| Literature DB >> 20309759 |
Wei Zhao1, Peter Langfelder, Tova Fuller, Jun Dong, Ai Li, 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.Mesh:
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Year: 2010 PMID: 20309759 DOI: 10.1080/10543400903572753
Source DB: PubMed Journal: J Biopharm Stat ISSN: 1054-3406 Impact factor: 1.051