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

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

Abstract 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 numbe...

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Bibliographic Details
Main Authors: Rémy Jardillier, Dzenis Koca, Florent Chatelain, Laurent Guyon
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BMC Cancer
Subjects:
Cox model
Prediction
Survival model
Penalized regression
Lasso
RNA-seq
Online Access:https://doi.org/10.1186/s12885-022-10117-1

Internet

https://doi.org/10.1186/s12885-022-10117-1

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