Figure 1.

Dual-stream CNN model structure. Genotypes are one-hot coded and passed to the input processing block, which contains two streams of CNNs. The first stacked-CNN stream contains two feed-forward CNN layers with kernel sizes 4 and 20. The second single-CNN stream contains one CNN layer with kernel size 4, followed by an add-up layer to aggregate outputs from the two streams. The feature processing block contains another single convolution layer with kernel size 4. Processed features are then passed to the output processing block, which contains a flatten layer and a fully connected dense layer. CNN, convolutional neural network.