MS-ConTab: multi-scale contrastive learning of mutation signatures for Pan-Cancer representation and stratification.

Abstract excerpt

MOTIVATION: Understanding pan-cancer level mutational landscape offers critical insights into the molecular mechanisms underlying tumorigenesis. While patient-level machine learning techniques have been widely employed to identify tumor subtypes, cohort-level clustering-where entire cancer types are grouped based on shared molecular features-has largely relied on classical statistical methods. RESULTS: In this...

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