sc_geneset_enrich: Geneset Enrichment (GSE) on scRNAseq Data Calculates single...

View source: R/geneset_enrichment.R

sc_geneset_enrichR Documentation

Geneset Enrichment (GSE) on scRNAseq Data Calculates single cell GSE scores using "AUCell" method

Description

Geneset Enrichment (GSE) on scRNAseq Data Calculates single cell GSE scores using "AUCell" method

Usage

sc_geneset_enrich(seu1, geneset_list, norm_method = "SCTransform", n_cores = 1)

Arguments

seu1

Output of UMI count matrix normalized by Seurat workflows

geneset_list

a List of gene/Transcript features. Preferably all or at least 1 feature in each geneset must be present in the rownames of the expression matrix.

norm_method

"SCTransform" or "NormalizeData". Defaults to "SCTransform"

n_cores

Integer of length 1. Specifies the number of parallel cores running the function. Defaults to 1

Value

data.frame holding geneset enrichment values for each geneset (columns) and for each cell (rows).

Author(s)

Tolga Turan, tolga.turan@abbvie.com

References

http://github.com/tolgaturan-github/IBRIDGE

Examples

enrichment_scores1<-sc_geneset_enrich(seu1, geneset_list1, "SCTransform", 100)

tolgaturan-github/IBRIDGE documentation built on July 30, 2023, 12:08 p.m.