Article

Robust Cancer Mutation Detection with Deep Learning Models Derived from Tumor-Normal Sequencing Data

2019-06-11

Abstract excerpt

Accurate detection of somatic mutations is challenging but critical to the understanding of cancer formation, progression, and treatment. We recently proposed NeuSomatic, the first deep convolutional neural network based somatic mutation detection approach and demonstrated performance advantages on in silico data. In this study, we used the first comprehensive and well-characterized somatic reference samples from...

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Literature Corpus work: 3e9f2e7c-6c67-5974-a515-a3294a584816
DOI: 10.1101/667261

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