Hi Biostars!
I am analyzing a set of samples from males and females in WGCNA, relating module eigengenes to case-control status separately, in males and females. I observed some associations between case-control status and some modules in males, but not in females. However, I noticed that I had more males than females to start with (and males had a higher proportion of cases, which could be skewing my results?). To test if my trait-module association in males was being driven by the excess in cases in the males cohort relative to the female cohort, I've subsetted the male cohort [so that this now has the same number of cases and controls that there were in the females cohort]. The number of modules observed in this new analysis is the same, but the number of genes attributed to each module eigengene has changed, as expected. Is there a way to identify the preservation/correlation between modules calculated in these two analyses?
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Sorry, this was a stupid question - I can just try calculating a consensus network using the full female set, the full male set, and the subsetted male set (three sets in one go)... That just came to me as soon as I pressed enter on this question lol (But I will leave the question here, because I am not sure of the implications of including some of the same data twice in the analysis...)
Sure thing - no worries. Hope all is well back in London.