clust_group_cores: clust_group_cores

In GSEAmining: Make Biological Sense of Gene Set Enrichment Analysis Outputs

Description

Takes the output of clust_groups, a data frame , and process it to obtain the enrichment of genes in the core enrichment (or leading edge analysis) within each cluster. The output is used in the functions gm_enrichcores and gm_enrichreport.

Usage

clust_group_cores(cg, top = 3)

Arguments

cg	A data frame output from the GSEAmining clusts_groups function.
top	An integer to choose the top most enriched genes to plot per cluster. The default parameter are the top 3.

Value

A tibble with four variables (Cluster, Enrichment, lead_token, n).

Examples

data(genesets_sel)
gs.cl <- gm_clust(genesets_sel)
clust.groups <- clust_groups(genesets_sel, gs.cl)
clust.lead <- clust_group_cores(clust.groups, top = 3)

GSEAmining documentation built on Nov. 8, 2020, 5:52 p.m.