Applications of deep learning for cancer genomics KU Leuven
Since its selection as the method of the year in 2013, single-cell technologies have become mature enough to provide answers to complex research questions, including cancer genomics. With the growth of single-cell profiling technologies, thousands of genomic features can be measured simultaneously on tens or hundreds of thousands of individual cells in a single experiment. This allows us to characterize cell states in heterogeneous tumors at ...