I have several RNA-seq studies where the same null hypothesis was tested. I analyzed each study with DESeq and as output have p-values and FDR values. I would like to do a meta analysis. By default DESeq2 produces two-sided p-values. For combine.test() function in R I need one sided p-values. So, my idea is just to do divide FDR values by 2: and use them in combine.test(FDR/2). And to get back to two-sided test, I multiply by two the combined p values. Would it be theoretically the right approach?
Question: meta analysis of p values from deseq2 output
4.8 years ago by
tonja.r • 470
tonja.r • 470 wrote:
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