The complexity and heterogeneity of cancer require sophisticated approaches to decipher underlying mechanisms. Computational methods facilitate the integration and interpretation of multidimensional data, such as genomic, proteomic, and clinical data. They help in identifying potential biomarkers for early detection, understanding tumor evolution, and predicting patient responses to treatments.
