Application of Weighted Gene Co-expression Network Analysis for Data from Paired Design

Investigating how genes jointly affect complex human diseases is important, yet challenging. The network approach (e.g., weighted gene co-expression network analysis (WGCNA)) is a powerful tool. However, genomic data usually contain substantial batch effects, which could mask true genomic signals. P...

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Detalles Bibliográficos
Autores principales: Li, Jianqiang, Zhou, Doudou, Qiu, Weiliang, Shi, Yuliang, Yang, Ji-Jiang, Chen, Shi, Wang, Qing, Pan, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766625/
https://www.ncbi.nlm.nih.gov/pubmed/29330528
http://dx.doi.org/10.1038/s41598-017-18705-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5766625/
https://www.ncbi.nlm.nih.gov/pubmed/29330528
http://dx.doi.org/10.1038/s41598-017-18705-z

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