get_leading_edge_genes: Get the leading edge genes from GSEA results

In scITD: Single-Cell Interpretable Tensor Decomposition

Get the leading edge genes from GSEA results

Description

Get the leading edge genes from GSEA results

Usage

get_leading_edge_genes(container, factor_select, gsets, num_genes_per = 5)

Arguments

container	environment Project container that stores sub-containers for each cell type as well as results and plots from all analyses
factor_select	numeric The factor to get results for
gsets	character A vector of gene set names to get leading edge genes for.
num_genes_per	numeric The maximum number of leading edge genes to get for each gene set (default=5)

Value

A named character vector of gene sets, with leading edge genes as the names.

scITD documentation built on Sept. 8, 2023, 5:11 p.m.