Weighted correlation network analysis (WGCNA) is an analytical pipeline proposed by Peter Langfelder and Steve Horvath, and implemented as an R package with the help of many other contributors. We adopt the pipeline from this package for finding modules of highly correlated genes based on a soft-thresholding co-expression network, and provide it as an stand-alone web service for our Lynx users.
