605 1.00 0.00 0.00
#> D73_28 1 0.0000 0.9605 1.00 0.00 0.00
#> D73_31 2 0.0000 0.8937 0.00 1.00 0.00
#> D73_32 2 0.0000 0.8937 0.00 1.00 0.00
#> D73_33 2 0.5016 0.5428 0.00 0.76 0.24
#> D73_41 2 0.0892 0.8801 0.00 0.98 0.02
#> D73_55 1 0.0000 0.9605 1.00 0.00 0.00
#> D73_58 2 0.3340 0.8195 0.00 0.88 0.12
#> D73_61 1 0.0000 0.9605 1.00 0.00 0.00
#> D73_67 1 0.0000 0.9605 1.00 0.00 0.00
#> D73_76 1 0.7844 0.6785 0.66 0.12 0.22
#> D73_79 2 0.0000 0.8937 0.00 1.00 0.00
#> D73_87 1 0.0000 0.9605 1.00 0.00 0.00
#> D10631_61 2 0.1529 0.8637 0.00 0.96 0.04
#> D101_10 3 0.4796 0.9053 0.00 0.22 0.78
#> D101_13 1 0.2959 0.9106 0.90 0.00 0.10
#> D101_14 1 0.0000 0.9605 1.00 0.00 0.00
#> D101_22 1 0.4796 0.8235 0.78 0.00 0.22
#> D101_35 1 0.1529 0.9416 0.96 0.00 0.04
#> D101_81 2 0.2537 0.8495 0.00 0.92 0.08
#> D101_84 2 0.0000 0.8937 0.00 1.00 0.00
#> D101_93 3 0.2947 0.6404 0.06 0.02 0.92
#> D102_4 2 0.6722 0.6792 0.06 0.72 0.22
#> D102_11 1 0.2537 0.9213 0.92 0.00 0.08
#> D102_17 1 0.4796 0.8235 0.78 0.00 0.22
#> D102_18 1 0.4796 0.8235 0.78 0.00 0.22
#> D102_24 1 0.0000 0.9605 1.00 0.00 0.00
#> D102_39 1 0.4291 0.8562 0.82 0.00 0.18
#> D102_50 1 0.0000 0.9605 1.00 0.00 0.00
#> D102_59 1 0.4291 0.8558 0.82 0.00 0.18
#> D102_93 2 0.0000 0.8937 0.00 1.00 0.00
#> D1713_11 1 0.0000 0.9605 1.00 0.00 0.00
#> D1713_19 1 0.0000 0.9605 1.00 0.00 0.00
#> D1713_21 2 0.0000 0.8937 0.00 1.00 0.00
#> D1713_26 1 0.0000 0.9605 1.00 0.00 0.00
#> D172444_1 1 0.0000 0.9605 1.00 0.00 0.00
#> D172444_8 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_9 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_13 2 0.0892 0.8801 0.00 0.98 0.02
#> D172444_18 2 0.4796 0.7334 0.00 0.78 0.22
#> D172444_21 1 0.0000 0.9605 1.00 0.00 0.00
#> D172444_29 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_32 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_36 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_37 2 0.0000 0.8937 0.00 1.00 0.00
#> D172444_38 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_42 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_43 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_47 1 0.0000 0.9605 1.00 0.00 0.00
#> D172444_48 1 0.0000 0.9605 1.00 0.00 0.00
#> D172444_51 1 0.0000 0.9605 1.00 0.00 0.00
#> D172444_54 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_55 1 0.0000 0.9605 1.00 0.00 0.00
#> D172444_56 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_57 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_60 2 0.0000 0.8937 0.00 1.00 0.00
#> D172444_62 3 0.5016 0.6654 0.24 0.00 0.76
#> D172444_66 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_67 1 0.0000 0.9605 1.00 0.00 0.00
#> D172444_71 3 0.5948 0.7195 0.00 0.36 0.64
#> D172444_72 3 0.5835 0.7524 0.00 0.34 0.66
#> D172444_73 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_76 3 0.4796 0.6855 0.22 0.00 0.78
#> D172444_77 2 0.3340 0.7749 0.00 0.88 0.12
#> D172444_79 3 0.6302 0.4381 0.00 0.48 0.52
#> D172444_81 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_83 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_85 2 0.4291 0.6796 0.00 0.82 0.18
#> D172444_87 3 0.5016 0.8849 0.00 0.24 0.76
#> D172444_91 3 0.4796 0.9053 0.00 0.22 0.78
#> D172444_93 3 0.4796 0.9053 0.00 0.22 0.78
#> D17All1_6 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All1_10 2 0.0000 0.8937 0.00 1.00 0.00
#> D17All1_18 3 0.5406 0.7076 0.20 0.02 0.78
#> D17All1_22 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All1_27 3 0.4796 0.9053 0.00 0.22 0.78
#> D17All1_28 3 0.5406 0.7076 0.20 0.02 0.78
#> D17All1_30 2 0.0000 0.8937 0.00 1.00 0.00
#> D17All1_38 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All1_46 2 0.0000 0.8937 0.00 1.00 0.00
#> D17All1_49 2 0.0000 0.8937 0.00 1.00 0.00
#> D17All1_51 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All1_59 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All1_62 2 0.1529 0.8735 0.00 0.96 0.04
#> D17All1_64 2 0.0000 0.8937 0.00 1.00 0.00
#> D17All2_1 2 0.0000 0.8937 0.00 1.00 0.00
#> D17All2_2 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All2_7 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All2_10 1 0.2959 0.9102 0.90 0.00 0.10
#> D17All2_11 2 0.0000 0.8937 0.00 1.00 0.00
#> D17All2_12 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All2_16 2 0.3686 0.7464 0.00 0.86 0.14
#> D17All2_19 1 0.4002 0.8705 0.84 0.00 0.16
#> D17All2_20 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All2_24 2 0.0000 0.8937 0.00 1.00 0.00
#> D17All2_26 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All2_27 2 0.2066 0.8449 0.00 0.94 0.06
#> D17All2_28 3 0.4002 0.6577 0.16 0.00 0.84
#> D17All2_36 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All2_37 2 0.0000 0.8937 0.00 1.00 0.00
#> D17All2_38 2 0.4796 0.7334 0.00 0.78 0.22
#> D17All2_40 3 0.4796 0.9053 0.00 0.22 0.78
#> D17All2_44 3 0.4796 0.9053 0.00 0.22 0.78
#> D17All2_45 3 0.4796 0.9053 0.00 0.22 0.78
#> D17All2_63 2 0.4796 0.7334 0.00 0.78 0.22
#> D17All2_74 2 0.4796 0.6019 0.00 0.78 0.22
#> D17All2_84 2 0.3686 0.7451 0.00 0.86 0.14
#> D17All2_88 2 0.6192 -0.0994 0.00 0.58 0.42
#> D17All2_90 1 0.0000 0.9605 1.00 0.00 0.00
#> D17All2_95 1 0.0000 0.9605 1.00 0.00 0.00
#> D17TGFB_1 2 0.0000 0.8937 0.00 1.00 0.00
#> D17TGFB_11 2 0.0000 0.8937 0.00 1.00 0.00
#> D17TGFB_13 2 0.0000 0.8937 0.00 1.00 0.00
#> D17TGFB_15 3 0.0892 0.6870 0.02 0.00 0.98
#> D17TGFB_35 2 0.2537 0.8495 0.00 0.92 0.08
#> D17TGFB_53 2 0.2537 0.8495 0.00 0.92 0.08
#> D17TGFB_63 3 0.6280 0.5087 0.00 0.46 0.54
#> D17TGFB_65 2 0.0000 0.8937 0.00 1.00 0.00
#> D17TGFB_70 2 0.0000 0.8937 0.00 1.00 0.00
#> D17TGFB_73 2 0.0000 0.8937 0.00 1.00 0.00
#> D17TGFB_75 2 0.0000 0.8937 0.00 1.00 0.00
#> D17TGFB_90 2 0.3686 0.8033 0.00 0.86 0.14
#> D17TGFB_94 2 0.4796 0.7334 0.00 0.78 0.22
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D3en1_69 1 0.4713 0.388 0.64 0.00 0.00 0.36
#> D3en3_51 3 0.1411 0.891 0.02 0.00 0.96 0.02
#> D3en4_47 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D3en4_56 4 0.0707 0.827 0.02 0.00 0.00 0.98
#> D3en4_71 4 0.3610 0.699 0.00 0.20 0.00 0.80
#> D74_3 4 0.4948 0.275 0.44 0.00 0.00 0.56
#> D74_8 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D74_9 4 0.0000 0.823 0.00 0.00 0.00 1.00
#> D74_16 1 0.0707 0.951 0.98 0.00 0.00 0.02
#> D74_20 4 0.3975 0.662 0.24 0.00 0.00 0.76
#> D74_25 1 0.1211 0.941 0.96 0.00 0.00 0.04
#> D74_29 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D74_32 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D74_33 4 0.0707 0.826 0.00 0.02 0.00 0.98
#> D74_35 4 0.0707 0.827 0.02 0.00 0.00 0.98
#> D74_36 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D74_51 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D74_56 3 0.0707 0.903 0.00 0.02 0.98 0.00
#> D74_57 2 0.2345 0.880 0.00 0.90 0.10 0.00
#> D74_61 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D74_65 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D74_66 4 0.3975 0.661 0.24 0.00 0.00 0.76
#> D74_67 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D74_70 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D74_83 1 0.2011 0.893 0.92 0.00 0.00 0.08
#> D74_92 4 0.4790 0.436 0.38 0.00 0.00 0.62
#> D74_95 2 0.1211 0.933 0.00 0.96 0.04 0.00
#> D71_3 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D71_4 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D71_9 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D71_15 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D71_19 1 0.0707 0.952 0.98 0.00 0.00 0.02
#> D71_20 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D71_21 4 0.0707 0.827 0.02 0.00 0.00 0.98
#> D71_29 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D71_30 1 0.0707 0.952 0.98 0.00 0.00 0.02
#> D71_35 1 0.0707 0.952 0.98 0.00 0.00 0.02
#> D71_37 4 0.4277 0.592 0.00 0.28 0.00 0.72
#> D71_40 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D71_42 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D71_48 1 0.0707 0.951 0.98 0.00 0.00 0.02
#> D71_57 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D71_62 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D71_76 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D71_79 1 0.0707 0.952 0.98 0.00 0.00 0.02
#> D71_82 1 0.0707 0.951 0.98 0.00 0.00 0.02
#> D71_83 1 0.0707 0.952 0.98 0.00 0.00 0.02
#> D71_86 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D71_87 4 0.0707 0.826 0.00 0.02 0.00 0.98
#> D71_91 4 0.2345 0.792 0.10 0.00 0.00 0.90
#> D71_94 1 0.0707 0.952 0.98 0.00 0.00 0.02
#> D72_67 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D72_69 3 0.5487 0.322 0.40 0.00 0.58 0.02
#> D72_81 1 0.0707 0.952 0.98 0.00 0.00 0.02
#> D72_88 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D72_91 3 0.1913 0.878 0.00 0.02 0.94 0.04
#> D72_96 1 0.0707 0.952 0.98 0.00 0.00 0.02
#> D73_1 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D73_3 3 0.3172 0.759 0.00 0.16 0.84 0.00
#> D73_9 1 0.0707 0.951 0.98 0.00 0.00 0.02
#> D73_10 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D73_12 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D73_14 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D73_17 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D73_21 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D73_28 1 0.1637 0.912 0.94 0.00 0.00 0.06
#> D73_31 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D73_32 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D73_33 2 0.4994 0.113 0.00 0.52 0.48 0.00
#> D73_41 2 0.0707 0.935 0.00 0.98 0.02 0.00
#> D73_55 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D73_58 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D73_61 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D73_67 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D73_76 4 0.0707 0.826 0.00 0.02 0.00 0.98
#> D73_79 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D73_87 1 0.0707 0.951 0.98 0.00 0.00 0.02
#> D10631_61 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D101_10 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D101_13 1 0.4994 -0.041 0.52 0.00 0.00 0.48
#> D101_14 1 0.3801 0.720 0.78 0.00 0.00 0.22
#> D101_22 4 0.0707 0.826 0.00 0.02 0.00 0.98
#> D101_35 1 0.3610 0.735 0.80 0.00 0.00 0.20
#> D101_81 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D101_84 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D101_93 3 0.5594 0.183 0.02 0.00 0.52 0.46
#> D102_4 4 0.0707 0.826 0.00 0.02 0.00 0.98
#> D102_11 4 0.5000 0.067 0.50 0.00 0.00 0.50
#> D102_17 4 0.0000 0.823 0.00 0.00 0.00 1.00
#> D102_18 4 0.0707 0.827 0.02 0.00 0.00 0.98
#> D102_24 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D102_39 4 0.2345 0.794 0.10 0.00 0.00 0.90
#> D102_50 1 0.2647 0.862 0.88 0.00 0.00 0.12
#> D102_59 4 0.1211 0.823 0.04 0.00 0.00 0.96
#> D102_93 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D1713_11 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D1713_19 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D1713_21 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D1713_26 1 0.3610 0.749 0.80 0.00 0.00 0.20
#> D172444_1 1 0.0707 0.952 0.98 0.00 0.00 0.02
#> D172444_8 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_9 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_13 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D172444_18 4 0.0707 0.826 0.00 0.02 0.00 0.98
#> D172444_21 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D172444_29 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_32 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_36 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_37 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D172444_38 3 0.4790 0.341 0.00 0.38 0.62 0.00
#> D172444_42 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_43 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_47 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D172444_48 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D172444_51 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D172444_54 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_55 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D172444_56 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_57 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_60 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D172444_62 3 0.4472 0.649 0.22 0.00 0.76 0.02
#> D172444_66 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_67 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D172444_71 2 0.4277 0.641 0.00 0.72 0.28 0.00
#> D172444_72 2 0.4624 0.526 0.00 0.66 0.34 0.00
#> D172444_73 3 0.2011 0.848 0.00 0.08 0.92 0.00
#> D172444_76 3 0.3335 0.783 0.12 0.00 0.86 0.02
#> D172444_77 2 0.1211 0.933 0.00 0.96 0.04 0.00
#> D172444_79 2 0.2647 0.858 0.00 0.88 0.12 0.00
#> D172444_81 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_83 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_85 2 0.1637 0.917 0.00 0.94 0.06 0.00
#> D172444_87 3 0.4948 0.152 0.00 0.44 0.56 0.00
#> D172444_91 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D172444_93 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D17All1_6 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All1_10 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17All1_18 3 0.0707 0.903 0.00 0.00 0.98 0.02
#> D17All1_22 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All1_27 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D17All1_28 3 0.0707 0.903 0.00 0.00 0.98 0.02
#> D17All1_30 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17All1_38 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All1_46 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17All1_49 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17All1_51 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All1_59 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All1_62 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17All1_64 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D17All2_1 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D17All2_2 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All2_7 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All2_10 4 0.4977 0.229 0.46 0.00 0.00 0.54
#> D17All2_11 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17All2_12 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All2_16 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D17All2_19 4 0.0000 0.823 0.00 0.00 0.00 1.00
#> D17All2_20 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All2_24 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D17All2_26 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All2_27 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D17All2_28 3 0.5962 0.549 0.08 0.00 0.66 0.26
#> D17All2_36 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All2_37 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17All2_38 4 0.4790 0.393 0.00 0.38 0.00 0.62
#> D17All2_40 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D17All2_44 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D17All2_45 3 0.0000 0.918 0.00 0.00 1.00 0.00
#> D17All2_63 4 0.1637 0.810 0.00 0.06 0.00 0.94
#> D17All2_74 2 0.1211 0.933 0.00 0.96 0.04 0.00
#> D17All2_84 2 0.1211 0.933 0.00 0.96 0.04 0.00
#> D17All2_88 2 0.5062 0.552 0.00 0.68 0.30 0.02
#> D17All2_90 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17All2_95 1 0.0000 0.963 1.00 0.00 0.00 0.00
#> D17TGFB_1 2 0.0707 0.945 0.00 0.98 0.02 0.00
#> D17TGFB_11 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17TGFB_13 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17TGFB_15 3 0.3801 0.713 0.00 0.00 0.78 0.22
#> D17TGFB_35 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17TGFB_53 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17TGFB_63 2 0.4713 0.477 0.00 0.64 0.36 0.00
#> D17TGFB_65 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17TGFB_70 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17TGFB_73 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17TGFB_75 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17TGFB_90 2 0.0000 0.944 0.00 1.00 0.00 0.00
#> D17TGFB_94 4 0.4406 0.558 0.00 0.30 0.00 0.70
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 185 6.93e-04 2
#> ATC:skmeans 183 1.26e-03 3
#> ATC:skmeans 174 2.63e-05 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node021. Child nodes: Node01121-leaf , Node01122-leaf , Node01321-leaf , Node01322-leaf , Node02111-leaf , Node02112-leaf , Node02121-leaf , Node02122-leaf , Node02123-leaf , Node02211-leaf , Node02212-leaf , Node02213-leaf , Node02221-leaf , Node02222-leaf , Node02321-leaf , Node02322-leaf , Node02331-leaf , Node02332-leaf , Node02333-leaf .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["0212"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 8604 rows and 143 columns.
#> Top rows (860) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.942 0.956 0.981 0.503 0.497 0.497
#> 3 3 1.000 0.985 0.992 0.307 0.781 0.586
#> 4 4 0.925 0.899 0.938 0.114 0.905 0.729
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 2 3
There is also optional best \(k\) = 2 3 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_43 1 0.000 0.980 1.00 0.00
#> D2ex_78 1 0.000 0.980 1.00 0.00
#> D3en1_63 1 0.000 0.980 1.00 0.00
#> D3en4_91 2 0.584 0.839 0.14 0.86
#> D74_1 1 0.000 0.980 1.00 0.00
#> D74_2 1 0.000 0.980 1.00 0.00
#> D74_5 1 0.000 0.980 1.00 0.00
#> D74_10 1 0.000 0.980 1.00 0.00
#> D74_40 1 0.000 0.980 1.00 0.00
#> D74_41 2 0.000 0.980 0.00 1.00
#> D74_42 2 0.529 0.864 0.12 0.88
#> D74_49 1 0.000 0.980 1.00 0.00
#> D74_52 2 0.000 0.980 0.00 1.00
#> D74_53 1 0.000 0.980 1.00 0.00
#> D74_55 2 0.000 0.980 0.00 1.00
#> D74_68 2 0.000 0.980 0.00 1.00
#> D74_75 2 0.000 0.980 0.00 1.00
#> D74_77 1 0.000 0.980 1.00 0.00
#> D74_82 1 0.000 0.980 1.00 0.00
#> D74_85 2 0.000 0.980 0.00 1.00
#> D74_86 1 0.000 0.980 1.00 0.00
#> D74_87 2 0.000 0.980 0.00 1.00
#> D74_88 2 0.000 0.980 0.00 1.00
#> D71_43 2 0.000 0.980 0.00 1.00
#> D71_54 1 0.000 0.980 1.00 0.00
#> D71_55 1 0.000 0.980 1.00 0.00
#> D71_61 1 0.000 0.980 1.00 0.00
#> D73_4 2 0.529 0.867 0.12 0.88
#> D73_6 2 0.000 0.980 0.00 1.00
#> D73_22 1 0.000 0.980 1.00 0.00
#> D73_42 2 0.141 0.966 0.02 0.98
#> D73_59 2 0.000 0.980 0.00 1.00
#> D73_62 1 0.000 0.980 1.00 0.00
#> D73_69 2 0.000 0.980 0.00 1.00
#> D73_72 1 0.000 0.980 1.00 0.00
#> D73_81 2 0.000 0.980 0.00 1.00
#> D73_82 1 0.000 0.980 1.00 0.00
#> D73_85 1 0.000 0.980 1.00 0.00
#> D73_86 1 0.000 0.980 1.00 0.00
#> D73_91 1 0.000 0.980 1.00 0.00
#> D73_92 1 0.000 0.980 1.00 0.00
#> D101_25 1 0.855 0.612 0.72 0.28
#> D101_31 1 0.000 0.980 1.00 0.00
#> D101_43 2 0.000 0.980 0.00 1.00
#> D101_95 2 0.000 0.980 0.00 1.00
#> D102_7 1 0.000 0.980 1.00 0.00
#> D102_25 1 0.000 0.980 1.00 0.00
#> D102_45 1 0.000 0.980 1.00 0.00
#> D102_55 1 0.000 0.980 1.00 0.00
#> D102_58 1 0.000 0.980 1.00 0.00
#> D102_61 1 0.000 0.980 1.00 0.00
#> D102_63 1 0.000 0.980 1.00 0.00
#> D102_66 2 0.242 0.948 0.04 0.96
#> D102_96 1 0.000 0.980 1.00 0.00
#> D1713_9 2 0.000 0.980 0.00 1.00
#> D1713_90 2 0.000 0.980 0.00 1.00
#> D1713_95 1 0.000 0.980 1.00 0.00
#> D172444_49 2 0.000 0.980 0.00 1.00
#> D172444_65 1 0.000 0.980 1.00 0.00
#> D172444_78 2 0.000 0.980 0.00 1.00
#> D172444_86 1 0.000 0.980 1.00 0.00
#> D17All1_1 2 0.000 0.980 0.00 1.00
#> D17All1_2 2 0.000 0.980 0.00 1.00
#> D17All1_3 1 0.000 0.980 1.00 0.00
#> D17All1_4 2 0.000 0.980 0.00 1.00
#> D17All1_5 1 0.995 0.137 0.54 0.46
#> D17All1_7 1 0.000 0.980 1.00 0.00
#> D17All1_8 2 0.000 0.980 0.00 1.00
#> D17All1_12 1 0.000 0.980 1.00 0.00
#> D17All1_19 1 0.000 0.980 1.00 0.00
#> D17All1_23 1 0.000 0.980 1.00 0.00
#> D17All1_33 1 0.000 0.980 1.00 0.00
#> D17All1_35 1 0.000 0.980 1.00 0.00
#> D17All1_37 2 0.141 0.966 0.02 0.98
#> D17All1_39 2 0.000 0.980 0.00 1.00
#> D17All1_40 1 0.000 0.980 1.00 0.00
#> D17All1_42 2 0.000 0.980 0.00 1.00
#> D17All1_43 2 0.000 0.980 0.00 1.00
#> D17All1_54 2 0.000 0.980 0.00 1.00
#> D17All1_55 2 0.000 0.980 0.00 1.00
#> D17All1_57 2 0.000 0.980 0.00 1.00
#> D17All1_60 1 0.000 0.980 1.00 0.00
#> D17All1_61 2 0.000 0.980 0.00 1.00
#> D17All1_63 1 0.000 0.980 1.00 0.00
#> D17All1_66 2 0.529 0.867 0.12 0.88
#> D17All1_70 1 0.000 0.980 1.00 0.00
#> D17All1_71 1 0.000 0.980 1.00 0.00
#> D17All1_73 2 0.000 0.980 0.00 1.00
#> D17All1_74 2 0.000 0.980 0.00 1.00
#> D17All1_75 2 0.000 0.980 0.00 1.00
#> D17All1_77 2 0.000 0.980 0.00 1.00
#> D17All1_80 2 0.000 0.980 0.00 1.00
#> D17All1_81 1 0.000 0.980 1.00 0.00
#> D17All1_82 2 0.141 0.966 0.02 0.98
#> D17All1_83 1 0.760 0.711 0.78 0.22
#> D17All1_87 2 0.000 0.980 0.00 1.00
#> D17All1_88 2 0.000 0.980 0.00 1.00
#> D17All1_89 2 0.000 0.980 0.00 1.00
#> D17All1_90 1 0.000 0.980 1.00 0.00
#> D17All1_91 2 0.680 0.790 0.18 0.82
#> D17All1_93 2 0.000 0.980 0.00 1.00
#> D17All1_95 1 0.000 0.980 1.00 0.00
#> D17All2_6 2 0.000 0.980 0.00 1.00
#> D17All2_9 2 0.000 0.980 0.00 1.00
#> D17All2_13 1 0.000 0.980 1.00 0.00
#> D17All2_14 2 0.000 0.980 0.00 1.00
#> D17All2_15 2 0.000 0.980 0.00 1.00
#> D17All2_17 2 0.000 0.980 0.00 1.00
#> D17All2_21 1 0.943 0.434 0.64 0.36
#> D17All2_22 1 0.000 0.980 1.00 0.00
#> D17All2_30 1 0.000 0.980 1.00 0.00
#> D17All2_34 1 0.000 0.980 1.00 0.00
#> D17All2_39 2 0.000 0.980 0.00 1.00
#> D17All2_41 1 0.000 0.980 1.00 0.00
#> D17All2_43 2 0.000 0.980 0.00 1.00
#> D17All2_46 2 0.760 0.725 0.22 0.78
#> D17All2_47 2 0.000 0.980 0.00 1.00
#> D17All2_49 2 0.000 0.980 0.00 1.00
#> D17All2_52 2 0.000 0.980 0.00 1.00
#> D17All2_55 1 0.000 0.980 1.00 0.00
#> D17All2_56 2 0.634 0.818 0.16 0.84
#> D17All2_57 1 0.000 0.980 1.00 0.00
#> D17All2_61 1 0.000 0.980 1.00 0.00
#> D17All2_62 2 0.000 0.980 0.00 1.00
#> D17All2_64 2 0.722 0.761 0.20 0.80
#> D17All2_65 1 0.000 0.980 1.00 0.00
#> D17All2_68 1 0.000 0.980 1.00 0.00
#> D17All2_69 1 0.000 0.980 1.00 0.00
#> D17All2_78 1 0.000 0.980 1.00 0.00
#> D17All2_85 2 0.141 0.965 0.02 0.98
#> D17All2_87 1 0.000 0.980 1.00 0.00
#> D17All2_92 2 0.000 0.980 0.00 1.00
#> D17All2_94 1 0.000 0.980 1.00 0.00
#> D17TGFB_2 2 0.000 0.980 0.00 1.00
#> D17TGFB_20 2 0.000 0.980 0.00 1.00
#> D17TGFB_48 2 0.000 0.980 0.00 1.00
#> D17TGFB_52 2 0.000 0.980 0.00 1.00
#> D17TGFB_68 2 0.000 0.980 0.00 1.00
#> D17TGFB_69 2 0.000 0.980 0.00 1.00
#> D17TGFB_78 2 0.000 0.980 0.00 1.00
#> D17TGFB_82 2 0.000 0.980 0.00 1.00
#> D17TGFB_91 2 0.000 0.980 0.00 1.00
#> D17TGFB_95 2 0.000 0.980 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_43 1 0.0000 0.999 1.00 0.00 0.00
#> D2ex_78 1 0.0000 0.999 1.00 0.00 0.00
#> D3en1_63 1 0.0000 0.999 1.00 0.00 0.00
#> D3en4_91 2 0.0000 0.990 0.00 1.00 0.00
#> D74_1 1 0.0000 0.999 1.00 0.00 0.00
#> D74_2 1 0.0000 0.999 1.00 0.00 0.00
#> D74_5 1 0.0000 0.999 1.00 0.00 0.00
#> D74_10 1 0.0000 0.999 1.00 0.00 0.00
#> D74_40 1 0.0000 0.999 1.00 0.00 0.00
#> D74_41 2 0.0000 0.990 0.00 1.00 0.00
#> D74_42 2 0.0000 0.990 0.00 1.00 0.00
#> D74_49 1 0.0000 0.999 1.00 0.00 0.00
#> D74_52 2 0.0000 0.990 0.00 1.00 0.00
#> D74_53 1 0.0000 0.999 1.00 0.00 0.00
#> D74_55 2 0.0000 0.990 0.00 1.00 0.00
#> D74_68 2 0.0000 0.990 0.00 1.00 0.00
#> D74_75 2 0.2959 0.898 0.00 0.90 0.10
#> D74_77 1 0.1529 0.957 0.96 0.00 0.04
#> D74_82 1 0.0000 0.999 1.00 0.00 0.00
#> D74_85 2 0.0000 0.990 0.00 1.00 0.00
#> D74_86 3 0.0892 0.969 0.02 0.00 0.98
#> D74_87 2 0.1529 0.957 0.00 0.96 0.04
#> D74_88 2 0.0000 0.990 0.00 1.00 0.00
#> D71_43 2 0.0000 0.990 0.00 1.00 0.00
#> D71_54 1 0.0000 0.999 1.00 0.00 0.00
#> D71_55 1 0.0000 0.999 1.00 0.00 0.00
#> D71_61 1 0.0000 0.999 1.00 0.00 0.00
#> D73_4 3 0.0000 0.984 0.00 0.00 1.00
#> D73_6 2 0.0000 0.990 0.00 1.00 0.00
#> D73_22 1 0.0000 0.999 1.00 0.00 0.00
#> D73_42 3 0.0000 0.984 0.00 0.00 1.00
#> D73_59 2 0.0000 0.990 0.00 1.00 0.00
#> D73_62 1 0.0000 0.999 1.00 0.00 0.00
#> D73_69 2 0.0000 0.990 0.00 1.00 0.00
#> D73_72 1 0.0000 0.999 1.00 0.00 0.00
#> D73_81 2 0.0000 0.990 0.00 1.00 0.00
#> D73_82 1 0.0000 0.999 1.00 0.00 0.00
#> D73_85 1 0.0000 0.999 1.00 0.00 0.00
#> D73_86 1 0.0000 0.999 1.00 0.00 0.00
#> D73_91 1 0.0000 0.999 1.00 0.00 0.00
#> D73_92 1 0.0000 0.999 1.00 0.00 0.00
#> D101_25 2 0.1529 0.950 0.04 0.96 0.00
#> D101_31 1 0.0000 0.999 1.00 0.00 0.00
#> D101_43 2 0.0000 0.990 0.00 1.00 0.00
#> D101_95 2 0.0000 0.990 0.00 1.00 0.00
#> D102_7 1 0.0000 0.999 1.00 0.00 0.00
#> D102_25 3 0.0000 0.984 0.00 0.00 1.00
#> D102_45 1 0.0000 0.999 1.00 0.00 0.00
#> D102_55 3 0.0000 0.984 0.00 0.00 1.00
#> D102_58 1 0.0000 0.999 1.00 0.00 0.00
#> D102_61 1 0.0000 0.999 1.00 0.00 0.00
#> D102_63 1 0.0000 0.999 1.00 0.00 0.00
#> D102_66 3 0.0000 0.984 0.00 0.00 1.00
#> D102_96 3 0.0000 0.984 0.00 0.00 1.00
#> D1713_9 2 0.0000 0.990 0.00 1.00 0.00
#> D1713_90 2 0.0892 0.974 0.00 0.98 0.02
#> D1713_95 1 0.0000 0.999 1.00 0.00 0.00
#> D172444_49 2 0.0000 0.990 0.00 1.00 0.00
#> D172444_65 1 0.0000 0.999 1.00 0.00 0.00
#> D172444_78 2 0.0000 0.990 0.00 1.00 0.00
#> D172444_86 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_1 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_2 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_3 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_4 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_5 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_7 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_8 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_12 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_19 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_23 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_33 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_35 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_37 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_39 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_40 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_42 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_43 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_54 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_55 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_57 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_60 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_61 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_63 3 0.3340 0.871 0.12 0.00 0.88
#> D17All1_66 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_70 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_71 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_73 2 0.2537 0.919 0.00 0.92 0.08
