Machine learning with in silico analysis markedly improves survival prediction modeling in colon cancer patients

BACKGROUND: Predicting the survival of cancer patients provides prognostic information and therapeutic guidance. However, improved prediction models are needed for use in diagnosis and treatment. OBJECTIVE: This study aimed to identify genomic prognostic biomarkers related to colon cancer (CC) based...

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Detalles Bibliográficos
Autores principales: Lee, Choong‐Jae, Baek, Bin, Cho, Sang Hee, Jang, Tae‐Young, Jeon, So‐El, Lee, Sunjae, Lee, Hyunju, Nam, Jeong‐Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067044/
https://www.ncbi.nlm.nih.gov/pubmed/36345155
http://dx.doi.org/10.1002/cam4.5420

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067044/
https://www.ncbi.nlm.nih.gov/pubmed/36345155
http://dx.doi.org/10.1002/cam4.5420

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