CRAN/E | WGCNA

WGCNA

Weighted Correlation Network Analysis

Installation

About

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.

Citation WGCNA citation info
horvath.genetics.ucla.edu/html/CoexpressionNetwork/Rpackages/WGCNA/

Key Metrics

Version 1.72-5
R ≥ 3.0
Published 2023-12-07 113 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks WGCNA results

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Maintainer

Maintainer

Peter Langfelder

Peter.Langfelder@gmail.com

Authors

Peter Langfelder
Steve Horvath with contributions by Chaochao Cai
Jun Dong
Jeremy Miller
Lin Song
Andy Yip
Bin Zhang

Material

ChangeLog
Reference manual
Package source

In Views

Omics

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

WGCNA archive

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

Suggests

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

LinkingTo

Rcpp

Reverse Depends

diffcoexp
NetSAM

Reverse Imports

BioM2
BioNAR
BioNERO
CEMiTool
csdR
DGCA
DiPALM
DrDimont
eclust
fastLiquidAssociation
FREEtree
GmicR
GWENA
iNETgrate
Macarron
MACP
MCbiclust
MODA
molnet
MRPC
multiWGCNA
netboost
Patterns
Pigengene
scpoisson
seq2pathway
SPsimSeq
TIN
TOmicsVis

Reverse Suggests

ADAPTS
BioCor
cola
DDPNA
fuzzyforest
GRaNIE
gsean
HiContacts
maGUI
scde
scGPS
scITD
spatialHeatmap

Reverse Enhances

dendextend