This is the development version of multiWGCNA; for the stable release version, see multiWGCNA.
multiWGCNABioconductor version: Development (3.22)
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] ORCID: 0000-0002-1214-6547 , Brent Fogel [aut, ctb]
Maintainer: Dario Tommasini <dtommasini0 at gmail.com>
Citation (from within R, entercitation("multiWGCNA")): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("multiWGCNA")Follow Installation instructions to use this package in your R session.
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