Deep Learning in Multi-Omics Data Integration in Cancer Diagnostic

Human cell is a complex of interacting small molecules which work together to perform daily tasks of the cell. The reading and the measurements of this different molecules are called omics, where any dysfunction among these omics may cause different diseases, and cancer is not any exception. The advances in biomedical technology in general and in software development help to speed up, and reduce the cost of reading these omics. However, the challenge is how to integrate the big amount of data from these omics to help the predictions systems in cancer outcomes, where these outcomes include the diagnosis, development, and treatment of cancer.