multiWGCNA
This is the development version of multiWGCNA; for the stable release version, see multiWGCNA.
multiWGCNA
Bioconductor version: Development (3.21)
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:
Maintainer: Dario Tommasini <dtommasini0 at gmail.com>
citation("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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("multiWGCNA")| Astrocyte multiWGCNA network | HTML | R Script |
| General Workflow | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Clustering, DifferentialExpression, GeneExpression, RNASeq, Regression, Sequencing, Software |
| Version | 1.5.0 |
| In Bioconductor since | BioC 3.18 (R-4.3) (1 year) |
| 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 | |
| URL |
See More
| Suggests | BiocStyle, doParallel, ExperimentHub, knitr, markdown, rmarkdown, testthat (>= 3.0.0), vegan |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | multiWGCNAdata |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | multiWGCNA_1.5.0.tar.gz |
| Windows Binary (x86_64) | multiWGCNA_1.5.0.zip (64-bit only) |
| macOS Binary (x86_64) | multiWGCNA_1.5.0.tgz |
| macOS Binary (arm64) | multiWGCNA_1.5.0.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 |