Article

araCNA: Somatic copy number profiling using long-range sequence models

2025-01-22

Abstract excerpt

Somatic copy number alterations (CNAs) are hallmarks of cancer. Current algorithms that call CNAs from whole genome sequenced (WGS) data have not exploited deep learning methods owing to computational scaling limitations. Here, we present a novel deep-learning approach, araCNA, trained only on simulated data that can accurately predict CNAs in real WGS cancer genomes. araCNA uses novel transformer alternatives (e....

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Literature Corpus work: ee11d7c2-8dcf-5925-b322-e4a0c8fd61dc
DOI: 10.1101/2025.01.20.633608

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