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Pipeline for augmented co-expression analysis

Bioconductor version: Release (3.19)

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>

Citation (from within R, enter citation("GWENA")):


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biocViews Clustering, GO, GeneExpression, GeneSetEnrichment, GraphAndNetwork, Microarray, Network, NetworkEnrichment, Pathways, RNASeq, Sequencing, Software, Transcriptomics, Visualization, mRNAMicroarray
Version 1.14.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License GPL-3
Depends R (>= 4.1)
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 (>=, RColorBrewer (>= 1.1-2), purrr (>= 0.3.3), rlist (>=, matrixStats (>= 0.55.0), SummarizedExperiment(>= 1.14.1), stringr (>= 1.4.0), cluster (>= 2.1.0), grDevices (>= 4.0.4), methods, graphics, stats, utils
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