Predicting glioblastoma prognosis networks using weighted gene co-expression network analysis on TCGA data

BACKGROUND: Using gene co-expression analysis, researchers were able to predict clusters of genes with consistent functions that are relevant to cancer development and prognosis. We applied a weighted gene co-expression network (WGCN) analysis algorithm on glioblastoma multiforme (GBM) data obtained...

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Detalles Bibliográficos
Autores principales: Xiang, Yang, Zhang, Cun-Quan, Huang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305748/
https://www.ncbi.nlm.nih.gov/pubmed/22536863
http://dx.doi.org/10.1186/1471-2105-13-S2-S12

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305748/
https://www.ncbi.nlm.nih.gov/pubmed/22536863
http://dx.doi.org/10.1186/1471-2105-13-S2-S12

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