High dimensional data refers to datasets with a large number of features or variables. In the context of cancer research, these features could include genomic, proteomic, metabolomic, and clinical data, among others. The advent of technologies like next-generation sequencing has enabled researchers to generate vast amounts of data from cancer samples, providing a comprehensive view of the disease at the molecular level.
