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Introduction to Weighted Gene Co-expression Network Analysis

Laura Saba, PhD

Pre-reading

"Good Enough Solutions" and the genetics of diseases - this paper from Jake Lusis's group is a great introduction to why co-expression network analyses are important and what they can contribute to the study of complex genetic traits

A General Framework for Weighted Gene Co-Expression Network Analysis - This is one of the initial papers from Steve Horvath and Bin Zhang that describes the WGCNA method including a more detailed look at the statistical aspects.

WGCNA: an R package for weighted correlation network analysis - This is the original manuscript by Steve Horvath and Peter Langfelder that introduces the wgcna package for R.

Other resources

Steve Horvath's and Peter Langfelder's tutorials for WGCNA R package

Is my network preserved and reproducible? - this paper from Peter Langfelder, Rui Luo, Michael C. Oldham, and Steve Horvath includes details about calculating preservation of WGCNA co-expression modules

Materials from Webinar

Webinar slides