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CONTINUATION: Evaluation of adaptive somatic models in a gold standard whole genome somatic dataset

2016-12-13

Abstract excerpt

<h4>ABSTRACT</h4> In http://dx.doi.org/10.1101/079087 , we presented adaptive models for calling somatic mutations in high-throughput sequencing data. These models were developed by training deep neural networks with semi-simulated data. In this continuation, I evaluate how such models can predict known somatic mutations in a real dataset. To address this question, I tested the approach using samples from the In...

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Literature Corpus work: 6d635a8d-bd23-5862-a8c2-ec2c3b6df4fc
DOI: 10.1101/093534

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