I have a RNA seq data which I am trying to identify DEGs.
Dataset contains
Untreated - 2 replicates (time point 0hr)
Treated - 4 replicates (2 replicates at 6hr and 2 replicates at 12 hr)
I merged all the samples and tried to identify DEGs untreated vs treated.
Is it correct to merge all samples and compare. Or should I compare the two time point treated samples with untreated as 0hr vs 6hr and 0hr vs 12hr.
I'd recommend a LRT where you find any changes at any time point. See the vignette on the LRT. You would use a reduced design of ~1 (no changes over time).
After doing the LRT test, to identify the significant genes the cutoff used was adjP<0.05. Approximately 10000 genes were obtained after cutoff. Can you use rlog transformation as normalization on these 10000 genes for gene co-expression network construction. Does doing LRT test will make any change in construction of a co-expression network
After doing the LRT test, to identify the significant genes the cutoff used was adjP<0.05. Approximately 10000 genes were obtained after cutoff. Can you use rlog transformation as normalization on these 10000 genes for gene co-expression network construction. Does doing LRT test will make any change in construction of a co-expression network
Looks like this was answered here:
A: DESeq LRT test and construction of Co-expression network