GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package, BMC Bioinformatics
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Identification of the hub genes in gastric cancer through weighted gene co-expression network analysis [PeerJ]
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Unsupervised Machine Learning Identifies Chromatin Accessibility Regulatory Networks that Define Cell State Transitions in Pluripotency
Plants, Free Full-Text
Plants, Free Full-Text
Multiscale Embedded Gene Co-expression Network Analysis
Multiscale Embedded Gene Co-expression Network Analysis
Unsupervised Machine Learning Identifies Chromatin Accessibility Regulatory Networks that Define Cell State Transitions in Pluripotency
Comparing significantly enriched biological process GO terms in the 382
Weighted gene co‑expression network analysis in identification of key genes and networks for ischemic‑reperfusion remodeling myocardium
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