#> D17All1_74 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_75 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_77 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_80 3 0.0892 0.967 0.00 0.02 0.98
#> D17All1_81 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_82 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_83 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_87 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_88 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_89 2 0.0000 0.990 0.00 1.00 0.00
#> D17All1_90 1 0.0000 0.999 1.00 0.00 0.00
#> D17All1_91 3 0.0000 0.984 0.00 0.00 1.00
#> D17All1_93 2 0.3686 0.851 0.00 0.86 0.14
#> D17All1_95 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_6 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_9 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_13 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_14 3 0.0000 0.984 0.00 0.00 1.00
#> D17All2_15 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_17 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_21 3 0.0000 0.984 0.00 0.00 1.00
#> D17All2_22 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_30 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_34 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_39 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_41 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_43 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_46 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_47 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_49 3 0.0000 0.984 0.00 0.00 1.00
#> D17All2_52 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_55 3 0.0000 0.984 0.00 0.00 1.00
#> D17All2_56 3 0.0000 0.984 0.00 0.00 1.00
#> D17All2_57 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_61 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_62 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_64 3 0.0000 0.984 0.00 0.00 1.00
#> D17All2_65 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_68 3 0.3686 0.847 0.14 0.00 0.86
#> D17All2_69 3 0.4291 0.794 0.18 0.00 0.82
#> D17All2_78 1 0.0000 0.999 1.00 0.00 0.00
#> D17All2_85 2 0.0000 0.990 0.00 1.00 0.00
#> D17All2_87 3 0.1529 0.951 0.04 0.00 0.96
#> D17All2_92 3 0.0000 0.984 0.00 0.00 1.00
#> D17All2_94 1 0.0000 0.999 1.00 0.00 0.00
#> D17TGFB_2 2 0.2959 0.898 0.00 0.90 0.10
#> D17TGFB_20 2 0.0000 0.990 0.00 1.00 0.00
#> D17TGFB_48 2 0.0000 0.990 0.00 1.00 0.00
#> D17TGFB_52 2 0.0000 0.990 0.00 1.00 0.00
#> D17TGFB_68 3 0.0000 0.984 0.00 0.00 1.00
#> D17TGFB_69 2 0.0000 0.990 0.00 1.00 0.00
#> D17TGFB_78 2 0.0000 0.990 0.00 1.00 0.00
#> D17TGFB_82 2 0.0000 0.990 0.00 1.00 0.00
#> D17TGFB_91 2 0.0000 0.990 0.00 1.00 0.00
#> D17TGFB_95 2 0.0000 0.990 0.00 1.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_43 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D2ex_78 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D3en1_63 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D3en4_91 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D74_1 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D74_2 1 0.0707 0.971 0.98 0.02 0.00 0.00
#> D74_5 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D74_10 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D74_40 1 0.2345 0.943 0.90 0.10 0.00 0.00
#> D74_41 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D74_42 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D74_49 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D74_52 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D74_53 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D74_55 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D74_68 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D74_75 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D74_77 1 0.3935 0.879 0.84 0.06 0.10 0.00
#> D74_82 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D74_85 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D74_86 3 0.2011 0.890 0.08 0.00 0.92 0.00
#> D74_87 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D74_88 2 0.4522 0.657 0.00 0.68 0.00 0.32
#> D71_43 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D71_54 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D71_55 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D71_61 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D73_4 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D73_6 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D73_22 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D73_42 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D73_59 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D73_62 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D73_69 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D73_72 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D73_81 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D73_82 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D73_85 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D73_86 1 0.2011 0.956 0.92 0.08 0.00 0.00
#> D73_91 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D73_92 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D101_25 2 0.1211 0.884 0.00 0.96 0.00 0.04
#> D101_31 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D101_43 2 0.4855 0.404 0.00 0.60 0.00 0.40
#> D101_95 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D102_7 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D102_25 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D102_45 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D102_55 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D102_58 1 0.0707 0.971 0.98 0.02 0.00 0.00
#> D102_61 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D102_63 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D102_66 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D102_96 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D1713_9 2 0.4522 0.654 0.00 0.68 0.00 0.32
#> D1713_90 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D1713_95 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D172444_49 2 0.4624 0.622 0.00 0.66 0.00 0.34
#> D172444_65 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D172444_78 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D172444_86 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All1_1 2 0.4134 0.745 0.00 0.74 0.00 0.26
#> D17All1_2 2 0.4277 0.686 0.00 0.72 0.00 0.28
#> D17All1_3 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_4 4 0.2011 0.849 0.00 0.00 0.08 0.92
#> D17All1_5 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_7 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All1_8 4 0.4994 -0.166 0.00 0.48 0.00 0.52
#> D17All1_12 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All1_19 1 0.1211 0.970 0.96 0.04 0.00 0.00
#> D17All1_23 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All1_33 1 0.3935 0.865 0.84 0.06 0.10 0.00
#> D17All1_35 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All1_37 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_39 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_40 1 0.0707 0.971 0.98 0.02 0.00 0.00
#> D17All1_42 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All1_43 4 0.4134 0.558 0.00 0.26 0.00 0.74
#> D17All1_54 3 0.3172 0.802 0.00 0.00 0.84 0.16
#> D17All1_55 4 0.4522 0.421 0.00 0.32 0.00 0.68
#> D17All1_57 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All1_60 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All1_61 3 0.5487 0.338 0.00 0.02 0.58 0.40
#> D17All1_63 3 0.2011 0.890 0.08 0.00 0.92 0.00
#> D17All1_66 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_70 1 0.2011 0.956 0.92 0.08 0.00 0.00
#> D17All1_71 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All1_73 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All1_74 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All1_75 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_77 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_80 3 0.4797 0.650 0.00 0.02 0.72 0.26
#> D17All1_81 1 0.0707 0.971 0.98 0.02 0.00 0.00
#> D17All1_82 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_83 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_87 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_88 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D17All1_89 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D17All1_90 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All1_91 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All1_93 4 0.1637 0.869 0.00 0.00 0.06 0.94
#> D17All1_95 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All2_6 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All2_9 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All2_13 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All2_14 4 0.2921 0.788 0.00 0.00 0.14 0.86
#> D17All2_15 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D17All2_17 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All2_21 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All2_22 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All2_30 1 0.1211 0.970 0.96 0.04 0.00 0.00
#> D17All2_34 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D17All2_39 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D17All2_41 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All2_43 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All2_46 2 0.0707 0.869 0.00 0.98 0.00 0.02
#> D17All2_47 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D17All2_49 3 0.4472 0.714 0.00 0.02 0.76 0.22
#> D17All2_52 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All2_55 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All2_56 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All2_57 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All2_61 2 0.4277 0.488 0.28 0.72 0.00 0.00
#> D17All2_62 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17All2_64 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17All2_65 1 0.0000 0.971 1.00 0.00 0.00 0.00
#> D17All2_68 3 0.2345 0.872 0.10 0.00 0.90 0.00
#> D17All2_69 3 0.2647 0.850 0.12 0.00 0.88 0.00
#> D17All2_78 1 0.1637 0.967 0.94 0.06 0.00 0.00
#> D17All2_85 2 0.1637 0.905 0.00 0.94 0.00 0.06
#> D17All2_87 3 0.1211 0.925 0.00 0.04 0.96 0.00
#> D17All2_92 4 0.4277 0.571 0.00 0.00 0.28 0.72
#> D17All2_94 1 0.0707 0.960 0.98 0.00 0.02 0.00
#> D17TGFB_2 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17TGFB_20 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17TGFB_48 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D17TGFB_52 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D17TGFB_68 3 0.0000 0.948 0.00 0.00 1.00 0.00
#> D17TGFB_69 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17TGFB_78 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D17TGFB_82 4 0.0000 0.924 0.00 0.00 0.00 1.00
#> D17TGFB_91 2 0.2011 0.921 0.00 0.92 0.00 0.08
#> D17TGFB_95 2 0.2011 0.921 0.00 0.92 0.00 0.08
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 141 0.0245 2
#> ATC:skmeans 143 0.0601 3
#> ATC:skmeans 138 0.0980 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node02. Child nodes: Node0111-leaf , Node0112 , Node0121-leaf , Node0122-leaf , Node0123-leaf , Node0131-leaf , Node0132 , Node0211 , Node0212 , Node0221 , Node0222 , Node0223-leaf , Node0231-leaf , Node0232 , Node0233 .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["022"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 9160 rows and 286 columns.
#> Top rows (916) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.986 0.994 0.502 0.499 0.499
#> 3 3 1.000 0.964 0.985 0.312 0.757 0.551
#> 4 4 0.869 0.863 0.937 0.129 0.861 0.624
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_4 2 0.000 0.995 0.00 1.00
#> D2ex_9 2 0.000 0.995 0.00 1.00
#> D2ex_16 2 0.000 0.995 0.00 1.00
#> D2ex_18 2 0.000 0.995 0.00 1.00
#> D2ex_29 2 0.000 0.995 0.00 1.00
#> D2ex_34 1 0.000 0.993 1.00 0.00
#> D2ex_44 2 0.000 0.995 0.00 1.00
#> D2ex_46 2 0.000 0.995 0.00 1.00
#> D2ex_51 2 0.000 0.995 0.00 1.00
#> D2ex_61 1 0.000 0.993 1.00 0.00
#> D2ex_66 1 0.000 0.993 1.00 0.00
#> D2ex_67 2 0.925 0.482 0.34 0.66
#> D2ex_68 1 0.000 0.993 1.00 0.00
#> D2ex_69 2 0.000 0.995 0.00 1.00
#> D2ex_70 2 0.000 0.995 0.00 1.00
#> D2ex_71 2 0.000 0.995 0.00 1.00
#> D2ex_76 1 0.000 0.993 1.00 0.00
#> D2ex_79 2 0.000 0.995 0.00 1.00
#> D2ex_83 1 0.469 0.889 0.90 0.10
#> D2ex_90 2 0.000 0.995 0.00 1.00
#> D2ex_92 2 0.000 0.995 0.00 1.00
#> D3en1_45 2 0.000 0.995 0.00 1.00
#> D3en1_48 1 0.000 0.993 1.00 0.00
#> D3en1_56 1 0.000 0.993 1.00 0.00
#> D3en1_60 2 0.402 0.912 0.08 0.92
#> D3en2_23 2 0.000 0.995 0.00 1.00
#> D3en2_74 2 0.000 0.995 0.00 1.00
#> D3en3_46 2 0.000 0.995 0.00 1.00
#> D3en3_72 2 0.000 0.995 0.00 1.00
#> D3en4_7 2 0.000 0.995 0.00 1.00
#> D3en4_8 2 0.000 0.995 0.00 1.00
#> D3en4_9 2 0.000 0.995 0.00 1.00
#> D3en4_14 2 0.000 0.995 0.00 1.00
#> D3en4_25 2 0.000 0.995 0.00 1.00
#> D3en4_26 2 0.000 0.995 0.00 1.00
#> D3en4_30 2 0.242 0.955 0.04 0.96
#> D3en4_39 2 0.000 0.995 0.00 1.00
#> D3en4_41 1 0.000 0.993 1.00 0.00
#> D3en4_46 2 0.000 0.995 0.00 1.00
#> D3en4_48 2 0.000 0.995 0.00 1.00
#> D3en4_54 2 0.000 0.995 0.00 1.00
#> D3en4_60 2 0.000 0.995 0.00 1.00
#> D3en4_63 2 0.000 0.995 0.00 1.00
#> D3en4_65 2 0.000 0.995 0.00 1.00
#> D3en4_68 1 0.000 0.993 1.00 0.00
#> D3en4_69 1 0.000 0.993 1.00 0.00
#> D3en4_72 2 0.000 0.995 0.00 1.00
#> D3en4_87 2 0.000 0.995 0.00 1.00
#> D3en4_92 2 0.000 0.995 0.00 1.00
#> D3ex_6 2 0.000 0.995 0.00 1.00
#> D3ex_71 2 0.000 0.995 0.00 1.00
#> D3ex_76 2 0.000 0.995 0.00 1.00
#> D74_7 2 0.000 0.995 0.00 1.00
#> D74_14 2 0.000 0.995 0.00 1.00
#> D74_22 1 0.000 0.993 1.00 0.00
#> D74_23 2 0.000 0.995 0.00 1.00
#> D74_24 2 0.000 0.995 0.00 1.00
#> D74_39 2 0.000 0.995 0.00 1.00
#> D74_54 2 0.000 0.995 0.00 1.00
#> D74_58 2 0.000 0.995 0.00 1.00
#> D74_60 2 0.000 0.995 0.00 1.00
#> D74_62 1 0.000 0.993 1.00 0.00
#> D74_69 2 0.000 0.995 0.00 1.00
#> D74_71 2 0.000 0.995 0.00 1.00
#> D74_76 1 0.000 0.993 1.00 0.00
#> D74_78 2 0.000 0.995 0.00 1.00
#> D74_81 1 0.000 0.993 1.00 0.00
#> D74_90 2 0.000 0.995 0.00 1.00
#> D74_91 1 0.000 0.993 1.00 0.00
#> D74_93 2 0.000 0.995 0.00 1.00
#> D71_5 2 0.000 0.995 0.00 1.00
#> D71_10 2 0.000 0.995 0.00 1.00
#> D71_14 2 0.000 0.995 0.00 1.00
#> D71_23 1 0.000 0.993 1.00 0.00
#> D71_34 2 0.000 0.995 0.00 1.00
#> D71_39 2 0.000 0.995 0.00 1.00
#> D71_69 1 0.000 0.993 1.00 0.00
#> D71_71 1 0.000 0.993 1.00 0.00
#> D71_78 2 0.000 0.995 0.00 1.00
#> D71_80 1 0.000 0.993 1.00 0.00
#> D71_92 2 0.000 0.995 0.00 1.00
#> D71_95 2 0.000 0.995 0.00 1.00
#> D72_33 2 0.000 0.995 0.00 1.00
#> D72_93 2 0.000 0.995 0.00 1.00
#> D73_5 2 0.000 0.995 0.00 1.00
#> D73_23 2 0.000 0.995 0.00 1.00
#> D73_27 2 0.000 0.995 0.00 1.00
#> D73_37 1 0.000 0.993 1.00 0.00
#> D73_43 1 0.000 0.993 1.00 0.00
#> D73_46 1 0.000 0.993 1.00 0.00
#> D73_48 1 0.000 0.993 1.00 0.00
#> D73_54 2 0.000 0.995 0.00 1.00
#> D73_63 2 0.000 0.995 0.00 1.00
#> D73_64 2 0.000 0.995 0.00 1.00
#> D73_68 2 0.000 0.995 0.00 1.00
#> D73_70 2 0.000 0.995 0.00 1.00
#> D73_71 2 0.000 0.995 0.00 1.00
#> D73_73 2 0.000 0.995 0.00 1.00
#> D73_78 1 0.242 0.955 0.96 0.04
#> D73_96 1 0.000 0.993 1.00 0.00
#> D10631_29 2 0.000 0.995 0.00 1.00
#> D10631_53 2 0.000 0.995 0.00 1.00
#> D10631_57 2 0.000 0.995 0.00 1.00
#> D10631_63 2 0.000 0.995 0.00 1.00
#> D10631_66 2 0.000 0.995 0.00 1.00
#> D10631_67 2 0.000 0.995 0.00 1.00
#> D10631_69 2 0.000 0.995 0.00 1.00
#> D10631_70 2 0.000 0.995 0.00 1.00
#> D10631_76 2 0.000 0.995 0.00 1.00
#> D10631_85 2 0.000 0.995 0.00 1.00
#> D10631_91 2 0.000 0.995 0.00 1.00
#> D10631_95 1 0.827 0.652 0.74 0.26
#> D10631_96 2 0.000 0.995 0.00 1.00
#> D101_7 2 0.000 0.995 0.00 1.00
#> D101_17 2 0.000 0.995 0.00 1.00
#> D101_27 1 0.000 0.993 1.00 0.00
#> D101_29 1 0.000 0.993 1.00 0.00
#> D101_37 1 0.000 0.993 1.00 0.00
#> D101_48 2 0.000 0.995 0.00 1.00
#> D101_50 2 0.000 0.995 0.00 1.00
#> D101_51 1 0.000 0.993 1.00 0.00
#> D101_52 1 0.000 0.993 1.00 0.00
#> D101_53 1 0.000 0.993 1.00 0.00
#> D101_66 1 0.000 0.993 1.00 0.00
#> D101_69 1 0.000 0.993 1.00 0.00
#> D101_72 2 0.000 0.995 0.00 1.00
#> D101_74 1 0.141 0.974 0.98 0.02
#> D101_82 1 0.000 0.993 1.00 0.00
#> D102_1 1 0.000 0.993 1.00 0.00
#> D102_51 1 0.000 0.993 1.00 0.00
#> D102_54 1 0.000 0.993 1.00 0.00
#> D102_64 2 0.000 0.995 0.00 1.00
#> D102_68 1 0.000 0.993 1.00 0.00
#> D102_69 1 0.000 0.993 1.00 0.00
#> D102_71 1 0.000 0.993 1.00 0.00
#> D102_73 1 0.000 0.993 1.00 0.00
#> D102_76 1 0.000 0.993 1.00 0.00
#> D102_79 1 0.000 0.993 1.00 0.00
#> D102_87 1 0.000 0.993 1.00 0.00
#> D1713_1 1 0.000 0.993 1.00 0.00
#> D1713_2 1 0.000 0.993 1.00 0.00
#> D1713_3 2 0.000 0.995 0.00 1.00
#> D1713_4 2 0.000 0.995 0.00 1.00
#> D1713_8 2 0.000 0.995 0.00 1.00
#> D1713_10 1 0.000 0.993 1.00 0.00
#> D1713_12 2 0.000 0.995 0.00 1.00
#> D1713_13 1 0.000 0.993 1.00 0.00
#> D1713_14 2 0.000 0.995 0.00 1.00
#> D1713_15 2 0.000 0.995 0.00 1.00
#> D1713_16 1 0.000 0.993 1.00 0.00
#> D1713_20 1 0.000 0.993 1.00 0.00
#> D1713_22 2 0.000 0.995 0.00 1.00
#> D1713_23 2 0.000 0.995 0.00 1.00
#> D1713_25 1 0.000 0.993 1.00 0.00
#> D1713_27 1 0.000 0.993 1.00 0.00
#> D1713_29 1 0.000 0.993 1.00 0.00
#> D1713_33 2 0.000 0.995 0.00 1.00
#> D1713_34 2 0.000 0.995 0.00 1.00
#> D1713_38 2 0.000 0.995 0.00 1.00
#> D1713_40 2 0.000 0.995 0.00 1.00
#> D1713_42 1 0.000 0.993 1.00 0.00
#> D1713_43 1 0.000 0.993 1.00 0.00
#> D1713_47 1 0.000 0.993 1.00 0.00
#> D1713_48 2 0.000 0.995 0.00 1.00
#> D1713_50 2 0.000 0.995 0.00 1.00
#> D1713_51 2 0.000 0.995 0.00 1.00
#> D1713_52 2 0.000 0.995 0.00 1.00
#> D1713_53 1 0.000 0.993 1.00 0.00
#> D1713_54 2 0.000 0.995 0.00 1.00
#> D1713_55 1 0.827 0.654 0.74 0.26
#> D1713_56 1 0.000 0.993 1.00 0.00
#> D1713_58 1 0.242 0.955 0.96 0.04
#> D1713_59 1 0.000 0.993 1.00 0.00
#> D1713_61 1 0.000 0.993 1.00 0.00
#> D1713_62 1 0.000 0.993 1.00 0.00
#> D1713_63 2 0.000 0.995 0.00 1.00
#> D1713_64 1 0.634 0.812 0.84 0.16
#> D1713_65 1 0.000 0.993 1.00 0.00
#> D1713_67 2 0.000 0.995 0.00 1.00
#> D1713_68 1 0.000 0.993 1.00 0.00
#> D1713_69 1 0.000 0.993 1.00 0.00
#> D1713_70 2 0.000 0.995 0.00 1.00
#> D1713_71 1 0.000 0.993 1.00 0.00
#> D1713_72 1 0.000 0.993 1.00 0.00
#> D1713_73 2 0.000 0.995 0.00 1.00
#> D1713_74 2 0.000 0.995 0.00 1.00
#> D1713_75 2 0.000 0.995 0.00 1.00
#> D1713_76 1 0.469 0.889 0.90 0.10
#> D1713_77 1 0.000 0.993 1.00 0.00
#> D1713_79 1 0.000 0.993 1.00 0.00
#> D1713_81 2 0.000 0.995 0.00 1.00
#> D1713_82 1 0.000 0.993 1.00 0.00
#> D1713_83 1 0.000 0.993 1.00 0.00
#> D1713_85 1 0.000 0.993 1.00 0.00
#> D1713_89 1 0.000 0.993 1.00 0.00
#> D1713_91 1 0.000 0.993 1.00 0.00
#> D172444_19 2 0.000 0.995 0.00 1.00
#> D17All1_9 1 0.000 0.993 1.00 0.00
#> D17All1_11 1 0.000 0.993 1.00 0.00
#> D17All1_20 2 0.000 0.995 0.00 1.00
#> D17All1_24 1 0.000 0.993 1.00 0.00
#> D17All1_25 2 0.000 0.995 0.00 1.00
#> D17All1_31 1 0.000 0.993 1.00 0.00
#> D17All1_32 2 0.000 0.995 0.00 1.00
#> D17All1_36 1 0.000 0.993 1.00 0.00
#> D17All1_41 1 0.000 0.993 1.00 0.00
#> D17All1_45 2 0.000 0.995 0.00 1.00
#> D17All1_47 1 0.000 0.993 1.00 0.00
#> D17All1_48 1 0.000 0.993 1.00 0.00
#> D17All1_50 2 0.000 0.995 0.00 1.00
#> D17All1_52 1 0.000 0.993 1.00 0.00
#> D17All1_56 2 0.327 0.934 0.06 0.94
#> D17All1_58 1 0.000 0.993 1.00 0.00
#> D17All1_65 1 0.000 0.993 1.00 0.00
#> D17All1_68 2 0.000 0.995 0.00 1.00
#> D17All1_69 1 0.000 0.993 1.00 0.00
#> D17All1_72 1 0.000 0.993 1.00 0.00
#> D17All1_76 1 0.000 0.993 1.00 0.00
#> D17All1_78 1 0.000 0.993 1.00 0.00
#> D17All1_84 2 0.634 0.809 0.16 0.84
#> D17All1_86 1 0.000 0.993 1.00 0.00
#> D17All1_92 1 0.000 0.993 1.00 0.00
#> D17All1_96 2 0.000 0.995 0.00 1.00
#> D17All2_3 1 0.000 0.993 1.00 0.00
#> D17All2_8 1 0.000 0.993 1.00 0.00
#> D17All2_18 2 0.000 0.995 0.00 1.00
#> D17All2_23 1 0.000 0.993 1.00 0.00
#> D17All2_48 1 0.000 0.993 1.00 0.00
#> D17All2_53 1 0.000 0.993 1.00 0.00
#> D17All2_58 1 0.000 0.993 1.00 0.00
#> D17All2_59 2 0.000 0.995 0.00 1.00
#> D17All2_70 1 0.000 0.993 1.00 0.00
#> D17All2_71 1 0.000 0.993 1.00 0.00
#> D17All2_72 1 0.000 0.993 1.00 0.00
#> D17All2_76 1 0.000 0.993 1.00 0.00
#> D17All2_77 1 0.000 0.993 1.00 0.00
#> D17All2_79 1 0.000 0.993 1.00 0.00
#> D17All2_80 1 0.000 0.993 1.00 0.00
#> D17All2_81 1 0.000 0.993 1.00 0.00
#> D17All2_83 2 0.000 0.995 0.00 1.00
#> D17All2_86 1 0.000 0.993 1.00 0.00
#> D17All2_91 1 0.000 0.993 1.00 0.00
#> D17All2_93 1 0.242 0.955 0.96 0.04
#> D17TGFB_3 1 0.000 0.993 1.00 0.00
#> D17TGFB_4 1 0.000 0.993 1.00 0.00
#> D17TGFB_6 1 0.000 0.993 1.00 0.00
#> D17TGFB_8 2 0.000 0.995 0.00 1.00
#> D17TGFB_9 1 0.000 0.993 1.00 0.00
#> D17TGFB_10 1 0.000 0.993 1.00 0.00
#> D17TGFB_12 2 0.000 0.995 0.00 1.00
#> D17TGFB_14 1 0.000 0.993 1.00 0.00
#> D17TGFB_17 1 0.000 0.993 1.00 0.00
#> D17TGFB_19 1 0.000 0.993 1.00 0.00
#> D17TGFB_21 1 0.000 0.993 1.00 0.00
#> D17TGFB_22 1 0.000 0.993 1.00 0.00
#> D17TGFB_23 1 0.000 0.993 1.00 0.00
#> D17TGFB_29 1 0.000 0.993 1.00 0.00
#> D17TGFB_36 2 0.000 0.995 0.00 1.00
#> D17TGFB_37 2 0.000 0.995 0.00 1.00
#> D17TGFB_39 2 0.000 0.995 0.00 1.00
#> D17TGFB_43 1 0.000 0.993 1.00 0.00
#> D17TGFB_47 2 0.000 0.995 0.00 1.00
#> D17TGFB_51 2 0.000 0.995 0.00 1.00
#> D17TGFB_54 1 0.000 0.993 1.00 0.00
#> D17TGFB_56 2 0.000 0.995 0.00 1.00
#> D17TGFB_58 1 0.000 0.993 1.00 0.00
#> D17TGFB_59 2 0.000 0.995 0.00 1.00
#> D17TGFB_61 2 0.000 0.995 0.00 1.00
#> D17TGFB_64 1 0.000 0.993 1.00 0.00
#> D17TGFB_66 1 0.000 0.993 1.00 0.00
#> D17TGFB_67 2 0.000 0.995 0.00 1.00
#> D17TGFB_71 1 0.000 0.993 1.00 0.00
#> D17TGFB_72 1 0.000 0.993 1.00 0.00
#> D17TGFB_74 2 0.000 0.995 0.00 1.00
#> D17TGFB_76 2 0.000 0.995 0.00 1.00
#> D17TGFB_77 2 0.000 0.995 0.00 1.00
#> D17TGFB_80 1 0.000 0.993 1.00 0.00
#> D17TGFB_81 1 0.000 0.993 1.00 0.00
#> D17TGFB_83 1 0.000 0.993 1.00 0.00
#> D17TGFB_85 2 0.402 0.912 0.08 0.92
#> D17TGFB_86 1 0.000 0.993 1.00 0.00
#> D17TGFB_87 1 0.000 0.993 1.00 0.00
#> D17TGFB_88 1 0.000 0.993 1.00 0.00
#> D17TGFB_89 2 0.000 0.995 0.00 1.00
#> D17TGFB_92 2 0.000 0.995 0.00 1.00
#> D17TGFB_93 2 0.000 0.995 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_4 3 0.0000 0.987 0.00 0.00 1.00
#> D2ex_9 3 0.0000 0.987 0.00 0.00 1.00
#> D2ex_16 2 0.0000 0.979 0.00 1.00 0.00
#> D2ex_18 2 0.0000 0.979 0.00 1.00 0.00
#> D2ex_29 3 0.0000 0.987 0.00 0.00 1.00
#> D2ex_34 2 0.0892 0.960 0.02 0.98 0.00
#> D2ex_44 2 0.0000 0.979 0.00 1.00 0.00
#> D2ex_46 2 0.0000 0.979 0.00 1.00 0.00
#> D2ex_51 2 0.0000 0.979 0.00 1.00 0.00
#> D2ex_61 1 0.0000 0.987 1.00 0.00 0.00
#> D2ex_66 1 0.0000 0.987 1.00 0.00 0.00
#> D2ex_67 3 0.0000 0.987 0.00 0.00 1.00
#> D2ex_68 1 0.0000 0.987 1.00 0.00 0.00
#> D2ex_69 2 0.0000 0.979 0.00 1.00 0.00
#> D2ex_70 2 0.0000 0.979 0.00 1.00 0.00
#> D2ex_71 3 0.0000 0.987 0.00 0.00 1.00
#> D2ex_76 1 0.5560 0.568 0.70 0.30 0.00
#> D2ex_79 2 0.0000 0.979 0.00 1.00 0.00
#> D2ex_83 3 0.1529 0.949 0.04 0.00 0.96
#> D2ex_90 2 0.0000 0.979 0.00 1.00 0.00
#> D2ex_92 2 0.0000 0.979 0.00 1.00 0.00
#> D3en1_45 2 0.0000 0.979 0.00 1.00 0.00
#> D3en1_48 1 0.0892 0.968 0.98 0.02 0.00
#> D3en1_56 1 0.0000 0.987 1.00 0.00 0.00
#> D3en1_60 3 0.6722 0.666 0.06 0.22 0.72
#> D3en2_23 2 0.0000 0.979 0.00 1.00 0.00
#> D3en2_74 2 0.0000 0.979 0.00 1.00 0.00
#> D3en3_46 2 0.0000 0.979 0.00 1.00 0.00
#> D3en3_72 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_7 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_8 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_9 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_14 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_25 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_26 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_30 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_39 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_41 1 0.1529 0.949 0.96 0.00 0.04
#> D3en4_46 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_48 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_54 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_60 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_63 3 0.0000 0.987 0.00 0.00 1.00
#> D3en4_65 3 0.0000 0.987 0.00 0.00 1.00
#> D3en4_68 1 0.0000 0.987 1.00 0.00 0.00
#> D3en4_69 1 0.0000 0.987 1.00 0.00 0.00
#> D3en4_72 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_87 2 0.0000 0.979 0.00 1.00 0.00
#> D3en4_92 2 0.0000 0.979 0.00 1.00 0.00
#> D3ex_6 2 0.0000 0.979 0.00 1.00 0.00
#> D3ex_71 2 0.0000 0.979 0.00 1.00 0.00
#> D3ex_76 2 0.0000 0.979 0.00 1.00 0.00
#> D74_7 2 0.0000 0.979 0.00 1.00 0.00
#> D74_14 2 0.0000 0.979 0.00 1.00 0.00
#> D74_22 1 0.5948 0.440 0.64 0.00 0.36
#> D74_23 3 0.0000 0.987 0.00 0.00 1.00
#> D74_24 3 0.0000 0.987 0.00 0.00 1.00
#> D74_39 3 0.0000 0.987 0.00 0.00 1.00
#> D74_54 3 0.0000 0.987 0.00 0.00 1.00
#> D74_58 3 0.0000 0.987 0.00 0.00 1.00
#> D74_60 3 0.0000 0.987 0.00 0.00 1.00
#> D74_62 1 0.0000 0.987 1.00 0.00 0.00
#> D74_69 3 0.0000 0.987 0.00 0.00 1.00
#> D74_71 3 0.0000 0.987 0.00 0.00 1.00
#> D74_76 2 0.2537 0.898 0.08 0.92 0.00
#> D74_78 3 0.0000 0.987 0.00 0.00 1.00
#> D74_81 1 0.0000 0.987 1.00 0.00 0.00
#> D74_90 2 0.0000 0.979 0.00 1.00 0.00
#> D74_91 1 0.0000 0.987 1.00 0.00 0.00
#> D74_93 3 0.0000 0.987 0.00 0.00 1.00
#> D71_5 2 0.0000 0.979 0.00 1.00 0.00
#> D71_10 2 0.0000 0.979 0.00 1.00 0.00
#> D71_14 3 0.0000 0.987 0.00 0.00 1.00
#> D71_23 1 0.0000 0.987 1.00 0.00 0.00
#> D71_34 2 0.0000 0.979 0.00 1.00 0.00
#> D71_39 2 0.0000 0.979 0.00 1.00 0.00
#> D71_69 1 0.0000 0.987 1.00 0.00 0.00
#> D71_71 3 0.0000 0.987 0.00 0.00 1.00
#> D71_78 2 0.0000 0.979 0.00 1.00 0.00
#> D71_80 1 0.0000 0.987 1.00 0.00 0.00
#> D71_92 2 0.0000 0.979 0.00 1.00 0.00
#> D71_95 3 0.0000 0.987 0.00 0.00 1.00
#> D72_33 2 0.4555 0.741 0.00 0.80 0.20
#> D72_93 3 0.0000 0.987 0.00 0.00 1.00
#> D73_5 3 0.0000 0.987 0.00 0.00 1.00
#> D73_23 3 0.0000 0.987 0.00 0.00 1.00
#> D73_27 3 0.0000 0.987 0.00 0.00 1.00
#> D73_37 1 0.0000 0.987 1.00 0.00 0.00
#> D73_43 1 0.0000 0.987 1.00 0.00 0.00
#> D73_46 1 0.0000 0.987 1.00 0.00 0.00
#> D73_48 1 0.0000 0.987 1.00 0.00 0.00
#> D73_54 3 0.0000 0.987 0.00 0.00 1.00
#> D73_63 3 0.0000 0.987 0.00 0.00 1.00
#> D73_64 3 0.0000 0.987 0.00 0.00 1.00
#> D73_68 2 0.0000 0.979 0.00 1.00 0.00
#> D73_70 3 0.0000 0.987 0.00 0.00 1.00
#> D73_71 3 0.0000 0.987 0.00 0.00 1.00
#> D73_73 3 0.0000 0.987 0.00 0.00 1.00
#> D73_78 3 0.0000 0.987 0.00 0.00 1.00
#> D73_96 1 0.0000 0.987 1.00 0.00 0.00
#> D10631_29 2 0.0000 0.979 0.00 1.00 0.00
