Bioconductor version: Release (3.13)
The development of high-throughput sequencing led to increased use of co-expression analysis to go beyong single feature (i.e. gene) focus. We propose GWENA (Gene Whole co-Expression Network Analysis) , a tool designed to perform gene co-expression network analysis and explore the results in a single pipeline. It includes functional enrichment of modules of co-expressed genes, phenotypcal association, topological analysis and comparison of networks configuration between conditions.
Author: Gwenaƫlle Lemoine [aut, cre] , Marie-Pier Scott-Boyer [ths], Arnaud Droit [fnd]
Maintainer: Gwenaƫlle Lemoine <lemoine.gwenaelle at gmail.com>
Citation (from within R,
enter citation("GWENA")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("GWENA")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GWENA")
HTML | R Script | GWENA-vignette |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, GO, GeneExpression, GeneSetEnrichment, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Pathways, RNASeq, Sequencing, Software, Transcriptomics, Visualization, mRNAMicroarray |
Version | 1.2.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (1 year) |
License | GPL-3 |
Depends | R (>= 4.0.0) |
Imports | WGCNA (>= 1.67), dplyr (>= 0.8.3), dynamicTreeCut (>= 1.63-1), ggplot2 (>= 3.1.1), gprofiler2 (>= 0.1.6), magrittr (>= 1.5), tibble (>= 2.1.1), tidyr (>= 1.0.0), NetRep (>= 1.2.1), igraph (>= 1.2.4.1), RColorBrewer (>= 1.1-2), purrr (>= 0.3.3), rlist (>= 0.4.6.1), matrixStats (>= 0.55.0), SummarizedExperiment(>= 1.14.1), stringr (>= 1.4.0), cluster (>= 2.1.0), grDevices (>= 4.0.4), methods, graphics, stats, utils |
LinkingTo | |
Suggests | testthat (>= 2.1.0), knitr (>= 1.25), rmarkdown (>= 1.16), prettydoc (>= 0.3.0), httr (>= 1.4.1), S4Vectors(>= 0.22.1), BiocStyle(>= 2.15.8) |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/Kumquatum/GWENA/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | GWENA_1.2.0.tar.gz |
Windows Binary | GWENA_1.2.0.zip |
macOS 10.13 (High Sierra) | GWENA_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/GWENA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/GWENA |
Package Short Url | https://bioconductor.org/packages/GWENA/ |
Package Downloads Report | Download Stats |
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