This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

multiWGCNA

This is the development version of multiWGCNA; to use it, please install the devel version of Bioconductor.

multiWGCNA

Bioconductor version: Development (3.18)

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 "4.3") 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

Reference Manual PDF

Details

biocViews Clustering, DifferentialExpression, GeneExpression, RNASeq, Regression, Sequencing, Software
Version 0.99.3
In Bioconductor since BioC 3.18 (R-4.3)
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
Linking To
Suggests doParallel, ExperimentHub, knitr, markdown, rmarkdown, testthat (>= 3.0.0), vegan
System Requirements
Enhances
URL
See More
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
Windows Binary multiWGCNA_0.99.3.zip
macOS Binary (x86_64) multiWGCNA_0.99.3.tgz
macOS Binary (arm64)
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