What Technologies Are Used to Handle Data Variety?
Several advanced technologies are employed to manage and analyze diverse cancer data. Bioinformatics tools and platforms like TCGA (The Cancer Genome Atlas) and cBioPortal integrate and visualize genomic and clinical data. Machine learning and artificial intelligence are increasingly being used to analyze complex datasets, identify patterns, and make predictions. High-performance computing resources are essential for processing large volumes of data efficiently.
