CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks

Figure 1

CNNdel pipeline. The pipeline is generalized to 4 steps: () get the union of candidates resulting from four tools; () get the feature information of each candidate; () label each candidate; and () use labeled candidates to train the CNNs and validate the trained model.