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  • GO analysis with DAVID and FDR confusion

    Hello
    I recently got a big RNAseq analysis to do downstream analysis and comparison with other
    published experiments. The group analyzed the data with the online tool DAVID for gene ontologies and got very excited about some of the enriched GO Terms.
    I wanted to repeat part of the analysis prior any further comparisons and found in the DAVID output files some strange results.

    The problem is that even though a Benjamini pvalue of <= 0.05 was used to filter significant results the field FDR (false discovery rate) can be pretty high often exceeding 0.05 and sometimes grow as large as e.g. >1.5 .

    Now please correct me if I am wrong, but the way I thought this would be structured is that
    the normal p-value represents the potential significance within the GO Term and the adjusted Benjamini should take into account the potential FDR.

    Does anybody know more about this ?
    Cheers

  • #2
    Yes, Benjamini-Hochberg is a widely-used method to control for FDR. That is the Benjamini column in your DAVID output. Not really sure what the FDR column is....

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    • #3
      Thanks fanli
      It is indeed really strange and I could not find any explanation nowhere.
      At the moment I really hesitate to use these categories if there is a potential of such high FDR values,,,,

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