Several types of data are integrated into computational models, including genomic data, proteomic data, and clinical data. Genomic data involves the study of cancer-related genes and their mutations. Proteomic data focuses on the proteins expressed by these genes, while clinical data includes patient history, treatment details, and outcomes. Integrating these diverse data types helps in creating a holistic model of cancer.
