Article

VAETracer: Mutation-Guided Lineage Reconstruction and Generational State Inference from scRNA-seq

2026-01-21

Abstract excerpt

Somatic mutations accumulate with cell division and are key to understanding tumor evolution. While single-cell RNA sequencing (scRNA-seq) can effectively capture somatic mutations in the 3′ untranslated region (3′ UTR), enabling its use for lineage tracing, these data are inherently noisy and exhibit high false-positive rates. To address this limitation, we propose VAETracer, a deep learning framework that is abl...

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Literature Corpus work: f3991912-9945-579e-8b5e-d53f7cd2d826
DOI: 10.64898/2026.01.19.700238

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