#> D10631_53 2 0.0000 0.979 0.00 1.00 0.00
#> D10631_57 2 0.0000 0.979 0.00 1.00 0.00
#> D10631_63 3 0.0000 0.987 0.00 0.00 1.00
#> D10631_66 2 0.0000 0.979 0.00 1.00 0.00
#> D10631_67 2 0.0000 0.979 0.00 1.00 0.00
#> D10631_69 2 0.0000 0.979 0.00 1.00 0.00
#> D10631_70 2 0.0000 0.979 0.00 1.00 0.00
#> D10631_76 3 0.0000 0.987 0.00 0.00 1.00
#> D10631_85 3 0.0000 0.987 0.00 0.00 1.00
#> D10631_91 2 0.0000 0.979 0.00 1.00 0.00
#> D10631_95 2 0.3686 0.828 0.14 0.86 0.00
#> D10631_96 2 0.0000 0.979 0.00 1.00 0.00
#> D101_7 2 0.0000 0.979 0.00 1.00 0.00
#> D101_17 3 0.0000 0.987 0.00 0.00 1.00
#> D101_27 1 0.4002 0.807 0.84 0.00 0.16
#> D101_29 1 0.0000 0.987 1.00 0.00 0.00
#> D101_37 1 0.0000 0.987 1.00 0.00 0.00
#> D101_48 2 0.0000 0.979 0.00 1.00 0.00
#> D101_50 2 0.0000 0.979 0.00 1.00 0.00
#> D101_51 1 0.5216 0.646 0.74 0.26 0.00
#> D101_52 1 0.0000 0.987 1.00 0.00 0.00
#> D101_53 1 0.0000 0.987 1.00 0.00 0.00
#> D101_66 1 0.0000 0.987 1.00 0.00 0.00
#> D101_69 1 0.0000 0.987 1.00 0.00 0.00
#> D101_72 3 0.0000 0.987 0.00 0.00 1.00
#> D101_74 2 0.5706 0.539 0.32 0.68 0.00
#> D101_82 1 0.0000 0.987 1.00 0.00 0.00
#> D102_1 1 0.0000 0.987 1.00 0.00 0.00
#> D102_51 1 0.0000 0.987 1.00 0.00 0.00
#> D102_54 1 0.0000 0.987 1.00 0.00 0.00
#> D102_64 3 0.0000 0.987 0.00 0.00 1.00
#> D102_68 1 0.0000 0.987 1.00 0.00 0.00
#> D102_69 1 0.0000 0.987 1.00 0.00 0.00
#> D102_71 1 0.0000 0.987 1.00 0.00 0.00
#> D102_73 1 0.0000 0.987 1.00 0.00 0.00
#> D102_76 1 0.0000 0.987 1.00 0.00 0.00
#> D102_79 1 0.0000 0.987 1.00 0.00 0.00
#> D102_87 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_1 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_2 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_3 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_4 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_8 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_10 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_12 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_13 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_14 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_15 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_16 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_20 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_22 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_23 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_25 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_27 1 0.1529 0.948 0.96 0.04 0.00
#> D1713_29 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_33 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_34 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_38 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_40 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_42 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_43 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_47 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_48 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_50 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_51 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_52 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_53 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_54 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_55 2 0.7091 0.500 0.32 0.64 0.04
#> D1713_56 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_58 2 0.1529 0.940 0.04 0.96 0.00
#> D1713_59 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_61 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_62 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_63 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_64 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_65 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_67 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_68 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_69 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_70 2 0.0000 0.979 0.00 1.00 0.00
#> D1713_71 2 0.1529 0.940 0.04 0.96 0.00
#> D1713_72 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_73 2 0.0892 0.961 0.00 0.98 0.02
#> D1713_74 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_75 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_76 2 0.5835 0.499 0.34 0.66 0.00
#> D1713_77 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_79 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_81 3 0.0000 0.987 0.00 0.00 1.00
#> D1713_82 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_83 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_85 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_89 1 0.0000 0.987 1.00 0.00 0.00
#> D1713_91 1 0.0000 0.987 1.00 0.00 0.00
#> D172444_19 2 0.0000 0.979 0.00 1.00 0.00
#> D17All1_9 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_11 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_20 3 0.0000 0.987 0.00 0.00 1.00
#> D17All1_24 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_25 2 0.0892 0.961 0.00 0.98 0.02
#> D17All1_31 3 0.0000 0.987 0.00 0.00 1.00
#> D17All1_32 3 0.0000 0.987 0.00 0.00 1.00
#> D17All1_36 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_41 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_45 3 0.0000 0.987 0.00 0.00 1.00
#> D17All1_47 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_48 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_50 2 0.0000 0.979 0.00 1.00 0.00
#> D17All1_52 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_56 3 0.2959 0.882 0.00 0.10 0.90
#> D17All1_58 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_65 3 0.0000 0.987 0.00 0.00 1.00
#> D17All1_68 2 0.0000 0.979 0.00 1.00 0.00
#> D17All1_69 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_72 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_76 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_78 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_84 3 0.7517 0.221 0.04 0.42 0.54
#> D17All1_86 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_92 1 0.0000 0.987 1.00 0.00 0.00
#> D17All1_96 3 0.0000 0.987 0.00 0.00 1.00
#> D17All2_3 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_8 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_18 3 0.0000 0.987 0.00 0.00 1.00
#> D17All2_23 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_48 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_53 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_58 3 0.0000 0.987 0.00 0.00 1.00
#> D17All2_59 3 0.0000 0.987 0.00 0.00 1.00
#> D17All2_70 1 0.1529 0.950 0.96 0.00 0.04
#> D17All2_71 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_72 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_76 3 0.0000 0.987 0.00 0.00 1.00
#> D17All2_77 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_79 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_80 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_81 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_83 2 0.0000 0.979 0.00 1.00 0.00
#> D17All2_86 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_91 1 0.0000 0.987 1.00 0.00 0.00
#> D17All2_93 2 0.5948 0.452 0.36 0.64 0.00
#> D17TGFB_3 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_4 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_6 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_8 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_9 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_10 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_12 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_14 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_17 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_19 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_21 1 0.3340 0.859 0.88 0.12 0.00
#> D17TGFB_22 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_23 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_29 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_36 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_37 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_39 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_43 1 0.0892 0.968 0.98 0.02 0.00
#> D17TGFB_47 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_51 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_54 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_56 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_58 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_59 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_61 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_64 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_66 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_67 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_71 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_72 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_74 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_76 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_77 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_80 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_81 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_83 3 0.0892 0.968 0.02 0.00 0.98
#> D17TGFB_85 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_86 3 0.0892 0.968 0.02 0.00 0.98
#> D17TGFB_87 3 0.2066 0.928 0.06 0.00 0.94
#> D17TGFB_88 1 0.0000 0.987 1.00 0.00 0.00
#> D17TGFB_89 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_92 2 0.0000 0.979 0.00 1.00 0.00
#> D17TGFB_93 2 0.0000 0.979 0.00 1.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_4 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D2ex_9 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D2ex_16 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D2ex_18 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D2ex_29 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D2ex_34 1 0.0707 0.90666 0.98 0.02 0.00 0.00
#> D2ex_44 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D2ex_46 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D2ex_51 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D2ex_61 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D2ex_66 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D2ex_67 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D2ex_68 4 0.4994 -0.00518 0.48 0.00 0.00 0.52
#> D2ex_69 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D2ex_70 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D2ex_71 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D2ex_76 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D2ex_79 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D2ex_83 3 0.4713 0.43704 0.00 0.00 0.64 0.36
#> D2ex_90 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D2ex_92 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en1_45 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en1_48 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D3en1_56 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D3en1_60 3 0.5784 0.65353 0.10 0.20 0.70 0.00
#> D3en2_23 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en2_74 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en3_46 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en3_72 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_7 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_8 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_9 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_14 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_25 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_26 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_30 2 0.4948 0.30255 0.44 0.56 0.00 0.00
#> D3en4_39 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_41 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D3en4_46 2 0.1637 0.92070 0.06 0.94 0.00 0.00
#> D3en4_48 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_54 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_60 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_63 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D3en4_65 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D3en4_68 1 0.4522 0.61353 0.68 0.00 0.00 0.32
#> D3en4_69 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D3en4_72 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_87 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3en4_92 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3ex_6 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3ex_71 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D3ex_76 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D74_7 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D74_14 2 0.2345 0.88564 0.10 0.90 0.00 0.00
#> D74_22 4 0.0707 0.87213 0.00 0.00 0.02 0.98
#> D74_23 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D74_24 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D74_39 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D74_54 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D74_58 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D74_60 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D74_62 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D74_69 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D74_71 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D74_76 1 0.0707 0.90666 0.98 0.02 0.00 0.00
#> D74_78 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D74_81 1 0.2345 0.89613 0.90 0.00 0.00 0.10
#> D74_90 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D74_91 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D74_93 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D71_5 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D71_10 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D71_14 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D71_23 4 0.3610 0.69545 0.20 0.00 0.00 0.80
#> D71_34 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D71_39 2 0.0707 0.94862 0.00 0.98 0.02 0.00
#> D71_69 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D71_71 4 0.3400 0.71434 0.00 0.00 0.18 0.82
#> D71_78 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D71_80 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D71_92 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D71_95 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D72_33 3 0.4134 0.64023 0.00 0.26 0.74 0.00
#> D72_93 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_5 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_23 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_27 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_37 1 0.3172 0.85233 0.84 0.00 0.00 0.16
#> D73_43 1 0.2011 0.90519 0.92 0.00 0.00 0.08
#> D73_46 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D73_48 1 0.3172 0.85233 0.84 0.00 0.00 0.16
#> D73_54 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_63 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_64 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_68 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D73_70 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_71 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_73 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D73_78 3 0.4522 0.53302 0.00 0.00 0.68 0.32
#> D73_96 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D10631_29 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D10631_53 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D10631_57 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D10631_63 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D10631_66 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D10631_67 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D10631_69 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D10631_70 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D10631_76 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D10631_85 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D10631_91 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D10631_95 1 0.2011 0.84904 0.92 0.08 0.00 0.00
#> D10631_96 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D101_7 2 0.1637 0.92071 0.06 0.94 0.00 0.00
#> D101_17 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D101_27 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D101_29 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D101_37 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D101_48 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D101_50 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D101_51 1 0.0707 0.90666 0.98 0.02 0.00 0.00
#> D101_52 4 0.5000 -0.09141 0.50 0.00 0.00 0.50
#> D101_53 1 0.4713 0.52339 0.64 0.00 0.00 0.36
#> D101_66 1 0.3610 0.80797 0.80 0.00 0.00 0.20
#> D101_69 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D101_72 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D101_74 1 0.0000 0.90955 1.00 0.00 0.00 0.00
#> D101_82 1 0.3801 0.78197 0.78 0.00 0.00 0.22
#> D102_1 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D102_51 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D102_54 1 0.2345 0.89613 0.90 0.00 0.00 0.10
#> D102_64 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D102_68 1 0.4624 0.57082 0.66 0.00 0.00 0.34
#> D102_69 1 0.3172 0.85233 0.84 0.00 0.00 0.16
#> D102_71 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D102_73 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D102_76 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D102_79 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D102_87 4 0.0707 0.87268 0.02 0.00 0.00 0.98
#> D1713_1 4 0.4134 0.59309 0.00 0.00 0.26 0.74
#> D1713_2 4 0.3610 0.68781 0.00 0.00 0.20 0.80
#> D1713_3 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_4 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_8 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D1713_10 4 0.4948 0.15290 0.44 0.00 0.00 0.56
#> D1713_12 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_13 3 0.5000 0.04043 0.00 0.00 0.50 0.50
#> D1713_14 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_15 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D1713_16 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D1713_20 4 0.4855 0.28281 0.40 0.00 0.00 0.60
#> D1713_22 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_23 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D1713_25 4 0.2011 0.82828 0.00 0.00 0.08 0.92
#> D1713_27 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D1713_29 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D1713_33 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D1713_34 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D1713_38 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D1713_40 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D1713_42 1 0.2647 0.88282 0.88 0.00 0.00 0.12
#> D1713_43 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D1713_47 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D1713_48 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_50 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D1713_51 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D1713_52 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_53 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D1713_54 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_55 2 0.6831 0.04393 0.10 0.48 0.00 0.42
#> D1713_56 4 0.4277 0.56201 0.00 0.00 0.28 0.72
#> D1713_58 1 0.1211 0.88965 0.96 0.04 0.00 0.00
#> D1713_59 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D1713_61 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D1713_62 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D1713_63 2 0.3400 0.79651 0.18 0.82 0.00 0.00
#> D1713_64 3 0.1211 0.91826 0.00 0.00 0.96 0.04
#> D1713_65 4 0.1211 0.85984 0.00 0.00 0.04 0.96
#> D1713_67 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D1713_68 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D1713_69 1 0.3172 0.85233 0.84 0.00 0.00 0.16
#> D1713_70 2 0.2345 0.88564 0.10 0.90 0.00 0.00
#> D1713_71 1 0.0000 0.90955 1.00 0.00 0.00 0.00
#> D1713_72 1 0.3172 0.85233 0.84 0.00 0.00 0.16
#> D1713_73 2 0.2706 0.88152 0.02 0.90 0.08 0.00
#> D1713_74 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_75 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_76 2 0.6766 0.20727 0.38 0.52 0.00 0.10
#> D1713_77 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D1713_79 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D1713_81 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D1713_82 4 0.3610 0.69499 0.20 0.00 0.00 0.80
#> D1713_83 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D1713_85 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D1713_89 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D1713_91 1 0.4134 0.72257 0.74 0.00 0.00 0.26
#> D172444_19 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17All1_9 4 0.0707 0.87268 0.02 0.00 0.00 0.98
#> D17All1_11 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All1_20 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D17All1_24 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All1_25 2 0.2335 0.90226 0.02 0.92 0.06 0.00
#> D17All1_31 4 0.1637 0.84696 0.00 0.00 0.06 0.94
#> D17All1_32 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D17All1_36 1 0.2345 0.89613 0.90 0.00 0.00 0.10
#> D17All1_41 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All1_45 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D17All1_47 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All1_48 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All1_50 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17All1_52 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17All1_56 3 0.5512 0.73186 0.02 0.08 0.76 0.14
#> D17All1_58 4 0.4277 0.56523 0.28 0.00 0.00 0.72
#> D17All1_65 4 0.3975 0.62693 0.00 0.00 0.24 0.76
#> D17All1_68 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D17All1_69 1 0.1211 0.91880 0.96 0.00 0.00 0.04
#> D17All1_72 4 0.4994 -0.00709 0.48 0.00 0.00 0.52
#> D17All1_76 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All1_78 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All1_84 3 0.6755 0.60945 0.02 0.18 0.66 0.14
#> D17All1_86 4 0.2921 0.76696 0.14 0.00 0.00 0.86
#> D17All1_92 1 0.3172 0.85233 0.84 0.00 0.00 0.16
#> D17All1_96 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D17All2_3 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17All2_8 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All2_18 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D17All2_23 4 0.4134 0.60357 0.26 0.00 0.00 0.74
#> D17All2_48 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All2_53 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All2_58 3 0.4855 0.35128 0.00 0.00 0.60 0.40
#> D17All2_59 3 0.0000 0.95254 0.00 0.00 1.00 0.00
#> D17All2_70 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All2_71 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All2_72 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All2_76 4 0.3400 0.71458 0.00 0.00 0.18 0.82
#> D17All2_77 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All2_79 1 0.2345 0.89613 0.90 0.00 0.00 0.10
#> D17All2_80 4 0.4907 0.21913 0.42 0.00 0.00 0.58
#> D17All2_81 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All2_83 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D17All2_86 4 0.4948 0.22889 0.44 0.00 0.00 0.56
#> D17All2_91 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17All2_93 2 0.5606 0.09289 0.48 0.50 0.00 0.02
#> D17TGFB_3 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17TGFB_4 1 0.2345 0.89613 0.90 0.00 0.00 0.10
#> D17TGFB_6 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_8 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_9 1 0.3610 0.80797 0.80 0.00 0.00 0.20
#> D17TGFB_10 1 0.2011 0.90523 0.92 0.00 0.00 0.08
#> D17TGFB_12 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_14 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_17 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_19 4 0.4406 0.58985 0.30 0.00 0.00 0.70
#> D17TGFB_21 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_22 1 0.2345 0.89613 0.90 0.00 0.00 0.10
#> D17TGFB_23 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_29 1 0.4522 0.61353 0.68 0.00 0.00 0.32
#> D17TGFB_36 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_37 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_39 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_43 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_47 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_51 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_54 1 0.2345 0.89613 0.90 0.00 0.00 0.10
#> D17TGFB_56 2 0.2011 0.90400 0.08 0.92 0.00 0.00
#> D17TGFB_58 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_59 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_61 2 0.2345 0.88564 0.10 0.90 0.00 0.00
#> D17TGFB_64 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17TGFB_66 1 0.3172 0.85233 0.84 0.00 0.00 0.16
#> D17TGFB_67 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_71 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_72 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_74 2 0.2011 0.90400 0.08 0.92 0.00 0.00
#> D17TGFB_76 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_77 2 0.0707 0.95298 0.02 0.98 0.00 0.00
#> D17TGFB_80 1 0.0707 0.92388 0.98 0.00 0.00 0.02
#> D17TGFB_81 4 0.3975 0.63678 0.24 0.00 0.00 0.76
#> D17TGFB_83 4 0.1637 0.84630 0.00 0.00 0.06 0.94
#> D17TGFB_85 2 0.4948 0.29581 0.44 0.56 0.00 0.00
#> D17TGFB_86 4 0.2647 0.78694 0.00 0.00 0.12 0.88
#> D17TGFB_87 4 0.0707 0.87213 0.00 0.00 0.02 0.98
#> D17TGFB_88 4 0.0000 0.88526 0.00 0.00 0.00 1.00
#> D17TGFB_89 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_92 2 0.0000 0.96280 0.00 1.00 0.00 0.00
#> D17TGFB_93 2 0.0000 0.96280 0.00 1.00 0.00 0.00
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 285 9.14e-07 2
#> ATC:skmeans 282 2.00e-08 3
#> ATC:skmeans 271 1.08e-09 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node022. Child nodes: Node01121-leaf , Node01122-leaf , Node01321-leaf , Node01322-leaf , Node02111-leaf , Node02112-leaf , Node02121-leaf , Node02122-leaf , Node02123-leaf , Node02211-leaf , Node02212-leaf , Node02213-leaf , Node02221-leaf , Node02222-leaf , Node02321-leaf , Node02322-leaf , Node02331-leaf , Node02332-leaf , Node02333-leaf .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["0221"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 9006 rows and 113 columns.
