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@jasontaotaotan-23946
Last seen 24 days ago
United States

Hi everyone,

I know WGCNA is not hosted here. But I have a very general question about WGCNA:

One critical step in WGCNA pipeline is to calculate the correlation between eigen-genes and traits. Besides the correlation, we also calculate a p value for each correlation using corPvalueStudent(). I thought that’s a typical multiple hypothesis testing problem since we are testing many traits against many eigen-genes. Now the question is: should we adjust the p-value?

I didn’t see many people discussing this, although WGCNA is a very popular software. Even in the official tutorial, they are using the un-adjusted p-value. Isn't this problematic?

Best,
Taotao

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