ReprocessedTh2

Hierarchical consensus partitioning analysis on dataset ‘ReprocessedTh2’

Runnable code:

library(cola)
library(scRNAseq)
data = ReprocessedTh2Data()
mat = assays(data)$rsem_tpm
mat = log2(mat + 1)
mat = adjust_matrix(mat)

anno = colData(data)[, c("NREADS")]
anno = as.data.frame(anno)

rh = hierarchical_partition(mat, subset = 500, cores = 4, anno = anno)
saveRDS(rh, file = "ReprocessedTh2_cola_rh.rds")


cola_report(rh, output = "ReprocessedTh2_cola_rh_report", title = "cola Report for Hierarchical Partitioning - 'ReprocessedTh2'")

The HTML report is here. (generated by cola version 2.0.0, R 4.1.0.)