nosarcasm/WGCNA: Weighted Correlation Network Analysis
Version 1.63

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.

Getting started

Package details

AuthorPeter Langfelder <[email protected]> and Steve Horvath <[email protected]> with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, Ryan Neff, and Bin Zhang
Date of publication2018-02-20 09:57:50 EST
MaintainerPeter Langfelder <[email protected]>
LicenseGPL (>= 2)
Version1.63
URL http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/Rpackages/WGCNA/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("nosarcasm/WGCNA")
nosarcasm/WGCNA documentation built on Feb. 21, 2018, 12:22 a.m.