Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample (Genome Biology)

Accurate detection of somatic mutations is challenging but critical in understanding cancer formation, progression, and treatment. We recently proposed NeuSomatic, the first deep convolutional neural network-b...