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

Multiscale Embedded Gene Co-expression Network Analysis

Frontiers Application of Machine Learning and Weighted Gene Co-expression Network Algorithm to Explore the Hub Genes in the Aging Brain

Improved gene co-expression network quality through expression dataset down-sampling and network aggregation

Network topology displayed using the yFiles Organic Layout algorithm in

Interaction between phenylpropane metabolism and oil accumulation in the developing seed of Brassica napus revealed by high temporal-resolution transcriptomes, BMC Biology

Papers and Relevant Publications

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

PDF) GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package

Weighted gene co‑expression network analysis in identification of key genes and networks for ischemic‑reperfusion remodeling myocardium

benchmarkR/vignettes/myrefs.bib at master · markrobinsonuzh/benchmarkR · GitHub

PDF) GCEN: An Easy-to-Use Toolkit for Gene Co-Expression Network Analysis and lncRNAs Annotation

Transcriptome Analysis and Weighted Gene Co-expression Network Reveal Multitarget-Directed Antibacterial Mechanisms of Benzyl Isothiocyanate against Staphylococcus aureus