Prognosis of lasso-like penalized Cox models with tumor profiling improves prediction over clinical data alone and benefits from bi-dimensional pre-screening

BACKGROUND: Prediction of patient survival from tumor molecular ‘-omics’ data is a key step toward personalized medicine. Cox models performed on RNA profiling datasets are popular for clinical outcome predictions. But these models are applied in the context of “high dimension”, as the number p of c...

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Detalles Bibliográficos
Autores principales: Jardillier, Rémy, Koca, Dzenis, Chatelain, Florent, Guyon, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533541/
https://www.ncbi.nlm.nih.gov/pubmed/36199072
http://dx.doi.org/10.1186/s12885-022-10117-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533541/
https://www.ncbi.nlm.nih.gov/pubmed/36199072
http://dx.doi.org/10.1186/s12885-022-10117-1

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