AI & single-cell genomics

The study of cellular dynamics is crucial to understand how cells develop and how diseases progress. Scientist at Helmholtz Zentrum München and Technical University of Munich (TUM) created ‘scVelo’ – a machine learning method and open source software to estimate the dynamics of gene activity in single cells. This allows biologists to robustly predict the future state of individual cells.