A robust ensemble feature selection approach to prioritize genes associated with survival outcome in high-dimensional gene expression data

A robust ensemble feature selection approach to prioritize genes associated with survival outcome in high-dimensional gene expression data

Exploring features associated with the clinical outcome of interest is a rapidly advancing area of research. However, with contemporary sequencing technologies capable of identifying over thousands of genes per sample, there is a challenge in constructing efficient prediction models that balance acc...

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Bibliographic Details
Main Authors: Phi Le, Xingyue Gong, Leah Ung, Hai Yang, Bridget P. Keenan, Li Zhang, Tao He
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Systems Biology
Subjects:
colorectal cancer
ensemble feature selection
high-dimensional data
time-to-event outcome
pseudo variables
group lasso
Online Access:https://www.frontiersin.org/articles/10.3389/fsysb.2024.1355595/full

Internet

https://www.frontiersin.org/articles/10.3389/fsysb.2024.1355595/full

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