#> Top rows (901) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.996 0.998 0.505 0.496 0.496
#> 3 3 1.000 0.983 0.992 0.298 0.798 0.612
#> 4 4 0.924 0.902 0.959 0.146 0.840 0.574
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 2 3
There is also optional best \(k\) = 2 3 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_61 1 0.000 1.000 1.00 0.00
#> D2ex_66 1 0.000 1.000 1.00 0.00
#> D2ex_68 2 0.327 0.937 0.06 0.94
#> D2ex_76 1 0.000 1.000 1.00 0.00
#> D3en1_48 1 0.000 1.000 1.00 0.00
#> D3en1_56 1 0.000 1.000 1.00 0.00
#> D3en4_41 2 0.000 0.996 0.00 1.00
#> D3en4_68 1 0.000 1.000 1.00 0.00
#> D3en4_69 1 0.000 1.000 1.00 0.00
#> D74_22 2 0.000 0.996 0.00 1.00
#> D74_62 1 0.000 1.000 1.00 0.00
#> D74_81 1 0.000 1.000 1.00 0.00
#> D74_91 2 0.000 0.996 0.00 1.00
#> D71_23 2 0.000 0.996 0.00 1.00
#> D71_69 2 0.000 0.996 0.00 1.00
#> D71_80 1 0.000 1.000 1.00 0.00
#> D73_37 1 0.000 1.000 1.00 0.00
#> D73_43 1 0.000 1.000 1.00 0.00
#> D73_46 2 0.000 0.996 0.00 1.00
#> D73_48 1 0.000 1.000 1.00 0.00
#> D73_96 2 0.000 0.996 0.00 1.00
#> D101_27 2 0.000 0.996 0.00 1.00
#> D101_29 2 0.000 0.996 0.00 1.00
#> D101_37 2 0.000 0.996 0.00 1.00
#> D101_51 1 0.000 1.000 1.00 0.00
#> D101_52 1 0.000 1.000 1.00 0.00
#> D101_53 2 0.529 0.865 0.12 0.88
#> D101_66 1 0.000 1.000 1.00 0.00
#> D101_69 2 0.000 0.996 0.00 1.00
#> D101_82 1 0.000 1.000 1.00 0.00
#> D102_1 2 0.000 0.996 0.00 1.00
#> D102_51 1 0.000 1.000 1.00 0.00
#> D102_54 1 0.000 1.000 1.00 0.00
#> D102_68 2 0.000 0.996 0.00 1.00
#> D102_69 1 0.000 1.000 1.00 0.00
#> D102_71 1 0.000 1.000 1.00 0.00
#> D102_73 2 0.000 0.996 0.00 1.00
#> D102_76 1 0.000 1.000 1.00 0.00
#> D102_79 2 0.000 0.996 0.00 1.00
#> D102_87 2 0.000 0.996 0.00 1.00
#> D1713_10 2 0.000 0.996 0.00 1.00
#> D1713_16 1 0.000 1.000 1.00 0.00
#> D1713_20 2 0.141 0.978 0.02 0.98
#> D1713_27 1 0.000 1.000 1.00 0.00
#> D1713_29 1 0.000 1.000 1.00 0.00
#> D1713_42 1 0.000 1.000 1.00 0.00
#> D1713_43 2 0.000 0.996 0.00 1.00
#> D1713_47 2 0.000 0.996 0.00 1.00
#> D1713_53 2 0.000 0.996 0.00 1.00
#> D1713_59 2 0.000 0.996 0.00 1.00
#> D1713_61 1 0.000 1.000 1.00 0.00
#> D1713_62 1 0.000 1.000 1.00 0.00
#> D1713_68 1 0.000 1.000 1.00 0.00
#> D1713_69 1 0.000 1.000 1.00 0.00
#> D1713_72 1 0.000 1.000 1.00 0.00
#> D1713_77 2 0.000 0.996 0.00 1.00
#> D1713_79 2 0.000 0.996 0.00 1.00
#> D1713_82 2 0.000 0.996 0.00 1.00
#> D1713_83 2 0.000 0.996 0.00 1.00
#> D1713_85 2 0.000 0.996 0.00 1.00
#> D1713_89 1 0.000 1.000 1.00 0.00
#> D1713_91 1 0.000 1.000 1.00 0.00
#> D17All1_9 2 0.000 0.996 0.00 1.00
#> D17All1_11 2 0.000 0.996 0.00 1.00
#> D17All1_24 2 0.000 0.996 0.00 1.00
#> D17All1_36 1 0.000 1.000 1.00 0.00
#> D17All1_41 2 0.000 0.996 0.00 1.00
#> D17All1_47 2 0.000 0.996 0.00 1.00
#> D17All1_48 2 0.000 0.996 0.00 1.00
#> D17All1_52 1 0.000 1.000 1.00 0.00
#> D17All1_58 2 0.000 0.996 0.00 1.00
#> D17All1_69 1 0.000 1.000 1.00 0.00
#> D17All1_72 2 0.000 0.996 0.00 1.00
#> D17All1_76 2 0.000 0.996 0.00 1.00
#> D17All1_78 2 0.000 0.996 0.00 1.00
#> D17All1_86 2 0.000 0.996 0.00 1.00
#> D17All1_92 1 0.000 1.000 1.00 0.00
#> D17All2_3 1 0.000 1.000 1.00 0.00
#> D17All2_8 2 0.000 0.996 0.00 1.00
#> D17All2_23 2 0.000 0.996 0.00 1.00
#> D17All2_48 2 0.000 0.996 0.00 1.00
#> D17All2_53 2 0.000 0.996 0.00 1.00
#> D17All2_70 2 0.000 0.996 0.00 1.00
#> D17All2_71 2 0.000 0.996 0.00 1.00
#> D17All2_72 2 0.000 0.996 0.00 1.00
#> D17All2_77 2 0.000 0.996 0.00 1.00
#> D17All2_79 1 0.000 1.000 1.00 0.00
#> D17All2_80 2 0.000 0.996 0.00 1.00
#> D17All2_81 2 0.000 0.996 0.00 1.00
#> D17All2_86 2 0.000 0.996 0.00 1.00
#> D17All2_91 2 0.000 0.996 0.00 1.00
#> D17TGFB_3 2 0.000 0.996 0.00 1.00
#> D17TGFB_4 1 0.000 1.000 1.00 0.00
#> D17TGFB_6 1 0.000 1.000 1.00 0.00
#> D17TGFB_9 1 0.000 1.000 1.00 0.00
#> D17TGFB_10 1 0.000 1.000 1.00 0.00
#> D17TGFB_14 1 0.000 1.000 1.00 0.00
#> D17TGFB_17 1 0.000 1.000 1.00 0.00
#> D17TGFB_19 2 0.000 0.996 0.00 1.00
#> D17TGFB_21 1 0.000 1.000 1.00 0.00
#> D17TGFB_22 1 0.000 1.000 1.00 0.00
#> D17TGFB_23 1 0.000 1.000 1.00 0.00
#> D17TGFB_29 1 0.000 1.000 1.00 0.00
#> D17TGFB_43 1 0.000 1.000 1.00 0.00
#> D17TGFB_54 1 0.000 1.000 1.00 0.00
#> D17TGFB_58 1 0.000 1.000 1.00 0.00
#> D17TGFB_64 2 0.000 0.996 0.00 1.00
#> D17TGFB_66 1 0.000 1.000 1.00 0.00
#> D17TGFB_71 1 0.000 1.000 1.00 0.00
#> D17TGFB_72 1 0.000 1.000 1.00 0.00
#> D17TGFB_80 1 0.000 1.000 1.00 0.00
#> D17TGFB_81 2 0.000 0.996 0.00 1.00
#> D17TGFB_88 2 0.000 0.996 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_61 1 0.0000 0.993 1.00 0.00 0.00
#> D2ex_66 1 0.0000 0.993 1.00 0.00 0.00
#> D2ex_68 3 0.0000 0.985 0.00 0.00 1.00
#> D2ex_76 1 0.0000 0.993 1.00 0.00 0.00
#> D3en1_48 1 0.0000 0.993 1.00 0.00 0.00
#> D3en1_56 1 0.0000 0.993 1.00 0.00 0.00
#> D3en4_41 2 0.0000 0.994 0.00 1.00 0.00
#> D3en4_68 3 0.0000 0.985 0.00 0.00 1.00
#> D3en4_69 1 0.0000 0.993 1.00 0.00 0.00
#> D74_22 2 0.0000 0.994 0.00 1.00 0.00
#> D74_62 1 0.0000 0.993 1.00 0.00 0.00
#> D74_81 1 0.1529 0.957 0.96 0.00 0.04
#> D74_91 2 0.0000 0.994 0.00 1.00 0.00
#> D71_23 2 0.0000 0.994 0.00 1.00 0.00
#> D71_69 2 0.0000 0.994 0.00 1.00 0.00
#> D71_80 1 0.0000 0.993 1.00 0.00 0.00
#> D73_37 3 0.0000 0.985 0.00 0.00 1.00
#> D73_43 3 0.0000 0.985 0.00 0.00 1.00
#> D73_46 2 0.0000 0.994 0.00 1.00 0.00
#> D73_48 3 0.0000 0.985 0.00 0.00 1.00
#> D73_96 2 0.0000 0.994 0.00 1.00 0.00
#> D101_27 2 0.0000 0.994 0.00 1.00 0.00
#> D101_29 2 0.0000 0.994 0.00 1.00 0.00
#> D101_37 2 0.0000 0.994 0.00 1.00 0.00
#> D101_51 1 0.0000 0.993 1.00 0.00 0.00
#> D101_52 3 0.0000 0.985 0.00 0.00 1.00
#> D101_53 3 0.0000 0.985 0.00 0.00 1.00
#> D101_66 3 0.0000 0.985 0.00 0.00 1.00
#> D101_69 2 0.0000 0.994 0.00 1.00 0.00
#> D101_82 3 0.0000 0.985 0.00 0.00 1.00
#> D102_1 2 0.0000 0.994 0.00 1.00 0.00
#> D102_51 1 0.0000 0.993 1.00 0.00 0.00
#> D102_54 1 0.2537 0.916 0.92 0.00 0.08
#> D102_68 3 0.0000 0.985 0.00 0.00 1.00
#> D102_69 3 0.0000 0.985 0.00 0.00 1.00
#> D102_71 1 0.0000 0.993 1.00 0.00 0.00
#> D102_73 2 0.0000 0.994 0.00 1.00 0.00
#> D102_76 1 0.0000 0.993 1.00 0.00 0.00
#> D102_79 2 0.0000 0.994 0.00 1.00 0.00
#> D102_87 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_10 3 0.0892 0.967 0.00 0.02 0.98
#> D1713_16 1 0.0000 0.993 1.00 0.00 0.00
#> D1713_20 3 0.0000 0.985 0.00 0.00 1.00
#> D1713_27 1 0.0000 0.993 1.00 0.00 0.00
#> D1713_29 1 0.0000 0.993 1.00 0.00 0.00
#> D1713_42 3 0.0000 0.985 0.00 0.00 1.00
#> D1713_43 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_47 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_53 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_59 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_61 1 0.0000 0.993 1.00 0.00 0.00
#> D1713_62 1 0.0000 0.993 1.00 0.00 0.00
#> D1713_68 1 0.0000 0.993 1.00 0.00 0.00
#> D1713_69 3 0.0000 0.985 0.00 0.00 1.00
#> D1713_72 3 0.0000 0.985 0.00 0.00 1.00
#> D1713_77 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_79 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_82 3 0.0000 0.985 0.00 0.00 1.00
#> D1713_83 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_85 2 0.0000 0.994 0.00 1.00 0.00
#> D1713_89 1 0.0000 0.993 1.00 0.00 0.00
#> D1713_91 3 0.0000 0.985 0.00 0.00 1.00
#> D17All1_9 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_11 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_24 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_36 1 0.0000 0.993 1.00 0.00 0.00
#> D17All1_41 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_47 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_48 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_52 1 0.0000 0.993 1.00 0.00 0.00
#> D17All1_58 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_69 1 0.1529 0.957 0.96 0.00 0.04
#> D17All1_72 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_76 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_78 2 0.0000 0.994 0.00 1.00 0.00
#> D17All1_86 3 0.0000 0.985 0.00 0.00 1.00
#> D17All1_92 3 0.0000 0.985 0.00 0.00 1.00
#> D17All2_3 1 0.0000 0.993 1.00 0.00 0.00
#> D17All2_8 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_23 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_48 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_53 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_70 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_71 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_72 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_77 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_79 1 0.0000 0.993 1.00 0.00 0.00
#> D17All2_80 3 0.0000 0.985 0.00 0.00 1.00
#> D17All2_81 2 0.0000 0.994 0.00 1.00 0.00
#> D17All2_86 2 0.2959 0.887 0.10 0.90 0.00
#> D17All2_91 2 0.0000 0.994 0.00 1.00 0.00
#> D17TGFB_3 2 0.0892 0.975 0.00 0.98 0.02
#> D17TGFB_4 3 0.0000 0.985 0.00 0.00 1.00
#> D17TGFB_6 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_9 3 0.0000 0.985 0.00 0.00 1.00
#> D17TGFB_10 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_14 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_17 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_19 2 0.3686 0.840 0.14 0.86 0.00
#> D17TGFB_21 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_22 3 0.0000 0.985 0.00 0.00 1.00
#> D17TGFB_23 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_29 3 0.0000 0.985 0.00 0.00 1.00
#> D17TGFB_43 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_54 1 0.2959 0.892 0.90 0.00 0.10
#> D17TGFB_58 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_64 2 0.0000 0.994 0.00 1.00 0.00
#> D17TGFB_66 3 0.4291 0.775 0.18 0.00 0.82
#> D17TGFB_71 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_72 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_80 1 0.0000 0.993 1.00 0.00 0.00
#> D17TGFB_81 3 0.4002 0.808 0.00 0.16 0.84
#> D17TGFB_88 2 0.0000 0.994 0.00 1.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_61 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D2ex_66 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D2ex_68 3 0.4907 0.259 0.00 0.00 0.58 0.42
#> D2ex_76 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D3en1_48 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D3en1_56 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D3en4_41 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D3en4_68 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D3en4_69 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D74_22 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D74_62 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D74_81 3 0.4624 0.489 0.34 0.00 0.66 0.00
#> D74_91 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D71_23 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D71_69 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D71_80 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D73_37 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D73_43 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D73_46 2 0.0707 0.967 0.00 0.98 0.00 0.02
#> D73_48 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D73_96 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D101_27 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D101_29 2 0.2647 0.877 0.00 0.88 0.00 0.12
#> D101_37 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D101_51 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D101_52 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D101_53 3 0.3400 0.708 0.00 0.00 0.82 0.18
#> D101_66 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D101_69 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D101_82 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D102_1 2 0.0707 0.968 0.00 0.98 0.00 0.02
#> D102_51 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D102_54 3 0.3400 0.739 0.18 0.00 0.82 0.00
#> D102_68 3 0.4624 0.454 0.00 0.00 0.66 0.34
#> D102_69 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D102_71 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D102_73 2 0.1211 0.957 0.00 0.96 0.00 0.04
#> D102_76 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D102_79 2 0.1211 0.957 0.00 0.96 0.00 0.04
#> D102_87 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D1713_10 4 0.2921 0.820 0.00 0.00 0.14 0.86
#> D1713_16 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D1713_20 4 0.4522 0.491 0.00 0.00 0.32 0.68
#> D1713_27 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D1713_29 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D1713_42 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D1713_43 4 0.1211 0.934 0.00 0.04 0.00 0.96
#> D1713_47 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D1713_53 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D1713_59 2 0.1211 0.957 0.00 0.96 0.00 0.04
#> D1713_61 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D1713_62 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D1713_68 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D1713_69 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D1713_72 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D1713_77 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D1713_79 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D1713_82 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D1713_83 2 0.0707 0.968 0.00 0.98 0.00 0.02
#> D1713_85 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D1713_89 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D1713_91 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D17All1_9 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D17All1_11 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D17All1_24 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17All1_36 1 0.2647 0.850 0.88 0.00 0.12 0.00
#> D17All1_41 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17All1_47 2 0.1211 0.957 0.00 0.96 0.00 0.04
#> D17All1_48 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D17All1_52 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17All1_58 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17All1_69 3 0.4134 0.636 0.26 0.00 0.74 0.00
#> D17All1_72 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17All1_76 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17All1_78 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D17All1_86 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D17All1_92 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D17All2_3 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17All2_8 2 0.0707 0.968 0.00 0.98 0.00 0.02
#> D17All2_23 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17All2_48 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D17All2_53 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17All2_70 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17All2_71 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D17All2_72 4 0.0707 0.955 0.00 0.02 0.00 0.98
#> D17All2_77 2 0.1211 0.957 0.00 0.96 0.00 0.04
#> D17All2_79 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17All2_80 3 0.4948 0.200 0.00 0.00 0.56 0.44
#> D17All2_81 2 0.4624 0.522 0.00 0.66 0.00 0.34
#> D17All2_86 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17All2_91 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17TGFB_3 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D17TGFB_4 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D17TGFB_6 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17TGFB_9 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D17TGFB_10 1 0.1211 0.944 0.96 0.00 0.04 0.00
#> D17TGFB_14 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17TGFB_17 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17TGFB_19 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17TGFB_21 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17TGFB_22 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D17TGFB_23 3 0.5000 0.023 0.50 0.00 0.50 0.00
#> D17TGFB_29 3 0.0000 0.873 0.00 0.00 1.00 0.00
#> D17TGFB_43 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17TGFB_54 3 0.3801 0.692 0.22 0.00 0.78 0.00
#> D17TGFB_58 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17TGFB_64 2 0.0000 0.975 0.00 1.00 0.00 0.00
#> D17TGFB_66 3 0.0707 0.862 0.02 0.00 0.98 0.00
#> D17TGFB_71 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17TGFB_72 1 0.4522 0.491 0.68 0.00 0.32 0.00
#> D17TGFB_80 1 0.0000 0.984 1.00 0.00 0.00 0.00
#> D17TGFB_81 4 0.0000 0.974 0.00 0.00 0.00 1.00
#> D17TGFB_88 4 0.0000 0.974 0.00 0.00 0.00 1.00
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 113 0.527 2
#> ATC:skmeans 113 0.552 3
#> ATC:skmeans 106 0.259 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node022. Child nodes: Node01121-leaf , Node01122-leaf , Node01321-leaf , Node01322-leaf , Node02111-leaf , Node02112-leaf , Node02121-leaf , Node02122-leaf , Node02123-leaf , Node02211-leaf , Node02212-leaf , Node02213-leaf , Node02221-leaf , Node02222-leaf , Node02321-leaf , Node02322-leaf , Node02331-leaf , Node02332-leaf , Node02333-leaf .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["0222"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 8228 rows and 101 columns.
