Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer

The proposed omics integration strategy provides an effective way of extracting critical information from diverse omics data types enabling estimation of prognostic indicators. Such integrative models with high predictive power would have a significant impact and utility in precision oncology.