An epithelial–mesenchymal transition-related prognostic model for colorectal cancer based on weighted gene co-expression network analysis

OBJECTIVE: To identify susceptibility modules and genes for colorectal cancer (CRC) using weighted gene co-expression network analysis (WGCNA). METHODS: Four microarray datasets were downloaded from the Gene Expression Omnibus database. We divided the tumor samples into three subgroups based on cons...

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Detalles Bibliográficos
Autores principales: Zhang, Lina, Qian, Yucheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Pre-Clinical Research Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751178/
https://www.ncbi.nlm.nih.gov/pubmed/36510452
http://dx.doi.org/10.1177/03000605221140683

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751178/
https://www.ncbi.nlm.nih.gov/pubmed/36510452
http://dx.doi.org/10.1177/03000605221140683

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