Article

Transformer models of mutation risk at base-pair resolution identify non-coding hotspot cancer driver mutations

2026-07-10

Abstract excerpt

Recurrent somatic mutations reveal cancer drivers, but in whole genomes many non-coding hotspots are passengers generated by localized mutational processes. We developed MutFormer, a transformer/convolutional neural net model that predicts base-pair-resolution somatic mutation risk from DNA sequence alone, separately for COSMIC signatures. Trained on >90 million high-confidence mutational signature-assigned SNVs f...

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Literature Corpus work: f116538c-4426-5e84-955c-10f05c12d11a
DOI: 10.64898/2026.07.07.736824

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