Deep convolutional neural networks for accurate somatic mutation detection
Somatic mutations are crucial to the understanding of cancer genesis, progression, and treatment, but are still challenging to detect. Here the authors present NeuSomatic, a convolutional neural network approach for accurate somatic mutation detection across various sequencing scenarios.
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2019-03-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-09027-x |