Article

Transfer Learning for Survival-based Clustering of Predictors with an Application to <i>TP53</i> Mutation Annotation

2025-10-06

Abstract excerpt

TP53 is the most frequently mutated gene in human cancers, and germline mutations in TP53 cause Li-Fraumeni syndrome (LFS), a hereditary predisposition to diverse cancers. Accurate annotation of TP53 mutations based on their survival effects is critical for informed LFS patient management. Motivated by this need, we develop a new approach for Survival-based Clustering of Predictors (SCP) by identifying homogeneo...

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Literature Corpus work: 9cdcfcb5-e90e-5cfb-af36-189dfe223d0b
DOI: 10.1101/2025.10.06.680732

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