Dear Peter, I have another question about WGCNA. I am using the package for meta-analysis to find modules preserved in several datasets. However, I am unsure how to handle the softpower, because each dataset has its own ideal scale indepence value. When combining several datasets what should I do? - pick the lowest scale indepence value and use this for all datasets? - calculate an average scale indepence value of the datasets, and use this one? - use different scale indepence values for different datasets, all though combining them later on? - or something else, which I havent thought of?
Hope you can help me! Many thanks! Kind regards, Inge -- View this message in context: http://r.789695.n4.nabble.com/wgcna-tp3649354p4638677.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
