New Algorithm Solves Single-Cell Data’s Biggest Headache
Scientists at Finland’s University of Turku have created Coralysis, an open-source algorithm that tackles one of single-cell analysis’ toughest problems. The tool uses machine learning to reliably identify and group cell types across samples, even when data is wildly imbalanced. This could accelerat













































