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.
- Sayed Mohammad Ebrahim Sahraeian
- Ruolin Liu
- Hugo Y. K. Lam
