An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks

BACKGROUND: Weighted Gene Co-expression Network Analysis (WGCNA) is a widely used R software package for the generation of gene co-expression networks (GCN). WGCNA generates both a GCN and a derived partitioning of clusters of genes (modules). We propose k-means clustering as an additional processin...

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Detalles Bibliográficos
Autores principales: Botía, Juan A., Vandrovcova, Jana, Forabosco, Paola, Guelfi, Sebastian, D’Sa, Karishma, Hardy, John, Lewis, Cathryn M., Ryten, Mina, Weale, Michael E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389000/
https://www.ncbi.nlm.nih.gov/pubmed/28403906
http://dx.doi.org/10.1186/s12918-017-0420-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389000/
https://www.ncbi.nlm.nih.gov/pubmed/28403906
http://dx.doi.org/10.1186/s12918-017-0420-6

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