Article

Attentive deep learning-based tumor-only somatic mutation classifier achieves high accuracy agnostic of tissue type and capture kit

2021-12-09

Abstract excerpt

In precision oncology, reliable identification of tumor-specific DNA mutations requires sequencing tumor DNA and non-tumor DNA (so-called “matched normal”) from the same patient. The normal sample allows researchers to distinguish acquired (somatic) and hereditary (germline) variants. The ability to distinguish somatic and germline variants facilitates estimation of tumor mutation burden (TMB), which is a recently...

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Literature Corpus work: 00f5ec6a-c9ee-5683-ae9e-e1d3d81c23bb
DOI: 10.1101/2021.12.07.471513

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