DESeq2: thousands of NA for pvalues?
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Last seen 9 months ago

I have a RNA seq data which I am trying to identify DEGs. Dataset contains three sets of Untreated - 2 replicates and Treated - 2 replicates. My DEseq2 results shows padj values NA and some p values and padj values as zero. A total of 3000 genes shows such result.

I tried using res <- results(dds, independentFiltering = F) and res <- results(dds, cooksCutoff=FALSE) but I am unable to understand what difference both of these filtering makes

Is it good to use independentFiltering = F or cooksCutoff=FALSE for 3000 genes which shows padj values NA and some p values and padj values as zero

Can anyone please help me how to solve this.

deseq2 rna-seq DEGs cooks cutoff • 5.6k views
Entering edit mode
Last seen 10 hours ago
United States

The mechanism that sets adjusted p-values or p-values to NA is listed in the FAQ:


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