Figure 1.

Implementation details of CNN-XG. (a) sgRNA and epigenetic information sequence encoding schema. There are four bases in nucleotides, A, G, C and T, each of which is seen as a channel, and each piece of epigenetic information is also seen as a channel. (b) Training and feature extraction in CNN. (c) The features extracted by the CNN are further selected using random forest models. (d) The selected features are put into the XGBoost classifier for the final prediction. (e) The structure of the convolutional part. The network contains two structurally identical branches for extracting sgRNA and epigenetic features. The final fully connected layer is used to obtain the final output.