WebThe WGCNA R package builds “weighted gene correlation networks for analysis” from expression data. It was originally published in 2008 and cited as the following: Langfelder, P. and Horvath, S., 2008. WGCNA: an R … WebMar 30, 2024 · The purpose of this study is to identify critical genes associated with FGR through an integrated bioinformatics approach and explore the potential pathogenesis of FGR. Methods: We downloaded FGR-related gene microarray data, used weighted gene co-expression network analysis (WGCNA), differentially expressed genes (DEGs), and …
Protein-Protein Interactions Analysis - creative-proteomics.com
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PyGNA: a unified framework for geneset network analysis
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