Table 2. Summary of the interaction algorithm parameters.

Parameter	Setting
Architecture	N-2-1, where N = total number of genes −1
Learning algorithm	Backpropagation
Activation function	Sigmoid
Epochs	300
Threshold of mean squared error (MSE)	0.01
Window of MSE	100
Momentum	0.5
Learning rate	0.1
Pearson r cutoff	0.7
Cross-validation	Monte Carlo cross-validation
Random reshuffle	50 times
Ratio (%) for training: testing: validation	60∶20∶20
Number of time the whole process repeatfor single variable	10