WGCNA using DEG data

Question

[kris.yamada]

Hello, I have 3 sets of filtered data points (each set contain logFC and pval values) for a list of genes. My aim is to identify subset of genes (from my gene list) that behave similarly across the 3 sets. Do not have raw data. WGCNA says "We do not recommend filtering genes by differential expression. WGCNA is designed to be an unsupervised analysis method that clusters genes based on their expression profiles. Filtering genes by differential expression will lead to a set of correlated genes that will essentially form a single (or a few highly correlated) modules."

Is there a way to use WGCNA just based on logFC and pval (the kind of data I have)?

or what similar (other) methods can I use?

Would appreciate any help.

Thank you

[andres.firrincieli]

I don't know about other methods but you can't use WGCNA with this type of data.

[kris.yamada]

Alright, thank you.