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GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics

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GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
CEMiTool: a Bioconductor package for performing comprehensive modular co- expression analyses. - Abstract - Europe PMC
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Weighted gene co‑expression network analysis in identification of key genes and networks for ischemic‑reperfusion remodeling myocardium
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
PDF] Is My Network Module Preserved and Reproducible?
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
CEMiTool: a Bioconductor package for performing comprehensive modular co- expression analyses. - Abstract - Europe PMC
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Comparing significantly enriched biological process GO terms in the 382
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
PDF] Gene co-expression analysis for functional classification and gene–disease predictions
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Differential gene expression during floral transition in pineapple - Paull - 2023 - Plant Direct - Wiley Online Library
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Unsupervised Machine Learning Identifies Chromatin Accessibility Regulatory Networks that Define Cell State Transitions in Pluripotency
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Network topology displayed using the yFiles Organic Layout algorithm in
GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
Comparing Statistical Tests for Differential Network Analysis of Gene Modules. - Abstract - Europe PMC
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