Construction of a Colorectal Cancer Prognostic Risk Model and Screening of Prognostic Risk Genes Using Machine-Learning Algorithms

This study is aimed at constructing a prognostic risk model for colorectal cancer (CRC) using machine-learning algorithms to provide accurate staging and screening of credible prognostic risk genes. We extracted CRC data from GSE126092 and GSE156355 of the Gene Expression Omnibus (GEO) database and...

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Detalles Bibliográficos
Autores principales: Du, Xuezhi, Qi, Han, Ji, Wenbin, Li, Peiyuan, Hua, Run, Hu, Wenliang, Qi, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578894/
https://www.ncbi.nlm.nih.gov/pubmed/36267311
http://dx.doi.org/10.1155/2022/9408839

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578894/
https://www.ncbi.nlm.nih.gov/pubmed/36267311
http://dx.doi.org/10.1155/2022/9408839

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