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Updated: Jun 14, 2026

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
Published on: October 19, 2021
Weighted gene coexpression network analysis: state of the art
Wei Zhao1, Peter Langfelder, Tova Fuller
1Department of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee, USA. wei.zhao@stjude.org
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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