Data integration involves combining data from various sources to provide a comprehensive view of cancer. Integrating clinical, genomic, proteomic, and other types of data can reveal new correlations and insights that would not be apparent from a single data source. This holistic approach enhances our understanding of cancer and supports the development of more effective treatments.
