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Article Dans Une Revue Methods in Molecular Biology Année : 2023

Metabolic Networks: Weighted Gene Correlation Network Analysis

Résumé

Weighted Gene Correlation Network Analysis (WGCNA) is used to build weighted gene networks representing direct interconnections among genes. This method is useful to identify gene modules associated with biological functions, revealing core functional differences between samples. Here, we describe a step-by-step methodology to build a WGCNA network associated with a phenotype of interest. The results can be visualized using Cytoscape and other available software or used as a basis for further functional enrichment analyses.
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Dates et versions

hal-04120273 , version 1 (07-06-2023)

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Lise Desquilles, Orlando Musso. Metabolic Networks: Weighted Gene Correlation Network Analysis. Methods in Molecular Biology, 2023, 2675, pp.317-325. ⟨10.1007/978-1-0716-3247-5_24⟩. ⟨hal-04120273⟩
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