Cancer data is often high-dimensional, including gene expression profiles, genomic mutations, and proteomic data. Visualizing these data types in two or three dimensions can provide insights into the underlying biological processes and identify subtypes of cancer. t-SNE has the ability to handle the complexity of these datasets, making it a powerful tool for cancer research.
