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BMC Bioinformatics2008

WGCNA: an R package for weighted correlation network analysis

这篇文献会作为平台方法、软件或流程的证据来源,用于帮助理解方法背景和应用边界。

期刊
BMC Bioinformatics
年份
2008
关联状态
已关联平台资源

Authors

作者信息

用于判断研究团队、方法出处和后续引用线索。

Peter Langfelder, Steve Horvath

Abstract

摘要

先读摘要确认研究问题、方法贡献和适用数据类型,再进入关联流程复现。

This paper presents the WGCNA R package, a comprehensive collection of functions for performing weighted gene co-expression network analysis. WGCNA identifies gene modules based on pairwise correlations, relates modules to external sample traits, and calculates module membership measures. It has become an essential tool for systems biology and co-expression network studies.