Article

Phenotypic inference from sparse tumor genomes informs an explainable deep-learning model for cancer prognosis

2026-07-01

Abstract excerpt

<h4>ABSTRACT</h4> Somatic genomic alterations are widely profiled in cancer and remain the primary source for personalized therapy, yet their clinical utility is limited to few actionable targets. AI/ML models offer opportunities to capture genome-wide complexities, but clinical translation is hindered by poor interpretability, often limited to single-gene effects, and overlooks higher-order phenotypic interactio...

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Literature Corpus work: 58018247-a4d3-5cac-b3db-b001f0200cb2
DOI: 10.64898/2026.06.26.734894

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