Data integration involves combining genomic, proteomic, transcriptomic, and clinical data to create a holistic view of cancer. This process requires sophisticated bioinformatics tools and algorithms to manage and analyze large datasets. Integrative analysis can reveal complex interactions between different biological molecules and their impact on cancer.
