The integration of different types of dataâgenomic, clinical, and environmentalâis crucial for a holistic understanding of cancer. This integrated approach, often referred to as multi-omics, can reveal complex interactions and provide a more complete picture of the disease. However, integrating such diverse data sets presents significant challenges, including data standardization, interoperability, and the need for advanced analytical methods.
