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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...
Autores principales: | Zhang, Lina, Qian, Yucheng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
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 |
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