RegulonScores

Calculate expression scores for TF Regulons

Usage

RegulonScores(
  seurat_obj,
  target_type = "positive",
  cor_thresh = 0.05,
  exclude_grey_genes = TRUE,
  wgcna_name = NULL,
  ...
)

Arguments

seurat_obj

A Seurat object

target_type

Which types of TF target genes to compute scores for? "positive", "negative", or "both"

cor_thresh

threshold for TF-gene correlation for genes to be included in the regulon score

exclude_grey_genes

option to exclude genes that are in the grey module from the regulon scores

wgcna_name

name of the WGCNA experiment

Value

seurat_obj with the TF Regulon Scores added

Details

RegulonScores calculates expression signatures for each TF regulon using the UCell algorithm This function can calculate separate scores for TF regulons for target genes that are positively or negatively correlated with the TF, representing putative acivated or repressed genes. These scores conveniently summarize the expression levels of the entire TF regulon, similar to module eigengenes for the co-expression network analyssis.