Combine the GSEA results from all clusters
1 2 3 4 5 6 7 8 9 10 11 | run_GSEA_all_types(
markers,
organism_db,
organism_name = "human",
show_num = 50,
cluster_col = "group",
enrich_area = "KEGG",
save_path = NULL,
AP = NULL,
...
)
|
markers |
a dataframe containing the fold changes of genes with a
column specified as |
organism_db |
which organism database, for example, org.Hs.eg.db |
show_num |
how many GO/KEGG terms to show. This function will select those terms whose mean absolute fold changes are high |
enrich_area |
either 'GO', 'KEGG' or 'reactome' |
save_path |
save the GSEA results for later usage. GSEA is quite computationally intensive, especially considering that it will be run for all clusters |
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