Article

Network regularized Accelerated Failure Time Models for Robust Biomarker Identification

2025-06-02

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> High-dimensional genomic studies in cancer research face significant challenges when analyzing survival outcomes, particularly in p ≫ n scenarios where thousands of genes are measured across relatively small patient cohorts. Traditional penalized regression methods like lasso and ridge regression apply uniform shrinkage without considering underlying biological relationships...

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Literature Corpus work: 8757a3d9-2ea2-535d-b984-d25f3c0bf6f0
DOI: 10.1101/2025.05.30.657087

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