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  • How to adjust the p values of edgeR?

    Hi every one,

    I am trying adjust the p values of my two-treatment comparison by edgeR. I am not sure if FDR need to be calculated with topTags before the adjustion, because exactTest just gives the p values without FDR.

    In addition, how can I extract the DE genes with padjusted <= 0.05 from the following dataframe.

    logFC logCPM PValue FDR padjusted
    GB49890-RA 5.557823 7.1075888 1.018805e-43 1.978520e-40 1.978520e-40
    GB46236-RA 4.667221 0.7197219 7.988596e-19 5.921318e-17 5.921318e-17
    GB52184-RA 4.516693 1.3326365 1.519341e-23 2.269662e-21 2.269662e-21
    GB50109-RA 4.477469 3.9928677 3.167978e-07 2.177004e-06 2.177004e-06
    GB48922-RA -4.305247 2.7841370 4.546438e-29 2.006632e-26 2.006632e-26
    GB40248-RA 4.127615 7.1749037 9.026131e-28 3.130133e-25 3.130133e-25

    Thanks a lot!!

    Richard

  • #2
    topTags outputs adjusted p-values in the FDR column. The default method is BH, which I think is also the default for p.adjust().

    For subsetting either type "help(subset)" or just google "R data frame subset" for other methods.

    Comment


    • #3
      Thank you very much, Devon!
      I got it.

      Comment


      • #4
        Hi Devon,
        After I finished my analysis, I got over 700 upregulated genes.
        Do you think that the number is reasonable?
        Thanks!

        Richard

        Comment


        • #5
          Hard to say. Reasonable is pretty dependent on the underlying manipulation and sample number. If you're studying something like cancer (or anything else where you expect a pretty big number of differences) then that'd be entirely reasonable. I work on epigenetic inheritance, where that would be way too many DE genes.

          Comment

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