Article

Deep convolutional neural networks for accurate somatic mutation detection

2018-08-17

Abstract excerpt

We present NeuSomatic, the first convolutional neural network approach for somatic mutation detection, which significantly outperforms previous methods on different sequencing platforms, sequencing strategies, and tumor purities. NeuSomatic summarizes sequence alignments into small matrices and incorporates more than a hundred features to capture mutation signals effectively. It can be used universally as a stand-...

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Literature Corpus work: 5eaf8e44-a3ae-513b-ad52-70dd1bf498f5
DOI: 10.1101/393801

Open publication

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