CGP-Net: A Cross-Modal Attention Network with Graph Priors for Integrated Multi-Omics Disease Subtyping
A new multi-omics integration framework that combines a Sparse Autoencoder that compresses the high-dimensional genome data and a Protein-Protein Interaction focused Graph Attention Network that forms a structure of interrelated biological activities that are incorporated within the proteomic communication framework.