Don't use p-value for GO-MWU if you have RNA-seq data! #1342
aspencoyle
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Thanks for posting this!! I'm guessing this doesn't affect using module membership scores from WGCNA data? |
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While writing up my results, I noticed a change in the official GO-MWU README file. In June, they added the following section:
NOTE: In read-based gene expression analysis (RNA-seq, TagSeq) p-values may be biased towards highly abundant genes, especially when the read depth is low. This may result in the corresponding GO bias. Use log2-fold changes to avoid this.
I switched all my GO-MWU analyses from unadjusted p-value to log2-fold change as a result, and saw some quite substantial changes in the output. So if you ran GO-MWU on RNA-seq data a while back, you definitely might want to redo those analyses!
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