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  • renuka22
    Member
    • Mar 2017
    • 22

    #1

    p-value and fold change

    Hello,

    I got my rna-seq analysis from the company and they have assigned p-value to each gene. Is it possible to have a p-value from only one set of data since I had sent only one batch and there were no replicates? Also, some of my genes have p>0.05 (not differentially expressed) but high fold-change increase. So which of the two should be considered important - p-value or fold change?

    Thanks
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    If you only sent them single samples from your groups then the p-values are largely meaningless. There's not a direct correspondence between fold-change and p-value, since lowly expressed genes will randomly show higher fold-changes (i.e., the p-value is a function of expression level and fold change).

    Comment

    • renuka22
      Member
      • Mar 2017
      • 22

      #3
      Ok. But can the p-value be between my control and treatment samples as this is what they mentioned in their analysis and p<0.05 means those genes are differentially expressed?

      Thanks

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        The presumption is that the p-value is from a poisson test, so yes it's between the two samples.

        Yes, p<0.05 would normally mean differentially expressed, aside from the fact that the p-values in your case are largely meaningless.

        Comment

        • renuka22
          Member
          • Mar 2017
          • 22

          #5
          So I guess the p-value is between technical replicates hence meaningless. Thanks a lot!

          Comment

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