DAVID or GSEA for functional analysis of RNAseq
0
1
Entering edit mode
8.4 years ago
Xingyu Yang ▴ 280

I want to do functional analysis of RNAseq data. I noticed that two most famous approach "DAVID" and "GSEA" use very different way to do this. Thus, the pathways I obtained from them show little overlap.

Just want to ask, which one generally works better? Or both of them have their reason, it's just they have different preference in reporting pathways; then, I need to report pathways from both of them?

In addition, "DAVID" is based on differential expressed genes (DEGs). Will it be biased by the different methods I used to identify DEGs? For example, DESEQ2, EdgeR, or even t-test reports slightly different group of DEGs.

RNA-Seq GSEA functional-analysis DAVID • 3.7k views
ADD COMMENT

Login before adding your answer.

Traffic: 1377 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6