#> Top rows (802) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.999 0.964 0.986 0.368 0.634 0.634
#> 3 3 0.713 0.850 0.936 0.734 0.651 0.481
#> 4 4 0.637 0.779 0.875 0.169 0.796 0.500
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_16 1 0.000 0.989 1.00 0.00
#> D2ex_18 1 0.000 0.989 1.00 0.00
#> D2ex_34 1 0.000 0.989 1.00 0.00
#> D2ex_44 1 0.000 0.989 1.00 0.00
#> D2ex_46 2 0.242 0.940 0.04 0.96
#> D2ex_51 1 0.000 0.989 1.00 0.00
#> D2ex_69 1 0.000 0.989 1.00 0.00
#> D2ex_70 1 0.000 0.989 1.00 0.00
#> D2ex_79 1 0.000 0.989 1.00 0.00
#> D2ex_90 1 0.242 0.951 0.96 0.04
#> D2ex_92 1 0.000 0.989 1.00 0.00
#> D3en1_45 1 0.000 0.989 1.00 0.00
#> D3en2_23 1 0.000 0.989 1.00 0.00
#> D3en2_74 1 0.000 0.989 1.00 0.00
#> D3en3_46 1 0.000 0.989 1.00 0.00
#> D3en3_72 1 0.000 0.989 1.00 0.00
#> D3en4_7 1 0.000 0.989 1.00 0.00
#> D3en4_8 1 0.000 0.989 1.00 0.00
#> D3en4_9 1 0.000 0.989 1.00 0.00
#> D3en4_14 1 0.000 0.989 1.00 0.00
#> D3en4_25 1 0.000 0.989 1.00 0.00
#> D3en4_26 1 0.000 0.989 1.00 0.00
#> D3en4_30 1 0.000 0.989 1.00 0.00
#> D3en4_39 1 0.000 0.989 1.00 0.00
#> D3en4_46 1 0.000 0.989 1.00 0.00
#> D3en4_48 1 0.000 0.989 1.00 0.00
#> D3en4_54 1 0.000 0.989 1.00 0.00
#> D3en4_60 1 0.000 0.989 1.00 0.00
#> D3en4_72 1 0.000 0.989 1.00 0.00
#> D3en4_87 1 0.000 0.989 1.00 0.00
#> D3en4_92 1 0.000 0.989 1.00 0.00
#> D3ex_6 1 0.000 0.989 1.00 0.00
#> D3ex_71 1 0.000 0.989 1.00 0.00
#> D3ex_76 1 0.000 0.989 1.00 0.00
#> D74_7 2 0.000 0.972 0.00 1.00
#> D74_14 1 0.000 0.989 1.00 0.00
#> D74_76 1 0.000 0.989 1.00 0.00
#> D74_90 1 0.402 0.908 0.92 0.08
#> D71_5 1 0.000 0.989 1.00 0.00
#> D71_10 1 0.000 0.989 1.00 0.00
#> D71_34 1 0.000 0.989 1.00 0.00
#> D71_39 2 0.000 0.972 0.00 1.00
#> D71_78 1 0.000 0.989 1.00 0.00
#> D71_92 1 0.000 0.989 1.00 0.00
#> D72_33 2 0.402 0.901 0.08 0.92
#> D73_68 2 0.327 0.922 0.06 0.94
#> D10631_29 1 0.000 0.989 1.00 0.00
#> D10631_53 1 0.000 0.989 1.00 0.00
#> D10631_57 1 0.000 0.989 1.00 0.00
#> D10631_66 1 0.000 0.989 1.00 0.00
#> D10631_67 1 0.000 0.989 1.00 0.00
#> D10631_69 1 0.000 0.989 1.00 0.00
#> D10631_70 2 0.000 0.972 0.00 1.00
#> D10631_91 1 0.000 0.989 1.00 0.00
#> D10631_95 1 0.971 0.322 0.60 0.40
#> D10631_96 1 0.000 0.989 1.00 0.00
#> D101_7 1 0.000 0.989 1.00 0.00
#> D101_48 2 0.000 0.972 0.00 1.00
#> D101_50 1 0.000 0.989 1.00 0.00
#> D101_74 2 0.000 0.972 0.00 1.00
#> D1713_8 1 0.141 0.970 0.98 0.02
#> D1713_15 1 0.529 0.860 0.88 0.12
#> D1713_23 2 0.000 0.972 0.00 1.00
#> D1713_33 2 0.000 0.972 0.00 1.00
#> D1713_34 2 0.000 0.972 0.00 1.00
#> D1713_38 2 0.000 0.972 0.00 1.00
#> D1713_40 2 0.000 0.972 0.00 1.00
#> D1713_50 1 0.000 0.989 1.00 0.00
#> D1713_51 2 0.000 0.972 0.00 1.00
#> D1713_55 2 0.000 0.972 0.00 1.00
#> D1713_58 1 0.000 0.989 1.00 0.00
#> D1713_63 1 0.000 0.989 1.00 0.00
#> D1713_67 1 0.000 0.989 1.00 0.00
#> D1713_70 2 0.995 0.143 0.46 0.54
#> D1713_71 2 0.000 0.972 0.00 1.00
#> D1713_73 2 0.000 0.972 0.00 1.00
#> D1713_76 2 0.000 0.972 0.00 1.00
#> D172444_19 1 0.000 0.989 1.00 0.00
#> D17All1_25 2 0.000 0.972 0.00 1.00
#> D17All1_50 1 0.000 0.989 1.00 0.00
#> D17All1_68 2 0.000 0.972 0.00 1.00
#> D17All2_83 2 0.000 0.972 0.00 1.00
#> D17All2_93 2 0.000 0.972 0.00 1.00
#> D17TGFB_8 1 0.000 0.989 1.00 0.00
#> D17TGFB_12 1 0.000 0.989 1.00 0.00
#> D17TGFB_36 1 0.000 0.989 1.00 0.00
#> D17TGFB_37 1 0.000 0.989 1.00 0.00
#> D17TGFB_39 1 0.000 0.989 1.00 0.00
#> D17TGFB_47 1 0.000 0.989 1.00 0.00
#> D17TGFB_51 1 0.000 0.989 1.00 0.00
#> D17TGFB_56 1 0.000 0.989 1.00 0.00
#> D17TGFB_59 1 0.634 0.807 0.84 0.16
#> D17TGFB_61 1 0.000 0.989 1.00 0.00
#> D17TGFB_67 1 0.000 0.989 1.00 0.00
#> D17TGFB_74 1 0.000 0.989 1.00 0.00
#> D17TGFB_76 1 0.000 0.989 1.00 0.00
#> D17TGFB_77 2 0.000 0.972 0.00 1.00
#> D17TGFB_85 1 0.000 0.989 1.00 0.00
#> D17TGFB_89 1 0.000 0.989 1.00 0.00
#> D17TGFB_92 1 0.000 0.989 1.00 0.00
#> D17TGFB_93 1 0.000 0.989 1.00 0.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_16 3 0.0000 0.9116 0.00 0.00 1.00
#> D2ex_18 3 0.2959 0.8447 0.10 0.00 0.90
#> D2ex_34 1 0.0000 0.9180 1.00 0.00 0.00
#> D2ex_44 3 0.0000 0.9116 0.00 0.00 1.00
#> D2ex_46 2 0.7683 0.5220 0.08 0.64 0.28
#> D2ex_51 1 0.0000 0.9180 1.00 0.00 0.00
#> D2ex_69 1 0.0000 0.9180 1.00 0.00 0.00
#> D2ex_70 1 0.0000 0.9180 1.00 0.00 0.00
#> D2ex_79 1 0.0000 0.9180 1.00 0.00 0.00
#> D2ex_90 3 0.0000 0.9116 0.00 0.00 1.00
#> D2ex_92 3 0.0000 0.9116 0.00 0.00 1.00
#> D3en1_45 1 0.4291 0.7591 0.82 0.00 0.18
#> D3en2_23 1 0.0000 0.9180 1.00 0.00 0.00
#> D3en2_74 3 0.0000 0.9116 0.00 0.00 1.00
#> D3en3_46 3 0.0000 0.9116 0.00 0.00 1.00
#> D3en3_72 3 0.0000 0.9116 0.00 0.00 1.00
#> D3en4_7 3 0.2066 0.8738 0.06 0.00 0.94
#> D3en4_8 3 0.0000 0.9116 0.00 0.00 1.00
#> D3en4_9 3 0.2959 0.8436 0.10 0.00 0.90
#> D3en4_14 3 0.0000 0.9116 0.00 0.00 1.00
#> D3en4_25 1 0.4555 0.7342 0.80 0.00 0.20
#> D3en4_26 1 0.3340 0.8225 0.88 0.00 0.12
#> D3en4_30 1 0.0000 0.9180 1.00 0.00 0.00
#> D3en4_39 3 0.4555 0.7390 0.20 0.00 0.80
#> D3en4_46 1 0.0000 0.9180 1.00 0.00 0.00
#> D3en4_48 1 0.0000 0.9180 1.00 0.00 0.00
#> D3en4_54 3 0.0000 0.9116 0.00 0.00 1.00
#> D3en4_60 1 0.3686 0.8033 0.86 0.00 0.14
#> D3en4_72 3 0.0000 0.9116 0.00 0.00 1.00
#> D3en4_87 3 0.6045 0.4152 0.38 0.00 0.62
#> D3en4_92 3 0.5397 0.6250 0.28 0.00 0.72
#> D3ex_6 3 0.0000 0.9116 0.00 0.00 1.00
#> D3ex_71 1 0.0000 0.9180 1.00 0.00 0.00
#> D3ex_76 3 0.0000 0.9116 0.00 0.00 1.00
#> D74_7 2 0.0000 0.9685 0.00 1.00 0.00
#> D74_14 1 0.0000 0.9180 1.00 0.00 0.00
#> D74_76 1 0.0000 0.9180 1.00 0.00 0.00
#> D74_90 3 0.0000 0.9116 0.00 0.00 1.00
#> D71_5 3 0.0000 0.9116 0.00 0.00 1.00
#> D71_10 3 0.0000 0.9116 0.00 0.00 1.00
#> D71_34 3 0.0000 0.9116 0.00 0.00 1.00
#> D71_39 2 0.0892 0.9517 0.00 0.98 0.02
#> D71_78 1 0.0000 0.9180 1.00 0.00 0.00
#> D71_92 1 0.0000 0.9180 1.00 0.00 0.00
#> D72_33 3 0.0000 0.9116 0.00 0.00 1.00
#> D73_68 3 0.0000 0.9116 0.00 0.00 1.00
#> D10631_29 1 0.6126 0.3388 0.60 0.00 0.40
#> D10631_53 1 0.0000 0.9180 1.00 0.00 0.00
#> D10631_57 1 0.6192 0.3133 0.58 0.00 0.42
#> D10631_66 3 0.0000 0.9116 0.00 0.00 1.00
#> D10631_67 3 0.6045 0.3657 0.38 0.00 0.62
#> D10631_69 1 0.0000 0.9180 1.00 0.00 0.00
#> D10631_70 2 0.0000 0.9685 0.00 1.00 0.00
#> D10631_91 3 0.6045 0.3598 0.38 0.00 0.62
#> D10631_95 1 0.0000 0.9180 1.00 0.00 0.00
#> D10631_96 1 0.0000 0.9180 1.00 0.00 0.00
#> D101_7 1 0.0000 0.9180 1.00 0.00 0.00
#> D101_48 2 0.0000 0.9685 0.00 1.00 0.00
#> D101_50 1 0.0000 0.9180 1.00 0.00 0.00
#> D101_74 1 0.6302 0.0386 0.52 0.48 0.00
#> D1713_8 3 0.4291 0.7662 0.18 0.00 0.82
#> D1713_15 3 0.2959 0.8374 0.10 0.00 0.90
#> D1713_23 2 0.0000 0.9685 0.00 1.00 0.00
#> D1713_33 3 0.0000 0.9116 0.00 0.00 1.00
#> D1713_34 2 0.0000 0.9685 0.00 1.00 0.00
#> D1713_38 2 0.0000 0.9685 0.00 1.00 0.00
#> D1713_40 2 0.0000 0.9685 0.00 1.00 0.00
#> D1713_50 3 0.0000 0.9116 0.00 0.00 1.00
#> D1713_51 2 0.0000 0.9685 0.00 1.00 0.00
#> D1713_55 2 0.0000 0.9685 0.00 1.00 0.00
#> D1713_58 1 0.0000 0.9180 1.00 0.00 0.00
#> D1713_63 1 0.0000 0.9180 1.00 0.00 0.00
#> D1713_67 3 0.0000 0.9116 0.00 0.00 1.00
#> D1713_70 1 0.0000 0.9180 1.00 0.00 0.00
#> D1713_71 2 0.4555 0.7419 0.20 0.80 0.00
#> D1713_73 2 0.0000 0.9685 0.00 1.00 0.00
#> D1713_76 2 0.0000 0.9685 0.00 1.00 0.00
#> D172444_19 3 0.0000 0.9116 0.00 0.00 1.00
#> D17All1_25 2 0.0000 0.9685 0.00 1.00 0.00
#> D17All1_50 3 0.0000 0.9116 0.00 0.00 1.00
#> D17All1_68 2 0.0000 0.9685 0.00 1.00 0.00
#> D17All2_83 2 0.0000 0.9685 0.00 1.00 0.00
#> D17All2_93 2 0.0000 0.9685 0.00 1.00 0.00
#> D17TGFB_8 1 0.0000 0.9180 1.00 0.00 0.00
#> D17TGFB_12 3 0.0000 0.9116 0.00 0.00 1.00
#> D17TGFB_36 3 0.5016 0.6657 0.24 0.00 0.76
#> D17TGFB_37 1 0.0000 0.9180 1.00 0.00 0.00
#> D17TGFB_39 1 0.3340 0.8213 0.88 0.00 0.12
#> D17TGFB_47 1 0.5216 0.6617 0.74 0.00 0.26
#> D17TGFB_51 1 0.0000 0.9180 1.00 0.00 0.00
#> D17TGFB_56 1 0.0000 0.9180 1.00 0.00 0.00
#> D17TGFB_59 1 0.5016 0.6674 0.76 0.00 0.24
#> D17TGFB_61 1 0.0000 0.9180 1.00 0.00 0.00
#> D17TGFB_67 1 0.5216 0.6592 0.74 0.00 0.26
#> D17TGFB_74 1 0.0000 0.9180 1.00 0.00 0.00
#> D17TGFB_76 3 0.5560 0.5588 0.30 0.00 0.70
#> D17TGFB_77 2 0.0000 0.9685 0.00 1.00 0.00
#> D17TGFB_85 1 0.0000 0.9180 1.00 0.00 0.00
#> D17TGFB_89 1 0.5835 0.5150 0.66 0.00 0.34
#> D17TGFB_92 1 0.0000 0.9180 1.00 0.00 0.00
#> D17TGFB_93 1 0.0000 0.9180 1.00 0.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_16 3 0.3400 0.8235 0.00 0.00 0.82 0.18
#> D2ex_18 4 0.2647 0.7487 0.00 0.00 0.12 0.88
#> D2ex_34 4 0.3400 0.8006 0.18 0.00 0.00 0.82
#> D2ex_44 3 0.2647 0.8628 0.00 0.00 0.88 0.12
#> D2ex_46 4 0.5402 0.6734 0.02 0.16 0.06 0.76
#> D2ex_51 4 0.3172 0.8137 0.16 0.00 0.00 0.84
#> D2ex_69 4 0.2647 0.8150 0.12 0.00 0.00 0.88
#> D2ex_70 4 0.3172 0.8137 0.16 0.00 0.00 0.84
#> D2ex_79 4 0.2921 0.8161 0.14 0.00 0.00 0.86
#> D2ex_90 3 0.1211 0.8753 0.00 0.00 0.96 0.04
#> D2ex_92 3 0.4406 0.6551 0.00 0.00 0.70 0.30
#> D3en1_45 4 0.3247 0.7873 0.06 0.00 0.06 0.88
#> D3en2_23 4 0.2345 0.8186 0.10 0.00 0.00 0.90
#> D3en2_74 3 0.2011 0.8731 0.00 0.00 0.92 0.08
#> D3en3_46 3 0.2345 0.8656 0.00 0.00 0.90 0.10
#> D3en3_72 3 0.2647 0.8617 0.00 0.00 0.88 0.12
#> D3en4_7 4 0.3975 0.6285 0.00 0.00 0.24 0.76
#> D3en4_8 3 0.3172 0.8389 0.00 0.00 0.84 0.16
#> D3en4_9 4 0.2011 0.7801 0.00 0.00 0.08 0.92
#> D3en4_14 3 0.4713 0.5832 0.00 0.00 0.64 0.36
#> D3en4_25 4 0.3247 0.7873 0.06 0.00 0.06 0.88
#> D3en4_26 4 0.2335 0.8011 0.06 0.00 0.02 0.92
#> D3en4_30 4 0.2921 0.8161 0.14 0.00 0.00 0.86
#> D3en4_39 4 0.2011 0.7801 0.00 0.00 0.08 0.92
#> D3en4_46 4 0.3172 0.8137 0.16 0.00 0.00 0.84
#> D3en4_48 4 0.2011 0.8190 0.08 0.00 0.00 0.92
#> D3en4_54 3 0.2647 0.8617 0.00 0.00 0.88 0.12
#> D3en4_60 4 0.2830 0.7954 0.06 0.00 0.04 0.90
#> D3en4_72 3 0.4713 0.5799 0.00 0.00 0.64 0.36
#> D3en4_87 4 0.3335 0.7610 0.02 0.00 0.12 0.86
#> D3en4_92 4 0.2647 0.7583 0.00 0.00 0.12 0.88
#> D3ex_6 3 0.1637 0.8811 0.00 0.00 0.94 0.06
#> D3ex_71 4 0.2647 0.8150 0.12 0.00 0.00 0.88
#> D3ex_76 3 0.2647 0.8617 0.00 0.00 0.88 0.12
#> D74_7 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D74_14 1 0.2345 0.7502 0.90 0.00 0.00 0.10
#> D74_76 1 0.4948 0.0566 0.56 0.00 0.00 0.44
#> D74_90 3 0.1211 0.8788 0.00 0.00 0.96 0.04
#> D71_5 3 0.0707 0.8845 0.00 0.00 0.98 0.02
#> D71_10 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D71_34 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D71_39 2 0.4755 0.7201 0.00 0.76 0.04 0.20
#> D71_78 4 0.3975 0.7455 0.24 0.00 0.00 0.76
#> D71_92 4 0.3975 0.7630 0.24 0.00 0.00 0.76
#> D72_33 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D73_68 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D10631_29 1 0.3975 0.6741 0.76 0.00 0.24 0.00
#> D10631_53 1 0.0000 0.7972 1.00 0.00 0.00 0.00
#> D10631_57 1 0.6449 0.5855 0.64 0.00 0.14 0.22
#> D10631_66 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D10631_67 1 0.5820 0.5941 0.68 0.00 0.24 0.08
#> D10631_69 1 0.2921 0.7376 0.86 0.00 0.00 0.14
#> D10631_70 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D10631_91 3 0.6720 0.3371 0.30 0.00 0.58 0.12
#> D10631_95 1 0.3400 0.7160 0.82 0.00 0.00 0.18
#> D10631_96 1 0.0000 0.7972 1.00 0.00 0.00 0.00
#> D101_7 1 0.0000 0.7972 1.00 0.00 0.00 0.00
#> D101_48 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D101_50 1 0.0707 0.7962 0.98 0.00 0.02 0.00
#> D101_74 1 0.5784 0.6253 0.70 0.20 0.00 0.10
#> D1713_8 3 0.6656 0.4909 0.22 0.00 0.62 0.16
#> D1713_15 3 0.5175 0.7018 0.12 0.00 0.76 0.12
#> D1713_23 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D1713_33 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D1713_34 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D1713_38 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D1713_40 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D1713_50 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D1713_51 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D1713_55 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D1713_58 4 0.3172 0.7953 0.16 0.00 0.00 0.84
#> D1713_63 1 0.4948 0.0547 0.56 0.00 0.00 0.44
#> D1713_67 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D1713_70 1 0.3400 0.6807 0.82 0.00 0.00 0.18
#> D1713_71 1 0.5570 0.2344 0.54 0.44 0.00 0.02
#> D1713_73 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D1713_76 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D172444_19 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D17All1_25 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D17All1_50 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D17All1_68 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D17All2_83 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D17All2_93 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D17TGFB_8 1 0.0000 0.7972 1.00 0.00 0.00 0.00
#> D17TGFB_12 3 0.0000 0.8863 0.00 0.00 1.00 0.00
#> D17TGFB_36 1 0.5784 0.6237 0.70 0.00 0.20 0.10
#> D17TGFB_37 1 0.2647 0.7526 0.88 0.00 0.00 0.12
#> D17TGFB_39 1 0.1913 0.7858 0.94 0.00 0.02 0.04
#> D17TGFB_47 1 0.3935 0.7405 0.84 0.00 0.06 0.10
#> D17TGFB_51 1 0.2345 0.7583 0.90 0.00 0.00 0.10
#> D17TGFB_56 1 0.0000 0.7972 1.00 0.00 0.00 0.00
#> D17TGFB_59 1 0.7355 0.5296 0.58 0.02 0.26 0.14
#> D17TGFB_61 4 0.4790 0.4947 0.38 0.00 0.00 0.62
#> D17TGFB_67 1 0.3198 0.7624 0.88 0.00 0.04 0.08
#> D17TGFB_74 1 0.0000 0.7972 1.00 0.00 0.00 0.00
#> D17TGFB_76 1 0.4731 0.7152 0.78 0.00 0.16 0.06
#> D17TGFB_77 2 0.0000 0.9855 0.00 1.00 0.00 0.00
#> D17TGFB_85 4 0.4977 0.2579 0.46 0.00 0.00 0.54
#> D17TGFB_89 1 0.4731 0.7152 0.78 0.00 0.16 0.06
#> D17TGFB_92 1 0.0707 0.7962 0.98 0.00 0.02 0.00
#> D17TGFB_93 1 0.0000 0.7972 1.00 0.00 0.00 0.00
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 99 9.29e-03 2
#> ATC:skmeans 95 2.26e-02 3
#> ATC:skmeans 94 1.09e-10 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node02. Child nodes: Node0111-leaf , Node0112 , Node0121-leaf , Node0122-leaf , Node0123-leaf , Node0131-leaf , Node0132 , Node0211 , Node0212 , Node0221 , Node0222 , Node0223-leaf , Node0231-leaf , Node0232 , Node0233 .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["023"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 9070 rows and 254 columns.
#> Top rows (907) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 4.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.829 0.913 0.963 0.482 0.513 0.513
#> 3 3 1.000 0.979 0.991 0.334 0.642 0.417
#> 4 4 0.905 0.886 0.951 0.163 0.855 0.615
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 4
#> attr(,"optional")
#> [1] 3
There is also optional best \(k\) = 3 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_1 1 0.000 0.9738 1.00 0.00
#> D2ex_2 1 0.760 0.7029 0.78 0.22
#> D2ex_3 1 0.000 0.9738 1.00 0.00
#> D2ex_5 1 0.000 0.9738 1.00 0.00
#> D2ex_6 1 0.000 0.9738 1.00 0.00
#> D2ex_7 1 0.000 0.9738 1.00 0.00
#> D2ex_8 1 0.000 0.9738 1.00 0.00
#> D2ex_10 1 0.000 0.9738 1.00 0.00
#> D2ex_11 2 0.000 0.9419 0.00 1.00
#> D2ex_12 1 0.000 0.9738 1.00 0.00
#> D2ex_15 1 0.000 0.9738 1.00 0.00
#> D2ex_17 2 0.000 0.9419 0.00 1.00
#> D2ex_19 1 0.000 0.9738 1.00 0.00
#> D2ex_20 2 0.000 0.9419 0.00 1.00
#> D2ex_21 1 0.000 0.9738 1.00 0.00
#> D2ex_22 2 0.000 0.9419 0.00 1.00
#> D2ex_24 1 0.000 0.9738 1.00 0.00
#> D2ex_25 1 0.327 0.9144 0.94 0.06
#> D2ex_26 1 0.000 0.9738 1.00 0.00
#> D2ex_27 2 0.242 0.9164 0.04 0.96
#> D2ex_28 1 0.981 0.2168 0.58 0.42
#> D2ex_30 1 0.000 0.9738 1.00 0.00
#> D2ex_33 1 0.000 0.9738 1.00 0.00
#> D2ex_35 2 0.000 0.9419 0.00 1.00
#> D2ex_36 1 0.000 0.9738 1.00 0.00
#> D2ex_37 1 0.000 0.9738 1.00 0.00
#> D2ex_40 1 0.000 0.9738 1.00 0.00
#> D2ex_41 1 0.000 0.9738 1.00 0.00
#> D2ex_47 2 0.000 0.9419 0.00 1.00
#> D2ex_52 2 0.000 0.9419 0.00 1.00
#> D2ex_53 1 0.000 0.9738 1.00 0.00
#> D2ex_55 1 0.000 0.9738 1.00 0.00
#> D2ex_56 1 0.000 0.9738 1.00 0.00
#> D2ex_57 2 0.999 0.1575 0.48 0.52
#> D2ex_58 2 0.000 0.9419 0.00 1.00
#> D2ex_59 1 0.000 0.9738 1.00 0.00
#> D2ex_62 1 0.000 0.9738 1.00 0.00
#> D2ex_72 2 0.000 0.9419 0.00 1.00
#> D2ex_73 2 0.000 0.9419 0.00 1.00
#> D2ex_74 2 0.000 0.9419 0.00 1.00
#> D2ex_75 2 0.469 0.8688 0.10 0.90
#> D2ex_82 2 0.000 0.9419 0.00 1.00
#> D2ex_84 2 0.000 0.9419 0.00 1.00
#> D2ex_85 2 0.000 0.9419 0.00 1.00
#> D2ex_86 1 0.000 0.9738 1.00 0.00
#> D2ex_87 1 0.000 0.9738 1.00 0.00
#> D2ex_88 1 0.722 0.7275 0.80 0.20
#> D3en1_5 1 0.000 0.9738 1.00 0.00
#> D3en1_10 1 0.000 0.9738 1.00 0.00
#> D3en1_11 1 0.000 0.9738 1.00 0.00
#> D3en1_13 1 0.000 0.9738 1.00 0.00
#> D3en1_26 2 0.469 0.8660 0.10 0.90
#> D3en1_30 1 0.000 0.9738 1.00 0.00
#> D3en1_37 1 0.000 0.9738 1.00 0.00
#> D3en1_41 1 0.000 0.9738 1.00 0.00
#> D3en1_49 1 0.000 0.9738 1.00 0.00
#> D3en1_68 1 0.000 0.9738 1.00 0.00
#> D3en1_71 1 0.000 0.9738 1.00 0.00
#> D3en1_73 1 0.000 0.9738 1.00 0.00
#> D3en1_75 1 0.000 0.9738 1.00 0.00
#> D3en1_87 1 0.000 0.9738 1.00 0.00
#> D3en1_88 1 0.000 0.9738 1.00 0.00
#> D3en2_5 1 0.000 0.9738 1.00 0.00
#> D3en2_6 1 0.000 0.9738 1.00 0.00
#> D3en2_16 1 0.000 0.9738 1.00 0.00
#> D3en2_21 1 0.000 0.9738 1.00 0.00
#> D3en2_25 1 0.000 0.9738 1.00 0.00
#> D3en2_26 1 0.000 0.9738 1.00 0.00
#> D3en2_27 1 0.000 0.9738 1.00 0.00
#> D3en2_31 1 0.000 0.9738 1.00 0.00
#> D3en2_32 1 0.000 0.9738 1.00 0.00
#> D3en2_33 1 0.000 0.9738 1.00 0.00
#> D3en2_37 1 0.000 0.9738 1.00 0.00
#> D3en2_39 1 0.000 0.9738 1.00 0.00
#> D3en2_42 1 0.000 0.9738 1.00 0.00
#> D3en2_45 1 0.000 0.9738 1.00 0.00
#> D3en2_48 1 0.000 0.9738 1.00 0.00
#> D3en2_60 1 0.000 0.9738 1.00 0.00
#> D3en2_66 1 0.000 0.9738 1.00 0.00
#> D3en2_68 2 0.000 0.9419 0.00 1.00
#> D3en2_71 2 0.000 0.9419 0.00 1.00
#> D3en2_72 1 0.000 0.9738 1.00 0.00
#> D3en2_90 1 0.000 0.9738 1.00 0.00
#> D3en3_2 1 0.000 0.9738 1.00 0.00
#> D3en3_9 1 0.000 0.9738 1.00 0.00
#> D3en3_39 1 0.000 0.9738 1.00 0.00
#> D3en3_64 1 0.000 0.9738 1.00 0.00
#> D3en3_68 2 0.000 0.9419 0.00 1.00
#> D3en3_87 1 0.000 0.9738 1.00 0.00
#> D3en4_6 1 0.000 0.9738 1.00 0.00
#> D3en4_12 1 0.000 0.9738 1.00 0.00
#> D3en4_20 1 0.000 0.9738 1.00 0.00
#> D3en4_23 2 0.000 0.9419 0.00 1.00
#> D3en4_31 1 0.000 0.9738 1.00 0.00
#> D3en4_32 1 0.402 0.8903 0.92 0.08
#> D3en4_35 1 0.000 0.9738 1.00 0.00
#> D3en4_42 1 0.000 0.9738 1.00 0.00
#> D3en4_61 1 0.990 0.1459 0.56 0.44
#> D3en4_64 2 0.000 0.9419 0.00 1.00
#> D3en4_73 2 0.000 0.9419 0.00 1.00
#> D3en4_74 2 0.000 0.9419 0.00 1.00
#> D3en4_83 1 0.000 0.9738 1.00 0.00
#> D3ex_5 1 0.000 0.9738 1.00 0.00
#> D3ex_9 1 0.000 0.9738 1.00 0.00
#> D3ex_34 2 0.000 0.9419 0.00 1.00
#> D3ex_36 1 0.000 0.9738 1.00 0.00
#> D3ex_74 1 0.000 0.9738 1.00 0.00
#> D3ex_83 2 0.141 0.9296 0.02 0.98
#> D3ex_91 2 0.680 0.8003 0.18 0.82
#> D74_6 2 0.000 0.9419 0.00 1.00
#> D74_13 2 0.000 0.9419 0.00 1.00
#> D74_15 2 0.000 0.9419 0.00 1.00
#> D74_17 2 0.827 0.6902 0.26 0.74
#> D74_18 1 0.469 0.8677 0.90 0.10
#> D74_27 2 0.000 0.9419 0.00 1.00
#> D74_31 1 0.000 0.9738 1.00 0.00
#> D74_34 1 0.000 0.9738 1.00 0.00
#> D74_37 1 0.000 0.9738 1.00 0.00
#> D74_43 2 0.000 0.9419 0.00 1.00
#> D74_44 1 0.000 0.9738 1.00 0.00
#> D74_45 2 0.402 0.8933 0.08 0.92
#> D74_46 2 0.000 0.9419 0.00 1.00
#> D74_47 1 0.000 0.9738 1.00 0.00
#> D74_63 2 0.722 0.7758 0.20 0.80
#> D74_79 1 0.000 0.9738 1.00 0.00
#> D74_94 1 0.995 0.0692 0.54 0.46
#> D71_2 1 0.000 0.9738 1.00 0.00
#> D71_6 1 0.000 0.9738 1.00 0.00
#> D71_12 1 0.000 0.9738 1.00 0.00
#> D71_16 1 0.000 0.9738 1.00 0.00
#> D71_18 1 0.000 0.9738 1.00 0.00
#> D71_22 2 0.795 0.7236 0.24 0.76
#> D71_27 2 0.634 0.8231 0.16 0.84
#> D71_31 1 0.000 0.9738 1.00 0.00
#> D71_33 2 0.634 0.8231 0.16 0.84
#> D71_41 1 0.000 0.9738 1.00 0.00
#> D71_52 1 0.000 0.9738 1.00 0.00
#> D71_53 2 0.000 0.9419 0.00 1.00
#> D71_56 1 0.000 0.9738 1.00 0.00
#> D71_58 2 0.634 0.8231 0.16 0.84
#> D71_64 2 0.000 0.9419 0.00 1.00
#> D71_65 2 0.634 0.8231 0.16 0.84
#> D71_66 1 0.958 0.3393 0.62 0.38
#> D71_67 2 0.469 0.8758 0.10 0.90
#> D71_68 1 0.141 0.9548 0.98 0.02
#> D71_70 1 0.000 0.9738 1.00 0.00
#> D71_72 1 0.000 0.9738 1.00 0.00
#> D71_75 2 0.990 0.2895 0.44 0.56
#> D71_81 1 0.000 0.9738 1.00 0.00
#> D71_85 2 0.634 0.8231 0.16 0.84
#> D72_1 1 0.000 0.9738 1.00 0.00
#> D72_4 2 0.000 0.9419 0.00 1.00
#> D72_18 1 0.000 0.9738 1.00 0.00
#> D72_22 1 0.000 0.9738 1.00 0.00
#> D72_31 2 0.000 0.9419 0.00 1.00
#> D72_37 2 0.634 0.8231 0.16 0.84
#> D72_43 2 0.000 0.9419 0.00 1.00
#> D72_49 1 0.000 0.9738 1.00 0.00
#> D72_53 2 0.971 0.4018 0.40 0.60
#> D72_61 1 0.000 0.9738 1.00 0.00
#> D72_65 1 0.000 0.9738 1.00 0.00
#> D72_66 1 0.000 0.9738 1.00 0.00
#> D72_68 1 0.000 0.9738 1.00 0.00
#> D72_72 1 0.000 0.9738 1.00 0.00
#> D72_76 1 0.000 0.9738 1.00 0.00
#> D72_78 2 0.000 0.9419 0.00 1.00
#> D72_82 1 0.000 0.9738 1.00 0.00
#> D72_86 2 0.000 0.9419 0.00 1.00
#> D72_95 1 0.000 0.9738 1.00 0.00
#> D73_2 1 0.000 0.9738 1.00 0.00
#> D73_8 1 0.000 0.9738 1.00 0.00
#> D73_11 1 0.722 0.7269 0.80 0.20
#> D73_16 1 0.000 0.9738 1.00 0.00
#> D73_18 1 0.000 0.9738 1.00 0.00
#> D73_19 2 0.760 0.7498 0.22 0.78
#> D73_24 2 0.000 0.9419 0.00 1.00
#> D73_25 2 0.000 0.9419 0.00 1.00
#> D73_26 1 0.000 0.9738 1.00 0.00
#> D73_29 2 0.634 0.8231 0.16 0.84
#> D73_34 2 0.000 0.9419 0.00 1.00
#> D73_35 1 0.000 0.9738 1.00 0.00
#> D73_39 1 0.000 0.9738 1.00 0.00
#> D73_40 1 0.000 0.9738 1.00 0.00
#> D73_51 2 0.000 0.9419 0.00 1.00
#> D73_52 1 0.000 0.9738 1.00 0.00
#> D73_56 2 0.904 0.5873 0.32 0.68
#> D73_57 2 0.995 0.2260 0.46 0.54
#> D73_60 2 0.529 0.8591 0.12 0.88
#> D73_65 2 0.925 0.5439 0.34 0.66
#> D73_83 1 0.000 0.9738 1.00 0.00
#> D73_84 1 0.000 0.9738 1.00 0.00
#> D10631_15 2 0.000 0.9419 0.00 1.00
#> D10631_17 1 0.000 0.9738 1.00 0.00
#> D10631_24 2 0.000 0.9419 0.00 1.00
#> D10631_45 2 0.000 0.9419 0.00 1.00
#> D10631_48 2 0.000 0.9419 0.00 1.00
#> D10631_54 1 0.000 0.9738 1.00 0.00
#> D10631_56 2 0.000 0.9419 0.00 1.00
#> D10631_65 2 0.000 0.9419 0.00 1.00
#> D10631_68 2 0.000 0.9419 0.00 1.00
#> D10631_90 2 0.000 0.9419 0.00 1.00
#> D10631_92 1 0.999 -0.0132 0.52 0.48
#> D101_21 2 0.000 0.9419 0.00 1.00
#> D101_24 1 0.000 0.9738 1.00 0.00
#> D102_21 2 0.000 0.9419 0.00 1.00
#> D102_26 1 0.000 0.9738 1.00 0.00
#> D102_78 1 0.000 0.9738 1.00 0.00
#> D102_91 1 0.000 0.9738 1.00 0.00
#> D1713_5 1 0.000 0.9738 1.00 0.00
#> D1713_17 2 0.634 0.8231 0.16 0.84
#> D1713_28 1 0.327 0.9140 0.94 0.06
#> D1713_30 2 0.000 0.9419 0.00 1.00
#> D1713_31 2 0.000 0.9419 0.00 1.00
#> D1713_32 2 0.000 0.9419 0.00 1.00
#> D1713_35 1 0.000 0.9738 1.00 0.00
#> D1713_41 2 0.000 0.9419 0.00 1.00
#> D1713_46 2 0.000 0.9419 0.00 1.00
#> D1713_49 2 0.000 0.9419 0.00 1.00
#> D1713_57 2 0.000 0.9419 0.00 1.00
#> D1713_66 2 0.000 0.9419 0.00 1.00
#> D1713_80 1 0.000 0.9738 1.00 0.00
#> D1713_84 1 0.981 0.2181 0.58 0.42
#> D1713_86 2 0.000 0.9419 0.00 1.00
#> D1713_87 2 0.000 0.9419 0.00 1.00
#> D1713_88 2 0.634 0.8231 0.16 0.84
#> D1713_92 2 0.000 0.9419 0.00 1.00
#> D1713_93 2 0.000 0.9419 0.00 1.00
#> D1713_94 2 0.000 0.9419 0.00 1.00
#> D172444_39 2 0.000 0.9419 0.00 1.00
#> D17All1_16 2 0.634 0.8231 0.16 0.84
#> D17All1_26 2 0.000 0.9419 0.00 1.00
#> D17All1_29 2 0.000 0.9419 0.00 1.00
#> D17All1_44 2 0.141 0.9307 0.02 0.98
#> D17All1_53 1 0.000 0.9738 1.00 0.00
#> D17All1_79 1 0.000 0.9738 1.00 0.00
#> D17All2_4 2 0.327 0.9062 0.06 0.94
#> D17All2_29 2 0.000 0.9419 0.00 1.00
#> D17All2_54 2 0.000 0.9419 0.00 1.00
#> D17All2_66 1 0.000 0.9738 1.00 0.00
#> D17TGFB_5 2 0.000 0.9419 0.00 1.00
#> D17TGFB_7 2 0.000 0.9419 0.00 1.00
#> D17TGFB_24 1 0.242 0.9352 0.96 0.04
#> D17TGFB_27 2 0.000 0.9419 0.00 1.00
#> D17TGFB_31 1 0.000 0.9738 1.00 0.00
#> D17TGFB_33 2 0.000 0.9419 0.00 1.00
#> D17TGFB_34 2 0.000 0.9419 0.00 1.00
#> D17TGFB_38 1 0.000 0.9738 1.00 0.00
#> D17TGFB_41 2 0.000 0.9419 0.00 1.00
#> D17TGFB_44 1 0.000 0.9738 1.00 0.00
#> D17TGFB_45 1 0.000 0.9738 1.00 0.00
#> D17TGFB_49 1 0.000 0.9738 1.00 0.00
#> D17TGFB_55 2 0.000 0.9419 0.00 1.00
#> D17TGFB_57 1 0.000 0.9738 1.00 0.00
#> D17TGFB_79 2 0.000 0.9419 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_1 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_2 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_3 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_5 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_6 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_7 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_8 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_10 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_11 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_12 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_15 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_17 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_19 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_20 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_21 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_22 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_24 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_25 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_26 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_27 2 0.5216 0.654 0.00 0.74 0.26
#> D2ex_28 3 0.1529 0.951 0.04 0.00 0.96
