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  • mfahim
    Member
    • Apr 2015
    • 11

    #1

    Problems with q-value in RNAseq

    I have four subjects (one wildtype and three mutants, no replications) at two different conditions (a total of 8 samples).. cuffdiff tells me there is no significant difference based on adjusted p-value (aka q-value).

    This is why I guess q-value is just overrated.. and is not applicable to every RNAseq analysis.

    What do you say?. I have attached expression bar plot to this post and would appreciate your comments on statistics.
    Attached Files
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    FYI, an adjusted p-value and a q-value aren't actually the same thing, though they're related.

    I have no clue how you came to the conclusion that this somehow indicates that adjusted p-values are overrated. This is a good example of how high variance in an under-powered experiment leads to insignificant results. Adjusted p-values have nothing to do with that.

    Compensating for multiple corrections is applicable to EVERY RNAseq analysis like yours.

    Comment

    • mfahim
      Member
      • Apr 2015
      • 11

      #3
      I got an excellent explanation to my querry..

      https://www.biostars.org/p/146223/#146242

      Comment

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