Mazin Abed Mohammed

A hybrid ensemble-based parallel learning framework for multi-omics data integration and cancer subtype classification

A novel cancer subtype classification framework using multi-omics integration and an ensemble-based parallel DL/ML architecture with multimodal autoencoder used for effective feature learning across omics types, overcoming the limitations of naïve concatenation is presented.