#> D2ex_30 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_33 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_35 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_36 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_37 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_40 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_41 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_47 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_52 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_53 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_55 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_56 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_57 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_58 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_59 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_62 3 0.0000 0.991 0.00 0.00 1.00
#> D2ex_72 2 0.0892 0.966 0.00 0.98 0.02
#> D2ex_73 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_74 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_75 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_82 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_84 2 0.0000 0.986 0.00 1.00 0.00
#> D2ex_85 3 0.2066 0.931 0.00 0.06 0.94
#> D2ex_86 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_87 1 0.0000 0.994 1.00 0.00 0.00
#> D2ex_88 3 0.0000 0.991 0.00 0.00 1.00
#> D3en1_5 1 0.0000 0.994 1.00 0.00 0.00
#> D3en1_10 1 0.0000 0.994 1.00 0.00 0.00
#> D3en1_11 1 0.0000 0.994 1.00 0.00 0.00
#> D3en1_13 1 0.0000 0.994 1.00 0.00 0.00
#> D3en1_26 2 0.0892 0.968 0.02 0.98 0.00
#> D3en1_30 3 0.0000 0.991 0.00 0.00 1.00
#> D3en1_37 1 0.0000 0.994 1.00 0.00 0.00
#> D3en1_41 1 0.0000 0.994 1.00 0.00 0.00
#> D3en1_49 1 0.0000 0.994 1.00 0.00 0.00
#> D3en1_68 1 0.0000 0.994 1.00 0.00 0.00
#> D3en1_71 3 0.0000 0.991 0.00 0.00 1.00
#> D3en1_73 1 0.0000 0.994 1.00 0.00 0.00
#> D3en1_75 3 0.0000 0.991 0.00 0.00 1.00
#> D3en1_87 3 0.0000 0.991 0.00 0.00 1.00
#> D3en1_88 3 0.0000 0.991 0.00 0.00 1.00
#> D3en2_5 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_6 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_16 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_21 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_25 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_26 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_27 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_31 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_32 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_33 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_37 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_39 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_42 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_45 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_48 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_60 3 0.0000 0.991 0.00 0.00 1.00
#> D3en2_66 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_68 2 0.0000 0.986 0.00 1.00 0.00
#> D3en2_71 2 0.0000 0.986 0.00 1.00 0.00
#> D3en2_72 1 0.0000 0.994 1.00 0.00 0.00
#> D3en2_90 1 0.0000 0.994 1.00 0.00 0.00
#> D3en3_2 1 0.0000 0.994 1.00 0.00 0.00
#> D3en3_9 1 0.0000 0.994 1.00 0.00 0.00
#> D3en3_39 1 0.0000 0.994 1.00 0.00 0.00
#> D3en3_64 1 0.0000 0.994 1.00 0.00 0.00
#> D3en3_68 2 0.0000 0.986 0.00 1.00 0.00
#> D3en3_87 3 0.0000 0.991 0.00 0.00 1.00
#> D3en4_6 1 0.6126 0.328 0.60 0.00 0.40
#> D3en4_12 1 0.0000 0.994 1.00 0.00 0.00
#> D3en4_20 1 0.0000 0.994 1.00 0.00 0.00
#> D3en4_23 2 0.0000 0.986 0.00 1.00 0.00
#> D3en4_31 1 0.0000 0.994 1.00 0.00 0.00
#> D3en4_32 1 0.0000 0.994 1.00 0.00 0.00
#> D3en4_35 1 0.0000 0.994 1.00 0.00 0.00
#> D3en4_42 1 0.0000 0.994 1.00 0.00 0.00
#> D3en4_61 3 0.0000 0.991 0.00 0.00 1.00
#> D3en4_64 2 0.0000 0.986 0.00 1.00 0.00
#> D3en4_73 2 0.0000 0.986 0.00 1.00 0.00
#> D3en4_74 2 0.0000 0.986 0.00 1.00 0.00
#> D3en4_83 1 0.0000 0.994 1.00 0.00 0.00
#> D3ex_5 1 0.0000 0.994 1.00 0.00 0.00
#> D3ex_9 3 0.0000 0.991 0.00 0.00 1.00
#> D3ex_34 2 0.0000 0.986 0.00 1.00 0.00
#> D3ex_36 1 0.0000 0.994 1.00 0.00 0.00
#> D3ex_74 1 0.0000 0.994 1.00 0.00 0.00
#> D3ex_83 2 0.0000 0.986 0.00 1.00 0.00
#> D3ex_91 3 0.0000 0.991 0.00 0.00 1.00
#> D74_6 2 0.0000 0.986 0.00 1.00 0.00
#> D74_13 3 0.4002 0.810 0.00 0.16 0.84
#> D74_15 2 0.0000 0.986 0.00 1.00 0.00
#> D74_17 3 0.0000 0.991 0.00 0.00 1.00
#> D74_18 3 0.0000 0.991 0.00 0.00 1.00
#> D74_27 3 0.0000 0.991 0.00 0.00 1.00
#> D74_31 3 0.0000 0.991 0.00 0.00 1.00
#> D74_34 3 0.2959 0.883 0.10 0.00 0.90
#> D74_37 3 0.0000 0.991 0.00 0.00 1.00
#> D74_43 3 0.0000 0.991 0.00 0.00 1.00
#> D74_44 3 0.0000 0.991 0.00 0.00 1.00
#> D74_45 3 0.5835 0.485 0.00 0.34 0.66
#> D74_46 2 0.0000 0.986 0.00 1.00 0.00
#> D74_47 3 0.0000 0.991 0.00 0.00 1.00
#> D74_63 3 0.0000 0.991 0.00 0.00 1.00
#> D74_79 3 0.0000 0.991 0.00 0.00 1.00
#> D74_94 3 0.0000 0.991 0.00 0.00 1.00
#> D71_2 1 0.0000 0.994 1.00 0.00 0.00
#> D71_6 3 0.0000 0.991 0.00 0.00 1.00
#> D71_12 3 0.0000 0.991 0.00 0.00 1.00
#> D71_16 1 0.0000 0.994 1.00 0.00 0.00
#> D71_18 3 0.0000 0.991 0.00 0.00 1.00
#> D71_22 3 0.0000 0.991 0.00 0.00 1.00
#> D71_27 3 0.0000 0.991 0.00 0.00 1.00
#> D71_31 3 0.0000 0.991 0.00 0.00 1.00
#> D71_33 3 0.0000 0.991 0.00 0.00 1.00
#> D71_41 3 0.0000 0.991 0.00 0.00 1.00
#> D71_52 3 0.0000 0.991 0.00 0.00 1.00
#> D71_53 2 0.0000 0.986 0.00 1.00 0.00
#> D71_56 3 0.0000 0.991 0.00 0.00 1.00
#> D71_58 3 0.0000 0.991 0.00 0.00 1.00
#> D71_64 3 0.0000 0.991 0.00 0.00 1.00
#> D71_65 3 0.0000 0.991 0.00 0.00 1.00
#> D71_66 3 0.0000 0.991 0.00 0.00 1.00
#> D71_67 3 0.0000 0.991 0.00 0.00 1.00
#> D71_68 3 0.0000 0.991 0.00 0.00 1.00
#> D71_70 3 0.0000 0.991 0.00 0.00 1.00
#> D71_72 1 0.0000 0.994 1.00 0.00 0.00
#> D71_75 3 0.0000 0.991 0.00 0.00 1.00
#> D71_81 3 0.0000 0.991 0.00 0.00 1.00
#> D71_85 3 0.0000 0.991 0.00 0.00 1.00
#> D72_1 1 0.0000 0.994 1.00 0.00 0.00
#> D72_4 2 0.5560 0.576 0.00 0.70 0.30
#> D72_18 1 0.0000 0.994 1.00 0.00 0.00
#> D72_22 1 0.0000 0.994 1.00 0.00 0.00
#> D72_31 2 0.0000 0.986 0.00 1.00 0.00
#> D72_37 3 0.0000 0.991 0.00 0.00 1.00
#> D72_43 2 0.0000 0.986 0.00 1.00 0.00
#> D72_49 3 0.0000 0.991 0.00 0.00 1.00
#> D72_53 3 0.0000 0.991 0.00 0.00 1.00
#> D72_61 3 0.0000 0.991 0.00 0.00 1.00
#> D72_65 3 0.0000 0.991 0.00 0.00 1.00
#> D72_66 3 0.0000 0.991 0.00 0.00 1.00
#> D72_68 3 0.0000 0.991 0.00 0.00 1.00
#> D72_72 3 0.0000 0.991 0.00 0.00 1.00
#> D72_76 3 0.0000 0.991 0.00 0.00 1.00
#> D72_78 2 0.0000 0.986 0.00 1.00 0.00
#> D72_82 3 0.0000 0.991 0.00 0.00 1.00
#> D72_86 3 0.0000 0.991 0.00 0.00 1.00
#> D72_95 1 0.0000 0.994 1.00 0.00 0.00
#> D73_2 3 0.0000 0.991 0.00 0.00 1.00
#> D73_8 3 0.0000 0.991 0.00 0.00 1.00
#> D73_11 3 0.0000 0.991 0.00 0.00 1.00
#> D73_16 3 0.0000 0.991 0.00 0.00 1.00
#> D73_18 3 0.0000 0.991 0.00 0.00 1.00
#> D73_19 3 0.0000 0.991 0.00 0.00 1.00
#> D73_24 2 0.0000 0.986 0.00 1.00 0.00
#> D73_25 2 0.0000 0.986 0.00 1.00 0.00
#> D73_26 3 0.0000 0.991 0.00 0.00 1.00
#> D73_29 3 0.0000 0.991 0.00 0.00 1.00
#> D73_34 2 0.0000 0.986 0.00 1.00 0.00
#> D73_35 3 0.0000 0.991 0.00 0.00 1.00
#> D73_39 3 0.0000 0.991 0.00 0.00 1.00
#> D73_40 3 0.0000 0.991 0.00 0.00 1.00
#> D73_51 2 0.0000 0.986 0.00 1.00 0.00
#> D73_52 1 0.0000 0.994 1.00 0.00 0.00
#> D73_56 3 0.0000 0.991 0.00 0.00 1.00
#> D73_57 3 0.0000 0.991 0.00 0.00 1.00
#> D73_60 3 0.0000 0.991 0.00 0.00 1.00
#> D73_65 3 0.0000 0.991 0.00 0.00 1.00
#> D73_83 1 0.0000 0.994 1.00 0.00 0.00
#> D73_84 3 0.1529 0.951 0.04 0.00 0.96
#> D10631_15 2 0.0000 0.986 0.00 1.00 0.00
#> D10631_17 1 0.0000 0.994 1.00 0.00 0.00
#> D10631_24 2 0.0000 0.986 0.00 1.00 0.00
#> D10631_45 2 0.0000 0.986 0.00 1.00 0.00
#> D10631_48 2 0.0000 0.986 0.00 1.00 0.00
#> D10631_54 1 0.0000 0.994 1.00 0.00 0.00
#> D10631_56 2 0.0000 0.986 0.00 1.00 0.00
#> D10631_65 3 0.0000 0.991 0.00 0.00 1.00
#> D10631_68 2 0.0000 0.986 0.00 1.00 0.00
#> D10631_90 3 0.0000 0.991 0.00 0.00 1.00
#> D10631_92 3 0.0000 0.991 0.00 0.00 1.00
#> D101_21 2 0.0000 0.986 0.00 1.00 0.00
#> D101_24 1 0.0000 0.994 1.00 0.00 0.00
#> D102_21 2 0.0000 0.986 0.00 1.00 0.00
#> D102_26 1 0.0000 0.994 1.00 0.00 0.00
#> D102_78 3 0.0000 0.991 0.00 0.00 1.00
#> D102_91 1 0.0000 0.994 1.00 0.00 0.00
#> D1713_5 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_17 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_28 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_30 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_31 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_32 2 0.2959 0.880 0.00 0.90 0.10
#> D1713_35 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_41 2 0.0000 0.986 0.00 1.00 0.00
#> D1713_46 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_49 3 0.2066 0.932 0.00 0.06 0.94
#> D1713_57 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_66 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_80 1 0.0000 0.994 1.00 0.00 0.00
#> D1713_84 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_86 2 0.0000 0.986 0.00 1.00 0.00
#> D1713_87 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_88 3 0.0000 0.991 0.00 0.00 1.00
#> D1713_92 2 0.0000 0.986 0.00 1.00 0.00
#> D1713_93 2 0.0000 0.986 0.00 1.00 0.00
#> D1713_94 2 0.0000 0.986 0.00 1.00 0.00
#> D172444_39 2 0.0000 0.986 0.00 1.00 0.00
#> D17All1_16 3 0.0000 0.991 0.00 0.00 1.00
#> D17All1_26 3 0.0000 0.991 0.00 0.00 1.00
#> D17All1_29 3 0.5216 0.649 0.00 0.26 0.74
#> D17All1_44 3 0.0000 0.991 0.00 0.00 1.00
#> D17All1_53 3 0.0000 0.991 0.00 0.00 1.00
#> D17All1_79 3 0.0000 0.991 0.00 0.00 1.00
#> D17All2_4 3 0.0000 0.991 0.00 0.00 1.00
#> D17All2_29 2 0.0000 0.986 0.00 1.00 0.00
#> D17All2_54 2 0.0000 0.986 0.00 1.00 0.00
#> D17All2_66 3 0.0000 0.991 0.00 0.00 1.00
#> D17TGFB_5 2 0.0000 0.986 0.00 1.00 0.00
#> D17TGFB_7 2 0.0000 0.986 0.00 1.00 0.00
#> D17TGFB_24 3 0.0000 0.991 0.00 0.00 1.00
#> D17TGFB_27 2 0.0000 0.986 0.00 1.00 0.00
#> D17TGFB_31 1 0.0000 0.994 1.00 0.00 0.00
#> D17TGFB_33 2 0.0000 0.986 0.00 1.00 0.00
#> D17TGFB_34 2 0.0000 0.986 0.00 1.00 0.00
#> D17TGFB_38 3 0.0000 0.991 0.00 0.00 1.00
#> D17TGFB_41 2 0.0000 0.986 0.00 1.00 0.00
#> D17TGFB_44 1 0.0000 0.994 1.00 0.00 0.00
#> D17TGFB_45 1 0.0000 0.994 1.00 0.00 0.00
#> D17TGFB_49 1 0.0000 0.994 1.00 0.00 0.00
#> D17TGFB_55 2 0.0000 0.986 0.00 1.00 0.00
#> D17TGFB_57 1 0.0000 0.994 1.00 0.00 0.00
#> D17TGFB_79 2 0.0000 0.986 0.00 1.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_1 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_2 1 0.1211 0.9555 0.96 0.04 0.00 0.00
#> D2ex_3 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_5 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_6 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_7 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_8 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_10 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_11 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_12 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_15 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_17 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_19 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_20 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D2ex_21 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_22 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_24 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_25 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_26 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_27 2 0.5147 0.6946 0.00 0.74 0.20 0.06
#> D2ex_28 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D2ex_30 3 0.2345 0.8292 0.10 0.00 0.90 0.00
#> D2ex_33 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_35 4 0.1211 0.8854 0.00 0.00 0.04 0.96
#> D2ex_36 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_37 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_40 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_41 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_47 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D2ex_52 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_53 1 0.4079 0.7556 0.80 0.02 0.18 0.00
#> D2ex_55 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_56 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_57 4 0.4406 0.6072 0.00 0.00 0.30 0.70
#> D2ex_58 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_59 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_62 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D2ex_72 2 0.5271 0.5007 0.00 0.64 0.02 0.34
#> D2ex_73 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_74 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_75 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_82 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_84 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D2ex_85 4 0.1411 0.8838 0.00 0.02 0.02 0.96
#> D2ex_86 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_87 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D2ex_88 4 0.4790 0.4513 0.00 0.00 0.38 0.62
#> D3en1_5 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en1_10 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en1_11 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en1_13 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en1_26 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D3en1_30 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D3en1_37 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en1_41 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en1_49 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en1_68 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en1_71 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D3en1_73 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en1_75 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D3en1_87 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D3en1_88 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D3en2_5 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_6 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_16 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_21 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_25 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_26 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_27 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_31 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_32 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_33 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_37 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_39 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_42 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_45 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_48 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_60 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D3en2_66 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_68 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D3en2_71 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D3en2_72 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en2_90 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en3_2 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en3_9 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en3_39 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en3_64 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en3_68 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D3en3_87 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D3en4_6 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D3en4_12 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en4_20 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en4_23 2 0.2921 0.8303 0.00 0.86 0.00 0.14
#> D3en4_31 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en4_32 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en4_35 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en4_42 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3en4_61 4 0.1211 0.8895 0.00 0.00 0.04 0.96
#> D3en4_64 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D3en4_73 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D3en4_74 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D3en4_83 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3ex_5 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3ex_9 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D3ex_34 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D3ex_36 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3ex_74 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D3ex_83 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D3ex_91 4 0.0707 0.8934 0.00 0.00 0.02 0.98
#> D74_6 2 0.0707 0.9350 0.00 0.98 0.00 0.02
#> D74_13 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D74_15 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D74_17 4 0.4522 0.5709 0.00 0.00 0.32 0.68
#> D74_18 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D74_27 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D74_31 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D74_34 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D74_37 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D74_43 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D74_44 3 0.1637 0.8808 0.00 0.00 0.94 0.06
#> D74_45 3 0.6201 0.4294 0.00 0.08 0.62 0.30
#> D74_46 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D74_47 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D74_63 4 0.2921 0.8176 0.00 0.00 0.14 0.86
#> D74_79 3 0.0707 0.9156 0.00 0.00 0.98 0.02
#> D74_94 4 0.4855 0.3900 0.00 0.00 0.40 0.60
#> D71_2 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D71_6 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D71_12 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D71_16 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D71_18 3 0.0707 0.9155 0.00 0.00 0.98 0.02
#> D71_22 4 0.4855 0.3841 0.00 0.00 0.40 0.60
#> D71_27 4 0.1211 0.8895 0.00 0.00 0.04 0.96
#> D71_31 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D71_33 4 0.0707 0.8952 0.00 0.00 0.02 0.98
#> D71_41 3 0.1637 0.8814 0.00 0.00 0.94 0.06
#> D71_52 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D71_53 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D71_56 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D71_58 4 0.4907 0.3285 0.00 0.00 0.42 0.58
#> D71_64 4 0.1637 0.8804 0.00 0.00 0.06 0.94
#> D71_65 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D71_66 4 0.4522 0.5790 0.00 0.00 0.32 0.68
#> D71_67 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D71_68 3 0.4522 0.4963 0.00 0.00 0.68 0.32
#> D71_70 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D71_72 1 0.0707 0.9758 0.98 0.00 0.02 0.00
#> D71_75 4 0.2345 0.8557 0.00 0.00 0.10 0.90
#> D71_81 4 0.4713 0.4939 0.00 0.00 0.36 0.64
#> D71_85 4 0.0707 0.8952 0.00 0.00 0.02 0.98
#> D72_1 3 0.4134 0.6389 0.26 0.00 0.74 0.00
#> D72_4 4 0.4522 0.4718 0.00 0.32 0.00 0.68
#> D72_18 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D72_22 3 0.4948 0.2314 0.44 0.00 0.56 0.00
#> D72_31 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D72_37 4 0.2011 0.8671 0.00 0.00 0.08 0.92
#> D72_43 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D72_49 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D72_53 4 0.1637 0.8814 0.00 0.00 0.06 0.94
#> D72_61 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D72_65 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D72_66 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D72_68 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D72_72 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D72_76 3 0.3975 0.6533 0.00 0.00 0.76 0.24
#> D72_78 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D72_82 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D72_86 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D72_95 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D73_2 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D73_8 3 0.0707 0.9154 0.00 0.00 0.98 0.02
#> D73_11 3 0.3400 0.7417 0.00 0.00 0.82 0.18
#> D73_16 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D73_18 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D73_19 4 0.0707 0.8950 0.00 0.00 0.02 0.98
#> D73_24 2 0.1637 0.9023 0.00 0.94 0.00 0.06
#> D73_25 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D73_26 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D73_29 4 0.1211 0.8895 0.00 0.00 0.04 0.96
#> D73_34 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D73_35 3 0.4977 0.1019 0.00 0.00 0.54 0.46
#> D73_39 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D73_40 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D73_51 2 0.4855 0.3800 0.00 0.60 0.00 0.40
#> D73_52 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D73_56 3 0.4790 0.3485 0.00 0.00 0.62 0.38
#> D73_57 4 0.2647 0.8383 0.00 0.00 0.12 0.88
#> D73_60 4 0.1211 0.8895 0.00 0.00 0.04 0.96
#> D73_65 4 0.1211 0.8895 0.00 0.00 0.04 0.96
#> D73_83 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D73_84 3 0.1411 0.9028 0.02 0.00 0.96 0.02
#> D10631_15 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D10631_17 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D10631_24 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D10631_45 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D10631_48 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D10631_54 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D10631_56 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D10631_65 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D10631_68 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D10631_90 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D10631_92 3 0.4134 0.6137 0.00 0.00 0.74 0.26
#> D101_21 2 0.4948 0.2487 0.00 0.56 0.00 0.44
#> D101_24 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D102_21 2 0.4790 0.4269 0.00 0.62 0.00 0.38
#> D102_26 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D102_78 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D102_91 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D1713_5 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D1713_17 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D1713_28 4 0.3975 0.7097 0.00 0.00 0.24 0.76
#> D1713_30 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D1713_31 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D1713_32 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D1713_35 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D1713_41 4 0.4994 -0.0247 0.00 0.48 0.00 0.52
#> D1713_46 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D1713_49 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D1713_57 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D1713_66 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D1713_80 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D1713_84 4 0.4624 0.5259 0.00 0.00 0.34 0.66
#> D1713_86 2 0.2921 0.8270 0.00 0.86 0.00 0.14
#> D1713_87 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D1713_88 4 0.0707 0.8952 0.00 0.00 0.02 0.98
#> D1713_92 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D1713_93 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D1713_94 2 0.3801 0.7332 0.00 0.78 0.00 0.22
#> D172444_39 2 0.3935 0.8184 0.00 0.84 0.06 0.10
#> D17All1_16 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D17All1_26 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D17All1_29 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D17All1_44 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D17All1_53 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D17All1_79 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D17All2_4 4 0.2921 0.8182 0.00 0.00 0.14 0.86
#> D17All2_29 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D17All2_54 4 0.0707 0.8868 0.00 0.02 0.00 0.98
#> D17All2_66 3 0.0000 0.9308 0.00 0.00 1.00 0.00
#> D17TGFB_5 4 0.0000 0.8980 0.00 0.00 0.00 1.00
#> D17TGFB_7 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D17TGFB_24 3 0.4977 0.0834 0.00 0.00 0.54 0.46
#> D17TGFB_27 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D17TGFB_31 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D17TGFB_33 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D17TGFB_34 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D17TGFB_38 3 0.5594 0.0748 0.02 0.00 0.52 0.46
#> D17TGFB_41 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D17TGFB_44 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D17TGFB_45 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D17TGFB_49 1 0.0000 0.9960 1.00 0.00 0.00 0.00
#> D17TGFB_55 2 0.0000 0.9486 0.00 1.00 0.00 0.00
#> D17TGFB_57 1 0.0707 0.9755 0.98 0.00 0.00 0.02
#> D17TGFB_79 2 0.0000 0.9486 0.00 1.00 0.00 0.00
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 244 2.56e-06 2
#> ATC:skmeans 252 2.96e-14 3
#> ATC:skmeans 237 1.23e-13 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node023. Child nodes: Node01121-leaf , Node01122-leaf , Node01321-leaf , Node01322-leaf , Node02111-leaf , Node02112-leaf , Node02121-leaf , Node02122-leaf , Node02123-leaf , Node02211-leaf , Node02212-leaf , Node02213-leaf , Node02221-leaf , Node02222-leaf , Node02321-leaf , Node02322-leaf , Node02331-leaf , Node02332-leaf , Node02333-leaf .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["0232"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 5493 rows and 59 columns.
