Predictors of colorectal cancer survival using cox regression and random survival forests models based on gene expression data

Understanding and identifying the markers and clinical information that are associated with colorectal cancer (CRC) patient survival is needed for early detection and diagnosis. In this work, we aimed to build a simple model using Cox proportional hazards (PH) and random survival forest (RSF) and fi...

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Detalles Bibliográficos
Autores principales: Mohammed, Mohanad, Mboya, Innocent B., Mwambi, Henry, Elbashir, Murtada K., Omolo, Bernard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716055/
https://www.ncbi.nlm.nih.gov/pubmed/34965262
http://dx.doi.org/10.1371/journal.pone.0261625

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8716055/
https://www.ncbi.nlm.nih.gov/pubmed/34965262
http://dx.doi.org/10.1371/journal.pone.0261625

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