WGCNA

Weighted Correlation Network Analysis

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.

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Description file content

Package
WGCNA
Version
1.63
Date
2018-02-26
Title
Weighted Correlation Network Analysis
Author
Peter Langfelder and Steve Horvath with contributions by Chaochao Cai, Jun Dong, Jeremy Miller, Lin Song, Andy Yip, and Bin Zhang
Maintainer
Peter Langfelder
Depends
R (>= 3.0), dynamicTreeCut (>= 1.62), fastcluster
Imports
stats, grDevices, utils, matrixStats (>= 0.8.1), Hmisc, impute, splines, foreach, doParallel, preprocessCore, survival, parallel, GO.db, AnnotationDbi, Rcpp (>= 0.11.0), robust
Suggests
org.Hs.eg.db, org.Mm.eg.db, infotheo, entropy, minet
LinkingTo
Rcpp
ZipData
no
License
GPL (>= 2)
Description
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.
URL
NeedsCompilation
yes
Packaged
2018-02-27 02:22:29 UTC; plangfelder
Repository
CRAN
Date/Publication
2018-02-27 18:01:13 UTC

install.packages('WGCNA')

1.63

5 months ago

Peter Langfelder

GPL (>= 2)

Depends on

R (>= 3.0), dynamicTreeCut (>= 1.62), fastcluster

Imports

stats, grDevices, utils, matrixStats (>= 0.8.1), Hmisc, impute, splines, foreach, doParallel, preprocessCore, survival, parallel, GO.db, AnnotationDbi, Rcpp (>= 0.11.0), robust

Suggests

org.Hs.eg.db, org.Mm.eg.db, infotheo, entropy, minet

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