Drug sensitivity prediction across cancer types using graph isomorphism networks and biological pathway features: A dual-branch deep learning approach
An innovative dual-branch approach based on Graph Isomorphism Network drug representations coupled with a Multilayer Perceptron (MLP) for 50-dimensional ssGSEA pathway activities calculated from CCLE gene expression is proposed, proving the importance of biological features in the two-branch model.