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Metabolic Networks: Weighted Gene Correlation Network Analysis.
- Source :
-
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2023; Vol. 2675, pp. 317-325. - Publication Year :
- 2023
-
Abstract
- 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.<br /> (© 2023. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.)
Details
- Language :
- English
- ISSN :
- 1940-6029
- Volume :
- 2675
- Database :
- MEDLINE
- Journal :
- Methods in molecular biology (Clifton, N.J.)
- Publication Type :
- Academic Journal
- Accession number :
- 37258774
- Full Text :
- https://doi.org/10.1007/978-1-0716-3247-5_24