#> Top rows (549) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 2.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 1.000 0.968 0.988 0.4660 0.534 0.534
#> 3 3 0.632 0.702 0.866 0.3852 0.765 0.577
#> 4 4 0.557 0.561 0.789 0.0995 0.919 0.773
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 2
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_11 2 0.000 0.980 0.00 1.00
#> D2ex_17 1 0.904 0.517 0.68 0.32
#> D2ex_22 1 0.000 0.991 1.00 0.00
#> D2ex_27 1 0.000 0.991 1.00 0.00
#> D2ex_52 2 0.000 0.980 0.00 1.00
#> D2ex_58 2 0.000 0.980 0.00 1.00
#> D2ex_72 1 0.000 0.991 1.00 0.00
#> D2ex_73 2 0.000 0.980 0.00 1.00
#> D2ex_74 1 0.000 0.991 1.00 0.00
#> D2ex_75 1 0.000 0.991 1.00 0.00
#> D2ex_82 1 0.000 0.991 1.00 0.00
#> D2ex_84 2 0.000 0.980 0.00 1.00
#> D3en1_26 1 0.000 0.991 1.00 0.00
#> D3en2_68 2 0.000 0.980 0.00 1.00
#> D3en2_71 1 0.000 0.991 1.00 0.00
#> D3en3_68 2 0.000 0.980 0.00 1.00
#> D3en4_23 1 0.000 0.991 1.00 0.00
#> D3en4_64 1 0.000 0.991 1.00 0.00
#> D3en4_73 2 0.000 0.980 0.00 1.00
#> D3en4_74 2 0.000 0.980 0.00 1.00
#> D3ex_34 2 0.000 0.980 0.00 1.00
#> D3ex_83 1 0.000 0.991 1.00 0.00
#> D74_6 1 0.000 0.991 1.00 0.00
#> D74_15 2 0.000 0.980 0.00 1.00
#> D74_46 1 0.000 0.991 1.00 0.00
#> D71_53 1 0.000 0.991 1.00 0.00
#> D72_4 1 0.000 0.991 1.00 0.00
#> D72_31 1 0.000 0.991 1.00 0.00
#> D72_43 2 0.000 0.980 0.00 1.00
#> D72_78 2 0.000 0.980 0.00 1.00
#> D73_24 1 0.000 0.991 1.00 0.00
#> D73_25 2 0.000 0.980 0.00 1.00
#> D73_34 2 0.000 0.980 0.00 1.00
#> D73_51 1 0.000 0.991 1.00 0.00
#> D10631_15 1 0.000 0.991 1.00 0.00
#> D10631_24 1 0.000 0.991 1.00 0.00
#> D10631_45 1 0.000 0.991 1.00 0.00
#> D10631_48 1 0.000 0.991 1.00 0.00
#> D10631_56 1 0.000 0.991 1.00 0.00
#> D10631_68 2 0.971 0.328 0.40 0.60
#> D101_21 1 0.000 0.991 1.00 0.00
#> D102_21 1 0.000 0.991 1.00 0.00
#> D1713_32 1 0.000 0.991 1.00 0.00
#> D1713_41 1 0.000 0.991 1.00 0.00
#> D1713_86 1 0.000 0.991 1.00 0.00
#> D1713_92 1 0.000 0.991 1.00 0.00
#> D1713_93 1 0.000 0.991 1.00 0.00
#> D1713_94 1 0.000 0.991 1.00 0.00
#> D172444_39 1 0.000 0.991 1.00 0.00
#> D17All2_29 1 0.000 0.991 1.00 0.00
#> D17All2_54 1 0.000 0.991 1.00 0.00
#> D17TGFB_5 1 0.000 0.991 1.00 0.00
#> D17TGFB_7 1 0.000 0.991 1.00 0.00
#> D17TGFB_27 2 0.000 0.980 0.00 1.00
#> D17TGFB_33 2 0.000 0.980 0.00 1.00
#> D17TGFB_34 2 0.000 0.980 0.00 1.00
#> D17TGFB_41 1 0.000 0.991 1.00 0.00
#> D17TGFB_55 2 0.000 0.980 0.00 1.00
#> D17TGFB_79 2 0.000 0.980 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_11 2 0.0000 0.927 0.00 1.00 0.00
#> D2ex_17 3 0.0000 0.655 0.00 0.00 1.00
#> D2ex_22 1 0.6280 -0.128 0.54 0.00 0.46
#> D2ex_27 3 0.6280 0.399 0.46 0.00 0.54
#> D2ex_52 2 0.3686 0.853 0.00 0.86 0.14
#> D2ex_58 2 0.0000 0.927 0.00 1.00 0.00
#> D2ex_72 1 0.2959 0.764 0.90 0.00 0.10
#> D2ex_73 2 0.0000 0.927 0.00 1.00 0.00
#> D2ex_74 3 0.4291 0.674 0.18 0.00 0.82
#> D2ex_75 3 0.6192 0.489 0.42 0.00 0.58
#> D2ex_82 3 0.6192 0.491 0.42 0.00 0.58
#> D2ex_84 2 0.5835 0.627 0.00 0.66 0.34
#> D3en1_26 3 0.1529 0.675 0.04 0.00 0.96
#> D3en2_68 2 0.0000 0.927 0.00 1.00 0.00
#> D3en2_71 3 0.0892 0.667 0.02 0.00 0.98
#> D3en3_68 2 0.2947 0.874 0.06 0.92 0.02
#> D3en4_23 1 0.0892 0.826 0.98 0.00 0.02
#> D3en4_64 3 0.6045 0.542 0.38 0.00 0.62
#> D3en4_73 2 0.5560 0.694 0.00 0.70 0.30
#> D3en4_74 2 0.0000 0.927 0.00 1.00 0.00
#> D3ex_34 2 0.2066 0.900 0.00 0.94 0.06
#> D3ex_83 3 0.3340 0.683 0.12 0.00 0.88
#> D74_6 1 0.0892 0.830 0.98 0.00 0.02
#> D74_15 2 0.0000 0.927 0.00 1.00 0.00
#> D74_46 1 0.5948 0.284 0.64 0.00 0.36
#> D71_53 1 0.5706 0.374 0.68 0.00 0.32
#> D72_4 1 0.5216 0.520 0.74 0.00 0.26
#> D72_31 3 0.6280 0.396 0.46 0.00 0.54
#> D72_43 2 0.6984 0.483 0.02 0.56 0.42
#> D72_78 2 0.0000 0.927 0.00 1.00 0.00
#> D73_24 1 0.0892 0.830 0.98 0.00 0.02
#> D73_25 2 0.0000 0.927 0.00 1.00 0.00
#> D73_34 2 0.0000 0.927 0.00 1.00 0.00
#> D73_51 1 0.0892 0.830 0.98 0.00 0.02
#> D10631_15 1 0.6302 -0.213 0.52 0.00 0.48
#> D10631_24 1 0.0892 0.828 0.98 0.00 0.02
#> D10631_45 1 0.0000 0.835 1.00 0.00 0.00
#> D10631_48 3 0.6126 0.520 0.40 0.00 0.60
#> D10631_56 1 0.2959 0.767 0.90 0.00 0.10
#> D10631_68 1 0.8437 0.298 0.62 0.18 0.20
#> D101_21 1 0.0000 0.835 1.00 0.00 0.00
#> D102_21 1 0.0000 0.835 1.00 0.00 0.00
#> D1713_32 1 0.0000 0.835 1.00 0.00 0.00
#> D1713_41 1 0.0000 0.835 1.00 0.00 0.00
#> D1713_86 1 0.0000 0.835 1.00 0.00 0.00
#> D1713_92 1 0.1529 0.813 0.96 0.00 0.04
#> D1713_93 3 0.2537 0.668 0.08 0.00 0.92
#> D1713_94 1 0.0000 0.835 1.00 0.00 0.00
#> D172444_39 1 0.0892 0.830 0.98 0.00 0.02
#> D17All2_29 1 0.0000 0.835 1.00 0.00 0.00
#> D17All2_54 1 0.0000 0.835 1.00 0.00 0.00
#> D17TGFB_5 1 0.0000 0.835 1.00 0.00 0.00
#> D17TGFB_7 1 0.5706 0.353 0.68 0.00 0.32
#> D17TGFB_27 2 0.0000 0.927 0.00 1.00 0.00
#> D17TGFB_33 3 0.4555 0.414 0.00 0.20 0.80
#> D17TGFB_34 2 0.2537 0.887 0.00 0.92 0.08
#> D17TGFB_41 3 0.5706 0.533 0.32 0.00 0.68
#> D17TGFB_55 2 0.0000 0.927 0.00 1.00 0.00
#> D17TGFB_79 2 0.0000 0.927 0.00 1.00 0.00
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_11 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D2ex_17 3 0.4134 0.10576 0.00 0.00 0.74 0.26
#> D2ex_22 3 0.6805 0.31629 0.40 0.00 0.50 0.10
#> D2ex_27 3 0.4790 0.44313 0.38 0.00 0.62 0.00
#> D2ex_52 2 0.5594 0.59012 0.00 0.72 0.10 0.18
#> D2ex_58 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D2ex_72 1 0.4624 0.41530 0.66 0.00 0.34 0.00
#> D2ex_73 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D2ex_74 3 0.4841 0.39441 0.08 0.00 0.78 0.14
#> D2ex_75 3 0.4713 0.48408 0.36 0.00 0.64 0.00
#> D2ex_82 3 0.4624 0.51347 0.34 0.00 0.66 0.00
#> D2ex_84 2 0.7594 0.08549 0.00 0.48 0.26 0.26
#> D3en1_26 3 0.4939 0.25145 0.04 0.00 0.74 0.22
#> D3en2_68 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D3en2_71 3 0.4522 0.00169 0.00 0.00 0.68 0.32
#> D3en3_68 2 0.7568 0.42447 0.06 0.62 0.14 0.18
#> D3en4_23 1 0.3975 0.58671 0.76 0.00 0.24 0.00
#> D3en4_64 3 0.4406 0.55532 0.30 0.00 0.70 0.00
#> D3en4_73 4 0.7581 0.23790 0.00 0.36 0.20 0.44
#> D3en4_74 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D3ex_34 2 0.3853 0.72070 0.00 0.82 0.16 0.02
#> D3ex_83 3 0.4491 0.52545 0.14 0.00 0.80 0.06
#> D74_6 1 0.2411 0.73383 0.92 0.00 0.04 0.04
#> D74_15 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D74_46 1 0.6212 0.20724 0.56 0.00 0.38 0.06
#> D71_53 1 0.6714 0.24850 0.54 0.00 0.36 0.10
#> D72_4 1 0.4790 0.30081 0.62 0.00 0.38 0.00
#> D72_31 3 0.7040 0.14414 0.42 0.00 0.46 0.12
#> D72_43 4 0.6248 0.49483 0.00 0.26 0.10 0.64
#> D72_78 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D73_24 1 0.2345 0.73674 0.90 0.00 0.10 0.00
#> D73_25 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D73_34 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D73_51 1 0.2345 0.73572 0.90 0.00 0.10 0.00
#> D10631_15 1 0.7653 -0.05966 0.46 0.00 0.24 0.30
#> D10631_24 1 0.5767 0.53990 0.66 0.00 0.28 0.06
#> D10631_45 1 0.0000 0.75757 1.00 0.00 0.00 0.00
#> D10631_48 3 0.6299 0.49729 0.32 0.00 0.60 0.08
#> D10631_56 1 0.3935 0.71120 0.84 0.00 0.10 0.06
#> D10631_68 4 0.6287 0.44127 0.26 0.06 0.02 0.66
#> D101_21 1 0.1637 0.75286 0.94 0.00 0.06 0.00
#> D102_21 1 0.0707 0.75969 0.98 0.00 0.02 0.00
#> D1713_32 1 0.0707 0.75312 0.98 0.00 0.00 0.02
#> D1713_41 1 0.1411 0.74333 0.96 0.00 0.02 0.02
#> D1713_86 1 0.1211 0.75814 0.96 0.00 0.04 0.00
#> D1713_92 1 0.5657 0.53966 0.72 0.00 0.12 0.16
#> D1713_93 4 0.4624 0.42972 0.00 0.00 0.34 0.66
#> D1713_94 1 0.1913 0.73248 0.94 0.00 0.02 0.04
#> D172444_39 1 0.3172 0.69194 0.84 0.00 0.16 0.00
#> D17All2_29 1 0.0000 0.75757 1.00 0.00 0.00 0.00
#> D17All2_54 1 0.0000 0.75757 1.00 0.00 0.00 0.00
#> D17TGFB_5 1 0.0707 0.75969 0.98 0.00 0.02 0.00
#> D17TGFB_7 1 0.4624 0.41179 0.66 0.00 0.34 0.00
#> D17TGFB_27 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D17TGFB_33 4 0.4553 0.53473 0.00 0.04 0.18 0.78
#> D17TGFB_34 2 0.5000 0.02957 0.00 0.50 0.00 0.50
#> D17TGFB_41 4 0.7382 0.13538 0.22 0.00 0.26 0.52
#> D17TGFB_55 2 0.0000 0.86846 0.00 1.00 0.00 0.00
#> D17TGFB_79 2 0.0000 0.86846 0.00 1.00 0.00 0.00
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 58 0.2405 2
#> ATC:skmeans 47 0.0341 3
#> ATC:skmeans 36 0.0345 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
Parent node: Node023. Child nodes: Node01121-leaf , Node01122-leaf , Node01321-leaf , Node01322-leaf , Node02111-leaf , Node02112-leaf , Node02121-leaf , Node02122-leaf , Node02123-leaf , Node02211-leaf , Node02212-leaf , Node02213-leaf , Node02221-leaf , Node02222-leaf , Node02321-leaf , Node02322-leaf , Node02331-leaf , Node02332-leaf , Node02333-leaf .
The object with results only for a single top-value method and a single partitioning method can be extracted as:
res = res_rh["0233"]
A summary of res and all the functions that can be applied to it:
res
#> A 'ConsensusPartition' object with k = 2, 3, 4.
#> On a matrix with 7966 rows and 117 columns.
#> Top rows (785) are extracted by 'ATC' method.
#> Subgroups are detected by 'skmeans' method.
#> Performed in total 150 partitions by row resampling.
#> Best k for subgroups seems to be 3.
#>
#> Following methods can be applied to this 'ConsensusPartition' object:
#> [1] "cola_report" "collect_classes" "collect_plots"
#> [4] "collect_stats" "colnames" "compare_partitions"
#> [7] "compare_signatures" "consensus_heatmap" "dimension_reduction"
#> [10] "functional_enrichment" "get_anno_col" "get_anno"
#> [13] "get_classes" "get_consensus" "get_matrix"
#> [16] "get_membership" "get_param" "get_signatures"
#> [19] "get_stats" "is_best_k" "is_stable_k"
#> [22] "membership_heatmap" "ncol" "nrow"
#> [25] "plot_ecdf" "predict_classes" "rownames"
#> [28] "select_partition_number" "show" "suggest_best_k"
#> [31] "test_to_known_factors" "top_rows_heatmap"
collect_plots() function collects all the plots made from res for all k (number of subgroups)
into one single page to provide an easy and fast comparison between different k.
collect_plots(res)
The plots are:
k and the heatmap of
predicted classes for each k.k.k.k.All the plots in panels can be made by individual functions and they are plotted later in this section.
select_partition_number() produces several plots showing different
statistics for choosing “optimized” k. There are following statistics:
k;k, the area increased is defined as \(A_k - A_{k-1}\).The detailed explanations of these statistics can be found in the cola vignette.
Generally speaking, higher 1-PAC score, higher mean silhouette score or higher
concordance corresponds to better partition. Rand index and Jaccard index
measure how similar the current partition is compared to partition with k-1.
If they are too similar, we won't accept k is better than k-1.
select_partition_number(res)
The numeric values for all these statistics can be obtained by get_stats().
get_stats(res)
#> k 1-PAC mean_silhouette concordance area_increased Rand Jaccard
#> 2 2 0.981 0.956 0.982 0.4993 0.502 0.502
#> 3 3 0.986 0.957 0.981 0.3273 0.808 0.628
#> 4 4 0.727 0.756 0.859 0.0905 0.946 0.841
suggest_best_k() suggests the best \(k\) based on these statistics. The rules are as follows:
suggest_best_k(res)
#> [1] 3
#> attr(,"optional")
#> [1] 2
There is also optional best \(k\) = 2 that is worth to check.
Following is the table of the partitions (You need to click the show/hide
code output link to see it). The membership matrix (columns with name p*)
is inferred by
clue::cl_consensus()
function with the SE method. Basically the value in the membership matrix
represents the probability to belong to a certain group. The finall subgroup
label for an item is determined with the group with highest probability it
belongs to.
In get_classes() function, the entropy is calculated from the membership
matrix and the silhouette score is calculated from the consensus matrix.
