Open YMSWhuang opened 2 years ago
直接讲H改为你想要的基因集即可
First, you can use msigdbr::msigdbr_collections to view all available collections gene sets
> msigdbr::msigdbr_collections()
# A tibble: 23 × 3
gs_cat gs_subcat num_genesets
<chr> <chr> <int>
1 C1 "" 278
2 C2 "CGP" 3368
3 C2 "CP" 29
4 C2 "CP:BIOCARTA" 292
5 C2 "CP:KEGG" 186
6 C2 "CP:PID" 196
7 C2 "CP:REACTOME" 1604
8 C2 "CP:WIKIPATHWAYS" 615
9 C3 "MIR:MIR_Legacy" 221
10 C3 "MIR:MIRDB" 2377
# … with 13 more rows
If you want to use KEGG gene sets, you can do it:
pbmc3k.final <- irGSEA.score(object = pbmc3k.final, assay = "RNA", slot = "data", msigdb = T, species = "Homo sapiens", category = "C2", subcategory="CP:KEGG",geneid = "symbol", method = c("AUCell"), kcdf = 'Gaussian')
Thanks for your reply. I will try it :)
您好,很感谢能有这么一个整合好的R包直接使用,我有几个问题。1.irGSEA.score中的category = "H",其中H是否可以修改为C2,C5等以便分析GO/KEGG通路,能提供一下应该如何修改?2.我看简书中提到了9种方法,包括AddModuleScore,Z-score等,后期是否因为需要考虑样本组成而被排除了,目前仅使用"AUCell", "UCell", "singscore", "ssgsea"4种方法,谢谢