Hello,
I'm trying to figure out if there is a way to perform what I'm going to describe in DESEQ2. In the past, I used the workflow RNASeqGeneEdgeRQL to perform differential expression analysis. More specifically, in the paragraph 'Analysis of Deviance', it's described how to extend a comparison between two groups to three or more, in a specific experimental design.
Like in my previous post, let's assume it is:
Sample Variable1 Variable2
1 A x
2 A x
3 A x
4 A y
5 A y
6 A y
7 B x
8 B x
9 B x
10 B y
11 B y
12 B y
The aim is to identify genes which are DE among 3 or more groups (So, for istance, among the comparisons A.x-A.y , B.x-B.y and A.x-B.x). An output table is reported, showing logFoldChange and logCPM for each group, and single statistical values (p-value, FDR, F-statistic, in edgeR's case).
I'd like to perform an equivalent analysis in DESEQ2,
Thanks in advance for your help.
Alright, I'll copy my question there