WGCNA: Weighted Correlation Network Analysis
Version 1.60

Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. 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.

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
Date of publication2017-07-10 05:27:53 UTC
MaintainerPeter Langfelder <Peter.Langfelder@gmail.com>
LicenseGPL (>= 2)
Version1.60
URL http://www.genetics.ucla.edu/labs/horvath/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 July 10, 2017, 9:01 a.m.