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SigFormer: an Attention-Based Framework for Robust Single-Sample Mutational Signature Decomposition

2026-01-21

Abstract excerpt

Somatic mutational signatures imprint the history of exogenous exposures and endogenous processes on the genome, offering critical insights into pathologic etiology and disease risk. However, accurate signature decomposition at the single-sample level is still challenging when mutation burden is low, sampling noise is high, and candidate catalogs are large and redundant. Here, we present SigFormer, a set-condition...

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Literature Corpus work
2b1b2ac3-4af5-5fa0-bc8e-8fafa33795f3
DOI
10.64898/2026.01.20.700228
Open publication

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SigFormer: an Attention-Based Framework for Robust Single-Sample Mutational Signature DecompositionDOI 10.64898/2026.01.20.700228
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