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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

Reference Manual PDF

Details

biocViews Clustering, DifferentialExpression, GeneExpression, RNASeq, Regression, Sequencing, Software
Version 1.1.3
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
System Requirements
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Suggests BiocStyle, doParallel, ExperimentHub, knitr, markdown, rmarkdown, testthat (>= 3.0.0), vegan
Linking To
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Imports Me
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Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
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
Package Short Url https://bioconductor.org/packages/multiWGCNA/
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