WGCNA (Weighted correlation network analysis)

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Weighted correlation network analysis

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.

Langfelder P, Horvath S (2008) WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics 2008, 9:559

How to use our application
It's necessary to first read our tutorial on how to use this application. After that, you will probably find it easy to use.