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

WGCNA : 네이버 블로그

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

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

Bayesian Optimized sample-specific Networks Obtained By Omics data (BONOBO)

Figure 3 from Gene co-expression analysis for functional classification and gene–disease predictions

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

Full article: Weighted gene co-expression network analysis (WGCNA) to explore genes responsive to Streptococcus oralis biofilm and immune infiltration analysis in human gingival fibroblasts cells

Integrative Transcriptomic and Metabolomic Analysis at Organ Scale Reveals Gene Modules Involved in the Responses to Suboptimal

Differential gene expression during floral transition in pineapple - Paull - 2023 - Plant Direct - Wiley Online Library

Unsupervised Machine Learning Identifies Chromatin Accessibility Regulatory Networks that Define Cell State Transitions in Pluripotency