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Journal of Biopharmaceutical Statistics
Year: 2010  |  Volume: 20  |  Issue: 2  |  Page No.: 281 - 300

Weighted Gene Coexpression Network Analysis: State of the Art

Wei Zhao, Peter Langfelder, Tova Fuller, Jun Dong, Ai Li and Steve Hovarth    

Abstract: Weighted gene coexpression network analysis (WGCNA) has been applied to many important studies since its introduction in 2005. WGCNA can be used as a data exploratory tool or as a gene screening method; WGCNA can also be used as a tool to generate testable hypothesis for validation in independent data sets. In this article, we review key concepts of WGCNA and some of its applications in gene expression analysis of oncology, brain function, and protein interaction data.

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