WGCNA: Weighted Correlation Network Analysis

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data as originally described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128> and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559>. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.

Getting started

Package details

AuthorPeter Langfelder <Peter.Langfelder@gmail.com> and Steve Horvath <SHorvath@mednet.ucla.edu> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
MaintainerPeter Langfelder <Peter.Langfelder@gmail.com>
LicenseGPL (>= 2)
Version1.69
URL http://horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("WGCNA")

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WGCNA documentation built on March 26, 2020, 7:18 p.m.