Jing Meng

DeepSSV: detecting somatic small variants in paired tumor and normal sequencing data with convolutional neural network

DeepSSV detects somatic small variants in paired tumor and normal sequencing data using a convolutional neural network, achieving better performance than existing methods in F1 score.

A database of simulated tumor genomes towards accurate detection of somatic small variants in cancer

The paper creates a simulated tumor genome database to benchmark somatic small variant callers by introducing variants into a well-characterized reference genome.