Graph Neural Networks for Cancer Driver Gene Prediction: From Fundamentals to Applications.
This chapter provides a comprehensive technical protocol for predicting CDGs using a Graph Convolutional Network (GCN) and guides the reader through hyperparameter optimization, model training, and performance evaluation, while discussing practical considerations related to generalization, computational cost, and inter...