Remove low-expressed genes in DESeq2?
1
0
Entering edit mode
erbrocato • 0
@dfeb9251
Last seen 21 days ago
United States

Hi,

I have run my initial analysis without filtering for low-expressing genes, given DESeq2's independent filtering procedure. Due to the low number of significant genes returned when using an FDR, we have opted to use an unadjusted p-value cutoff so that we can generate a gene list of sufficient length for GO analysis. Because DESeq2's independent filtering informs the FDR adjustment, is it recommended that I remove low-expressing genes prior to running DESeq2 if I'm using an unadjusted p-value? Or is the independent filtering threshold considered when using an unadjusted p-value cutoff as well? I am using DESeq2 v1.32.0.

Thanks for your help, Emily

DESeq2 lowcountgenes deseq2 independent • 833 views
ADD COMMENT
0
Entering edit mode

It is not clear to me that anyone will recommend you use unadjusted p-values under any circumstances. If your treatment or whatever really doesn't change many genes, playing games with the math is not going to make the experiment better.

ADD REPLY

Login before adding your answer.

Traffic: 787 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