multiWGCNA

DOI: 10.18129/B9.bioc.multiWGCNA  

This is the development version of multiWGCNA; for the stable release version, see multiWGCNA.

multiWGCNA

Bioconductor version: Development (3.19)

An R package for deeping mining gene co-expression networks in multi-trait expression data. Provides functions for analyzing, comparing, and visualizing WGCNA networks across conditions. multiWGCNA was designed to handle the common case where there are multiple biologically meaningful sample traits, such as disease vs wildtype across development or anatomical region.

Author: Dario Tommasini [aut, cre] , Brent Fogel [aut, ctb]

Maintainer: Dario Tommasini <dtommasini0 at gmail.com>

Citation (from within R, enter citation("multiWGCNA")):

Installation

To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("multiWGCNA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("multiWGCNA")

 

HTML R Script Astrocyte multiWGCNA network
HTML R Script General Workflow
PDF   Reference Manual
Text   NEWS

Details

biocViews Clustering, DifferentialExpression, GeneExpression, RNASeq, Regression, Sequencing, Software
Version 1.1.0
In Bioconductor since BioC 3.18 (R-4.3) (< 6 months)
License GPL-3
Depends R (>= 4.3.0), ggalluvial
Imports stringr, readr, WGCNA, dplyr, reshape2, data.table, patchwork, scales, igraph, flashClust, ggplot2, dcanr, cowplot, ggrepel, methods, SummarizedExperiment
LinkingTo
Suggests BiocStyle, doParallel, ExperimentHub, knitr, markdown, rmarkdown, testthat (>= 3.0.0), vegan
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me multiWGCNAdata
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package multiWGCNA_1.1.0.tar.gz
Windows Binary multiWGCNA_1.1.0.zip
macOS Binary (x86_64) multiWGCNA_1.1.0.tgz
macOS Binary (arm64) multiWGCNA_1.1.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/multiWGCNA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/multiWGCNA
Bioc Package Browser https://code.bioconductor.org/browse/multiWGCNA/
Package Short Url https://bioconductor.org/packages/multiWGCNA/
Package Downloads Report Download Stats

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