cbind(get_classes(res, k = 2), get_membership(res, k = 2))
#> class entropy silhouette p1 p2
#> D2ex_5 1 0.000 0.984 1.00 0.00
#> D2ex_6 2 0.000 0.979 0.00 1.00
#> D2ex_7 2 0.000 0.979 0.00 1.00
#> D2ex_8 1 0.000 0.984 1.00 0.00
#> D2ex_12 1 0.000 0.984 1.00 0.00
#> D2ex_19 2 0.000 0.979 0.00 1.00
#> D2ex_20 2 0.000 0.979 0.00 1.00
#> D2ex_25 1 0.000 0.984 1.00 0.00
#> D2ex_28 2 0.000 0.979 0.00 1.00
#> D2ex_33 1 0.000 0.984 1.00 0.00
#> D2ex_35 2 0.680 0.786 0.18 0.82
#> D2ex_36 1 0.000 0.984 1.00 0.00
#> D2ex_47 2 0.000 0.979 0.00 1.00
#> D2ex_55 1 0.000 0.984 1.00 0.00
#> D2ex_56 1 0.000 0.984 1.00 0.00
#> D2ex_57 2 0.141 0.962 0.02 0.98
#> D2ex_62 1 0.000 0.984 1.00 0.00
#> D2ex_85 2 0.000 0.979 0.00 1.00
#> D2ex_88 2 0.000 0.979 0.00 1.00
#> D3en1_30 1 0.000 0.984 1.00 0.00
#> D3en1_71 1 0.000 0.984 1.00 0.00
#> D3en1_75 1 0.000 0.984 1.00 0.00
#> D3en1_87 1 0.000 0.984 1.00 0.00
#> D3en1_88 1 0.000 0.984 1.00 0.00
#> D3en2_60 1 0.000 0.984 1.00 0.00
#> D3en3_87 1 0.000 0.984 1.00 0.00
#> D3en4_61 2 0.000 0.979 0.00 1.00
#> D3ex_9 1 0.000 0.984 1.00 0.00
#> D3ex_91 2 0.634 0.812 0.16 0.84
#> D74_13 2 0.000 0.979 0.00 1.00
#> D74_17 1 0.000 0.984 1.00 0.00
#> D74_18 1 0.000 0.984 1.00 0.00
#> D74_27 2 0.000 0.979 0.00 1.00
#> D74_31 1 0.000 0.984 1.00 0.00
#> D74_34 1 0.000 0.984 1.00 0.00
#> D74_37 1 0.000 0.984 1.00 0.00
#> D74_43 2 0.000 0.979 0.00 1.00
#> D74_44 2 0.000 0.979 0.00 1.00
#> D74_45 2 0.000 0.979 0.00 1.00
#> D74_47 2 0.981 0.280 0.42 0.58
#> D74_63 1 0.000 0.984 1.00 0.00
#> D74_79 2 0.141 0.962 0.02 0.98
#> D74_94 2 0.000 0.979 0.00 1.00
#> D71_6 1 0.000 0.984 1.00 0.00
#> D71_12 1 0.000 0.984 1.00 0.00
#> D71_18 1 0.000 0.984 1.00 0.00
#> D71_22 2 0.000 0.979 0.00 1.00
#> D71_27 2 0.000 0.979 0.00 1.00
#> D71_31 2 0.000 0.979 0.00 1.00
#> D71_33 2 0.000 0.979 0.00 1.00
#> D71_41 1 0.000 0.984 1.00 0.00
#> D71_52 1 0.000 0.984 1.00 0.00
#> D71_56 2 0.000 0.979 0.00 1.00
#> D71_58 2 0.000 0.979 0.00 1.00
#> D71_64 2 0.000 0.979 0.00 1.00
#> D71_65 2 0.000 0.979 0.00 1.00
#> D71_66 2 0.000 0.979 0.00 1.00
#> D71_67 2 0.000 0.979 0.00 1.00
#> D71_68 2 0.000 0.979 0.00 1.00
#> D71_70 2 0.000 0.979 0.00 1.00
#> D71_75 1 0.242 0.944 0.96 0.04
#> D71_81 2 0.722 0.757 0.20 0.80
#> D71_85 2 0.000 0.979 0.00 1.00
#> D72_37 2 0.000 0.979 0.00 1.00
#> D72_49 1 0.000 0.984 1.00 0.00
#> D72_53 2 0.000 0.979 0.00 1.00
#> D72_61 1 0.000 0.984 1.00 0.00
#> D72_65 2 0.760 0.723 0.22 0.78
#> D72_66 1 0.000 0.984 1.00 0.00
#> D72_68 1 0.000 0.984 1.00 0.00
#> D72_72 1 0.000 0.984 1.00 0.00
#> D72_76 2 0.000 0.979 0.00 1.00
#> D72_82 1 0.000 0.984 1.00 0.00
#> D72_86 1 0.000 0.984 1.00 0.00
#> D73_2 1 0.000 0.984 1.00 0.00
#> D73_8 1 0.000 0.984 1.00 0.00
#> D73_11 1 0.000 0.984 1.00 0.00
#> D73_16 2 0.000 0.979 0.00 1.00
#> D73_18 1 0.000 0.984 1.00 0.00
#> D73_19 2 0.000 0.979 0.00 1.00
#> D73_26 1 0.995 0.132 0.54 0.46
#> D73_29 2 0.000 0.979 0.00 1.00
#> D73_35 2 0.000 0.979 0.00 1.00
#> D73_39 2 0.000 0.979 0.00 1.00
#> D73_40 1 0.000 0.984 1.00 0.00
#> D73_56 2 0.000 0.979 0.00 1.00
#> D73_57 1 0.000 0.984 1.00 0.00
#> D73_60 2 0.000 0.979 0.00 1.00
#> D73_65 2 0.000 0.979 0.00 1.00
#> D73_84 2 0.000 0.979 0.00 1.00
#> D10631_65 1 0.881 0.562 0.70 0.30
#> D10631_90 2 0.000 0.979 0.00 1.00
#> D10631_92 1 0.000 0.984 1.00 0.00
#> D102_78 1 0.000 0.984 1.00 0.00
#> D1713_5 1 0.000 0.984 1.00 0.00
#> D1713_17 2 0.000 0.979 0.00 1.00
#> D1713_28 2 0.402 0.905 0.08 0.92
#> D1713_30 2 0.000 0.979 0.00 1.00
#> D1713_31 2 0.000 0.979 0.00 1.00
#> D1713_35 1 0.000 0.984 1.00 0.00
#> D1713_46 2 0.000 0.979 0.00 1.00
#> D1713_49 2 0.000 0.979 0.00 1.00
#> D1713_57 2 0.000 0.979 0.00 1.00
#> D1713_66 2 0.000 0.979 0.00 1.00
#> D1713_84 1 0.000 0.984 1.00 0.00
#> D1713_87 2 0.000 0.979 0.00 1.00
#> D1713_88 2 0.000 0.979 0.00 1.00
#> D17All1_16 2 0.000 0.979 0.00 1.00
#> D17All1_26 2 0.000 0.979 0.00 1.00
#> D17All1_29 2 0.000 0.979 0.00 1.00
#> D17All1_44 2 0.000 0.979 0.00 1.00
#> D17All1_53 1 0.000 0.984 1.00 0.00
#> D17All1_79 2 0.000 0.979 0.00 1.00
#> D17All2_4 2 0.141 0.962 0.02 0.98
#> D17All2_66 1 0.000 0.984 1.00 0.00
#> D17TGFB_24 1 0.000 0.984 1.00 0.00
#> D17TGFB_38 2 0.000 0.979 0.00 1.00
cbind(get_classes(res, k = 3), get_membership(res, k = 3))
#> class entropy silhouette p1 p2 p3
#> D2ex_5 1 0.0000 0.983 1.00 0.00 0.00
#> D2ex_6 3 0.0000 0.980 0.00 0.00 1.00
#> D2ex_7 3 0.0000 0.980 0.00 0.00 1.00
#> D2ex_8 1 0.0000 0.983 1.00 0.00 0.00
#> D2ex_12 1 0.0000 0.983 1.00 0.00 0.00
#> D2ex_19 2 0.6045 0.381 0.00 0.62 0.38
#> D2ex_20 2 0.0000 0.978 0.00 1.00 0.00
#> D2ex_25 1 0.0000 0.983 1.00 0.00 0.00
#> D2ex_28 2 0.0000 0.978 0.00 1.00 0.00
#> D2ex_33 1 0.0000 0.983 1.00 0.00 0.00
#> D2ex_35 2 0.0000 0.978 0.00 1.00 0.00
#> D2ex_36 1 0.0000 0.983 1.00 0.00 0.00
#> D2ex_47 2 0.0000 0.978 0.00 1.00 0.00
#> D2ex_55 1 0.0000 0.983 1.00 0.00 0.00
#> D2ex_56 1 0.0000 0.983 1.00 0.00 0.00
#> D2ex_57 2 0.0000 0.978 0.00 1.00 0.00
#> D2ex_62 1 0.0000 0.983 1.00 0.00 0.00
#> D2ex_85 2 0.0000 0.978 0.00 1.00 0.00
#> D2ex_88 2 0.0000 0.978 0.00 1.00 0.00
#> D3en1_30 1 0.0000 0.983 1.00 0.00 0.00
#> D3en1_71 1 0.0000 0.983 1.00 0.00 0.00
#> D3en1_75 1 0.0000 0.983 1.00 0.00 0.00
#> D3en1_87 1 0.0000 0.983 1.00 0.00 0.00
#> D3en1_88 1 0.2959 0.885 0.90 0.10 0.00
#> D3en2_60 1 0.0000 0.983 1.00 0.00 0.00
#> D3en3_87 1 0.0000 0.983 1.00 0.00 0.00
#> D3en4_61 2 0.0000 0.978 0.00 1.00 0.00
#> D3ex_9 1 0.0000 0.983 1.00 0.00 0.00
#> D3ex_91 2 0.0000 0.978 0.00 1.00 0.00
#> D74_13 2 0.0000 0.978 0.00 1.00 0.00
#> D74_17 1 0.0892 0.966 0.98 0.00 0.02
#> D74_18 1 0.0000 0.983 1.00 0.00 0.00
#> D74_27 3 0.0000 0.980 0.00 0.00 1.00
#> D74_31 1 0.0000 0.983 1.00 0.00 0.00
#> D74_34 1 0.0000 0.983 1.00 0.00 0.00
#> D74_37 1 0.0000 0.983 1.00 0.00 0.00
#> D74_43 2 0.0000 0.978 0.00 1.00 0.00
#> D74_44 3 0.0000 0.980 0.00 0.00 1.00
#> D74_45 3 0.0000 0.980 0.00 0.00 1.00
#> D74_47 3 0.0000 0.980 0.00 0.00 1.00
#> D74_63 1 0.0000 0.983 1.00 0.00 0.00
#> D74_79 2 0.5858 0.661 0.02 0.74 0.24
#> D74_94 3 0.0000 0.980 0.00 0.00 1.00
#> D71_6 1 0.0000 0.983 1.00 0.00 0.00
#> D71_12 1 0.0000 0.983 1.00 0.00 0.00
#> D71_18 1 0.0892 0.966 0.98 0.02 0.00
#> D71_22 3 0.0000 0.980 0.00 0.00 1.00
#> D71_27 3 0.4002 0.814 0.00 0.16 0.84
#> D71_31 3 0.0000 0.980 0.00 0.00 1.00
#> D71_33 3 0.2537 0.910 0.00 0.08 0.92
#> D71_41 1 0.0892 0.966 0.98 0.00 0.02
#> D71_52 1 0.0000 0.983 1.00 0.00 0.00
#> D71_56 3 0.0000 0.980 0.00 0.00 1.00
#> D71_58 3 0.0000 0.980 0.00 0.00 1.00
#> D71_64 2 0.0000 0.978 0.00 1.00 0.00
#> D71_65 2 0.0000 0.978 0.00 1.00 0.00
#> D71_66 3 0.0000 0.980 0.00 0.00 1.00
#> D71_67 2 0.0892 0.960 0.00 0.98 0.02
#> D71_68 3 0.0000 0.980 0.00 0.00 1.00
#> D71_70 3 0.0000 0.980 0.00 0.00 1.00
#> D71_75 2 0.2537 0.892 0.08 0.92 0.00
#> D71_81 2 0.0000 0.978 0.00 1.00 0.00
#> D71_85 2 0.0000 0.978 0.00 1.00 0.00
#> D72_37 3 0.0000 0.980 0.00 0.00 1.00
#> D72_49 1 0.0000 0.983 1.00 0.00 0.00
#> D72_53 2 0.0000 0.978 0.00 1.00 0.00
#> D72_61 1 0.0000 0.983 1.00 0.00 0.00
#> D72_65 3 0.0000 0.980 0.00 0.00 1.00
#> D72_66 1 0.0000 0.983 1.00 0.00 0.00
#> D72_68 1 0.0000 0.983 1.00 0.00 0.00
#> D72_72 1 0.0000 0.983 1.00 0.00 0.00
#> D72_76 3 0.2066 0.929 0.00 0.06 0.94
#> D72_82 1 0.0000 0.983 1.00 0.00 0.00
#> D72_86 1 0.0000 0.983 1.00 0.00 0.00
#> D73_2 1 0.0000 0.983 1.00 0.00 0.00
#> D73_8 1 0.0000 0.983 1.00 0.00 0.00
#> D73_11 1 0.0000 0.983 1.00 0.00 0.00
#> D73_16 3 0.0000 0.980 0.00 0.00 1.00
#> D73_18 1 0.0000 0.983 1.00 0.00 0.00
#> D73_19 3 0.0000 0.980 0.00 0.00 1.00
#> D73_26 3 0.0000 0.980 0.00 0.00 1.00
#> D73_29 3 0.0000 0.980 0.00 0.00 1.00
#> D73_35 3 0.0000 0.980 0.00 0.00 1.00
#> D73_39 3 0.0000 0.980 0.00 0.00 1.00
#> D73_40 1 0.0000 0.983 1.00 0.00 0.00
#> D73_56 3 0.0000 0.980 0.00 0.00 1.00
#> D73_57 1 0.6045 0.395 0.62 0.38 0.00
#> D73_60 3 0.0000 0.980 0.00 0.00 1.00
#> D73_65 3 0.0000 0.980 0.00 0.00 1.00
#> D73_84 3 0.0000 0.980 0.00 0.00 1.00
#> D10631_65 2 0.0000 0.978 0.00 1.00 0.00
#> D10631_90 2 0.0000 0.978 0.00 1.00 0.00
#> D10631_92 1 0.0000 0.983 1.00 0.00 0.00
#> D102_78 1 0.0000 0.983 1.00 0.00 0.00
#> D1713_5 1 0.0000 0.983 1.00 0.00 0.00
#> D1713_17 2 0.0000 0.978 0.00 1.00 0.00
#> D1713_28 2 0.0000 0.978 0.00 1.00 0.00
#> D1713_30 2 0.0000 0.978 0.00 1.00 0.00
#> D1713_31 2 0.0000 0.978 0.00 1.00 0.00
#> D1713_35 1 0.0000 0.983 1.00 0.00 0.00
#> D1713_46 2 0.0000 0.978 0.00 1.00 0.00
#> D1713_49 2 0.0000 0.978 0.00 1.00 0.00
#> D1713_57 2 0.0000 0.978 0.00 1.00 0.00
#> D1713_66 2 0.0000 0.978 0.00 1.00 0.00
#> D1713_84 1 0.0000 0.983 1.00 0.00 0.00
#> D1713_87 2 0.0000 0.978 0.00 1.00 0.00
#> D1713_88 2 0.0000 0.978 0.00 1.00 0.00
#> D17All1_16 2 0.0000 0.978 0.00 1.00 0.00
#> D17All1_26 2 0.0000 0.978 0.00 1.00 0.00
#> D17All1_29 2 0.0000 0.978 0.00 1.00 0.00
#> D17All1_44 3 0.5397 0.618 0.00 0.28 0.72
#> D17All1_53 1 0.0000 0.983 1.00 0.00 0.00
#> D17All1_79 3 0.0000 0.980 0.00 0.00 1.00
#> D17All2_4 3 0.0000 0.980 0.00 0.00 1.00
#> D17All2_66 1 0.2066 0.928 0.94 0.06 0.00
#> D17TGFB_24 1 0.4555 0.753 0.80 0.20 0.00
#> D17TGFB_38 3 0.2066 0.929 0.00 0.06 0.94
cbind(get_classes(res, k = 4), get_membership(res, k = 4))
#> class entropy silhouette p1 p2 p3 p4
#> D2ex_5 1 0.3975 0.7930 0.76 0.00 0.00 0.24
#> D2ex_6 3 0.3172 0.6757 0.00 0.00 0.84 0.16
#> D2ex_7 3 0.1637 0.7608 0.00 0.00 0.94 0.06
#> D2ex_8 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D2ex_12 1 0.2647 0.8659 0.88 0.00 0.00 0.12
#> D2ex_19 2 0.7785 -0.1087 0.00 0.42 0.32 0.26
#> D2ex_20 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D2ex_25 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D2ex_28 2 0.0707 0.8883 0.00 0.98 0.00 0.02
#> D2ex_33 1 0.1211 0.8950 0.96 0.00 0.00 0.04
#> D2ex_35 2 0.4134 0.7429 0.00 0.74 0.00 0.26
#> D2ex_36 1 0.2345 0.8774 0.90 0.00 0.00 0.10
#> D2ex_47 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D2ex_55 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D2ex_56 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D2ex_57 2 0.2011 0.8752 0.00 0.92 0.00 0.08
#> D2ex_62 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D2ex_85 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D2ex_88 2 0.2921 0.7980 0.00 0.86 0.00 0.14
#> D3en1_30 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D3en1_71 1 0.4522 0.7234 0.68 0.00 0.00 0.32
#> D3en1_75 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D3en1_87 1 0.4522 0.7234 0.68 0.00 0.00 0.32
#> D3en1_88 1 0.6570 0.6061 0.58 0.10 0.00 0.32
#> D3en2_60 1 0.1637 0.8929 0.94 0.00 0.00 0.06
#> D3en3_87 1 0.2921 0.8571 0.86 0.00 0.00 0.14
#> D3en4_61 2 0.0707 0.8932 0.00 0.98 0.00 0.02
#> D3ex_9 1 0.0707 0.9011 0.98 0.00 0.00 0.02
#> D3ex_91 2 0.2647 0.8555 0.00 0.88 0.00 0.12
#> D74_13 2 0.2011 0.8751 0.00 0.92 0.00 0.08
#> D74_17 1 0.4790 0.3266 0.62 0.00 0.00 0.38
#> D74_18 1 0.0707 0.9011 0.98 0.00 0.00 0.02
#> D74_27 4 0.6074 0.6237 0.00 0.06 0.34 0.60
#> D74_31 1 0.4277 0.7580 0.72 0.00 0.00 0.28
#> D74_34 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D74_37 1 0.1211 0.8937 0.96 0.00 0.00 0.04
#> D74_43 2 0.3172 0.8303 0.00 0.84 0.00 0.16
#> D74_44 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D74_45 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D74_47 3 0.3975 0.5638 0.00 0.00 0.76 0.24
#> D74_63 1 0.3610 0.8207 0.80 0.00 0.00 0.20
#> D74_79 4 0.4753 0.5436 0.02 0.18 0.02 0.78
#> D74_94 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D71_6 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D71_12 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D71_18 1 0.5986 0.6586 0.62 0.06 0.00 0.32
#> D71_22 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D71_27 4 0.6594 0.5999 0.00 0.24 0.14 0.62
#> D71_31 3 0.4522 0.4059 0.00 0.00 0.68 0.32
#> D71_33 4 0.6513 0.6444 0.00 0.18 0.18 0.64
#> D71_41 4 0.4907 0.2599 0.42 0.00 0.00 0.58
#> D71_52 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D71_56 3 0.4994 -0.2545 0.00 0.00 0.52 0.48
#> D71_58 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D71_64 2 0.3610 0.8082 0.00 0.80 0.00 0.20
#> D71_65 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D71_66 4 0.6287 0.6693 0.02 0.06 0.26 0.66
#> D71_67 2 0.5106 0.5900 0.00 0.72 0.04 0.24
#> D71_68 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D71_70 3 0.4948 -0.0619 0.00 0.00 0.56 0.44
#> D71_75 2 0.6150 0.5250 0.06 0.58 0.00 0.36
#> D71_81 2 0.3975 0.7787 0.00 0.76 0.00 0.24
#> D71_85 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D72_37 4 0.4948 0.4341 0.00 0.00 0.44 0.56
#> D72_49 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D72_53 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D72_61 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D72_65 3 0.4522 0.4045 0.00 0.00 0.68 0.32
#> D72_66 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D72_68 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D72_72 1 0.0707 0.9011 0.98 0.00 0.00 0.02
#> D72_76 4 0.6317 0.6720 0.02 0.08 0.22 0.68
#> D72_82 1 0.0707 0.8944 0.98 0.00 0.00 0.02
#> D72_86 1 0.4642 0.7494 0.74 0.02 0.00 0.24
#> D73_2 1 0.0707 0.9011 0.98 0.00 0.00 0.02
#> D73_8 1 0.1211 0.8972 0.96 0.00 0.00 0.04
#> D73_11 1 0.1211 0.8972 0.96 0.00 0.00 0.04
#> D73_16 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D73_18 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D73_19 4 0.5512 0.6545 0.00 0.04 0.30 0.66
#> D73_26 4 0.4977 0.3974 0.00 0.00 0.46 0.54
#> D73_29 4 0.5062 0.6446 0.00 0.02 0.30 0.68
#> D73_35 3 0.3975 0.5218 0.00 0.00 0.76 0.24
#> D73_39 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D73_40 1 0.1211 0.8972 0.96 0.00 0.00 0.04
#> D73_56 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D73_57 1 0.7745 0.3137 0.42 0.24 0.00 0.34
#> D73_60 4 0.5355 0.6022 0.00 0.02 0.36 0.62
#> D73_65 4 0.7095 0.6204 0.00 0.18 0.26 0.56
#> D73_84 3 0.0000 0.7929 0.00 0.00 1.00 0.00
#> D10631_65 2 0.1637 0.8822 0.00 0.94 0.00 0.06
#> D10631_90 2 0.1211 0.8894 0.00 0.96 0.00 0.04
#> D10631_92 1 0.1637 0.8928 0.94 0.00 0.00 0.06
#> D102_78 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D1713_5 1 0.0707 0.9011 0.98 0.00 0.00 0.02
#> D1713_17 2 0.2345 0.8366 0.00 0.90 0.00 0.10
#> D1713_28 2 0.3400 0.8157 0.00 0.82 0.00 0.18
#> D1713_30 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D1713_31 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D1713_35 1 0.2647 0.8680 0.88 0.00 0.00 0.12
#> D1713_46 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D1713_49 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D1713_57 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D1713_66 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D1713_84 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D1713_87 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D1713_88 2 0.3335 0.7962 0.00 0.86 0.02 0.12
#> D17All1_16 2 0.1913 0.8686 0.00 0.94 0.02 0.04
#> D17All1_26 2 0.0000 0.8977 0.00 1.00 0.00 0.00
#> D17All1_29 2 0.2345 0.8647 0.00 0.90 0.00 0.10
#> D17All1_44 4 0.7198 0.5363 0.00 0.28 0.18 0.54
#> D17All1_53 1 0.0000 0.9025 1.00 0.00 0.00 0.00
#> D17All1_79 4 0.4790 0.5453 0.00 0.00 0.38 0.62
#> D17All2_4 3 0.3172 0.6272 0.00 0.00 0.84 0.16
#> D17All2_66 1 0.6477 0.6314 0.60 0.10 0.00 0.30
#> D17TGFB_24 1 0.5902 0.6895 0.70 0.16 0.00 0.14
#> D17TGFB_38 3 0.5383 0.5207 0.00 0.10 0.74 0.16
Heatmaps for the consensus matrix. It visualizes the probability of two samples to be in a same group.
consensus_heatmap(res, k = 2)
consensus_heatmap(res, k = 3)
consensus_heatmap(res, k = 4)
Heatmaps for the membership of samples in all partitions to see how consistent they are:
membership_heatmap(res, k = 2)
membership_heatmap(res, k = 3)
membership_heatmap(res, k = 4)
As soon as the classes for columns are determined, the signatures that are significantly different between subgroups can be looked for. Following are the heatmaps for signatures.
Signature heatmaps where rows are scaled:
Signature heatmaps where rows are not scaled:
get_signatures(res, k = 2, scale_rows = FALSE)
get_signatures(res, k = 3, scale_rows = FALSE)
get_signatures(res, k = 4, scale_rows = FALSE)
Compare the overlap of signatures from different k:
compare_signatures(res)
get_signature() returns a data frame invisibly. To get the list of signatures, the function
call should be assigned to a variable explicitly. In following code, if plot argument is set
to FALSE, no heatmap is plotted while only the differential analysis is performed.
# code only for demonstration
tb = get_signature(res, k = ..., plot = FALSE)
An example of the output of tb is:
#> which_row fdr mean_1 mean_2 scaled_mean_1 scaled_mean_2 km
#> 1 38 0.042760348 8.373488 9.131774 -0.5533452 0.5164555 1
#> 2 40 0.018707592 7.106213 8.469186 -0.6173731 0.5762149 1
#> 3 55 0.019134737 10.221463 11.207825 -0.6159697 0.5749050 1
#> 4 59 0.006059896 5.921854 7.869574 -0.6899429 0.6439467 1
#> 5 60 0.018055526 8.928898 10.211722 -0.6204761 0.5791110 1
#> 6 98 0.009384629 15.714769 14.887706 0.6635654 -0.6193277 2
...
The columns in tb are:
which_row: row indices corresponding to the input matrix.fdr: FDR for the differential test. mean_x: The mean value in group x.scaled_mean_x: The mean value in group x after rows are scaled.km: Row groups if k-means clustering is applied to rows (which is done by automatically selecting number of clusters).If there are too many signatures, top_signatures = ... can be set to only show the
signatures with the highest FDRs:
# code only for demonstration
# e.g. to show the top 500 most significant rows
tb = get_signature(res, k = ..., top_signatures = 500)
If the signatures are defined as these which are uniquely high in current group, diff_method argument
can be set to "uniquely_high_in_one_group":
# code only for demonstration
tb = get_signature(res, k = ..., diff_method = "uniquely_high_in_one_group")
UMAP plot which shows how samples are separated.
dimension_reduction(res, k = 2, method = "UMAP")
dimension_reduction(res, k = 3, method = "UMAP")
dimension_reduction(res, k = 4, method = "UMAP")
Following heatmap shows how subgroups are split when increasing k:
collect_classes(res)
Test correlation between subgroups and known annotations. If the known annotation is numeric, one-way ANOVA test is applied, and if the known annotation is discrete, chi-squared contingency table test is applied.
test_to_known_factors(res)
#> n_sample donor(p-value) k
#> ATC:skmeans 115 0.041384 2
#> ATC:skmeans 115 0.000411 3
#> ATC:skmeans 107 0.010200 4
If matrix rows can be associated to genes, consider to use functional_enrichment(res,
...) to perform function enrichment for the signature genes. See this vignette for more detailed explanations.
sessionInfo()
#> R version 4.1.0 (2021-05-18)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: CentOS Linux 7 (Core)
#>
#> Matrix products: default
#> BLAS/LAPACK: /usr/lib64/libopenblas-r0.3.3.so
#>
#> locale:
#> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
#> [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
#> [7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C
#> [10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
#>
#> attached base packages:
#> [1] grid parallel stats4 stats graphics grDevices utils datasets methods
#> [10] base
#>
#> other attached packages:
#> [1] genefilter_1.74.0 ComplexHeatmap_2.8.0 markdown_1.1
#> [4] knitr_1.33 scRNAseq_2.6.1 SingleCellExperiment_1.14.1
#> [7] SummarizedExperiment_1.22.0 Biobase_2.52.0 GenomicRanges_1.44.0
#> [10] GenomeInfoDb_1.28.1 IRanges_2.26.0 S4Vectors_0.30.0
#> [13] BiocGenerics_0.38.0 MatrixGenerics_1.4.0 matrixStats_0.59.0
#> [16] cola_1.9.4
#>
#> loaded via a namespace (and not attached):
#> [1] circlize_0.4.13 AnnotationHub_3.0.1 BiocFileCache_2.0.0
#> [4] lazyeval_0.2.2 polylabelr_0.2.0 splines_4.1.0
#> [7] Polychrome_1.3.1 BiocParallel_1.26.1 ggplot2_3.3.5
#> [10] digest_0.6.27 foreach_1.5.1 ensembldb_2.16.3
#> [13] htmltools_0.5.1.1 viridis_0.6.1 fansi_0.5.0
#> [16] magrittr_2.0.1 memoise_2.0.0 cluster_2.1.2
#> [19] doParallel_1.0.16 Biostrings_2.60.1 annotate_1.70.0
#> [22] askpass_1.1 prettyunits_1.1.1 colorspace_2.0-2
#> [25] blob_1.2.1 rappdirs_0.3.3 xfun_0.24
#> [28] dplyr_1.0.7 crayon_1.4.1 RCurl_1.98-1.3
#> [31] microbenchmark_1.4-7 jsonlite_1.7.2 impute_1.66.0
#> [34] brew_1.0-6 survival_3.2-11 iterators_1.0.13
#> [37] glue_1.4.2 polyclip_1.10-0 gtable_0.3.0
#> [40] zlibbioc_1.38.0 XVector_0.32.0 GetoptLong_1.0.5
#> [43] DelayedArray_0.18.0 shape_1.4.6 scales_1.1.1
#> [46] data.tree_1.0.0 DBI_1.1.1 Rcpp_1.0.7
#> [49] viridisLite_0.4.0 xtable_1.8-4 progress_1.2.2
#> [52] clue_0.3-59 reticulate_1.20 bit_4.0.4
#> [55] mclust_5.4.7 umap_0.2.7.0 httr_1.4.2
#> [58] RColorBrewer_1.1-2 ellipsis_0.3.2 pkgconfig_2.0.3
#> [61] XML_3.99-0.6 dbplyr_2.1.1 utf8_1.2.1
#> [64] tidyselect_1.1.1 rlang_0.4.11 later_1.2.0
#> [67] AnnotationDbi_1.54.1 munsell_0.5.0 BiocVersion_3.13.1
#> [70] tools_4.1.0 cachem_1.0.5 generics_0.1.0
#> [73] RSQLite_2.2.7 ExperimentHub_2.0.0 evaluate_0.14
#> [76] stringr_1.4.0 fastmap_1.1.0 yaml_2.2.1
#> [79] bit64_4.0.5 purrr_0.3.4 dendextend_1.15.1
#> [82] KEGGREST_1.32.0 AnnotationFilter_1.16.0 mime_0.11
#> [85] slam_0.1-48 xml2_1.3.2 biomaRt_2.48.2
#> [88] compiler_4.1.0 rstudioapi_0.13 filelock_1.0.2
#> [91] curl_4.3.2 png_0.1-7 interactiveDisplayBase_1.30.0
#> [94] tibble_3.1.2 stringi_1.7.3 highr_0.9
#> [97] GenomicFeatures_1.44.0 RSpectra_0.16-0 lattice_0.20-44
#> [100] ProtGenerics_1.24.0 Matrix_1.3-4 vctrs_0.3.8
#> [103] pillar_1.6.1 lifecycle_1.0.0 BiocManager_1.30.16
#> [106] eulerr_6.1.0 GlobalOptions_0.1.2 bitops_1.0-7
#> [109] irlba_2.3.3 httpuv_1.6.1 rtracklayer_1.52.0
#> [112] R6_2.5.0 BiocIO_1.2.0 promises_1.2.0.1
#> [115] gridExtra_2.3 codetools_0.2-18 assertthat_0.2.1
#> [118] openssl_1.4.4 rjson_0.2.20 GenomicAlignments_1.28.0
#> [121] Rsamtools_2.8.0 GenomeInfoDbData_1.2.6 hms_1.1.0
#> [124] skmeans_0.2-13 Cairo_1.5-12.2 scatterplot3d_0.3-41
#> [127] shiny_1.6.0 restfulr_0.0.13