The complexity of cancer biology necessitates methods that can effectively distill large datasets into actionable knowledge. This process can help identify key molecular pathways, genetic mutations, and protein expressions that are pivotal in cancer development and progression. Distillation aids in transforming raw data from various omics technologies into targeted therapeutic strategies and personalized medicine.
