K-Module Algorithm: An Additional Step to Improve the Clustering Results of WGCNA Co-Expression Networks

Among biological networks, co-expression networks have been widely studied. One of the most commonly used pipelines for the construction of co-expression networks is weighted gene co-expression network analysis (WGCNA), which can identify highly co-expressed clusters of genes (modules). WGCNA identi...

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Detalles Bibliográficos
Autores principales: Hou, Jie, Ye, Xiufen, Li, Chuanlong, Wang, Yixing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828115/
https://www.ncbi.nlm.nih.gov/pubmed/33445666
http://dx.doi.org/10.3390/genes12010087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828115/
https://www.ncbi.nlm.nih.gov/pubmed/33445666
http://dx.doi.org/10.3390/genes12010087

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