MAPS: machine-assisted phenotype scoring enables rapid functional assessment of genetic variants by high-content microscopy.

This paper presents a new way to rapidly assess variant function using cloud deep learning. Since most tumor suppressors have well-defined subcellular localizations, our approach could be widely applied to functionalize variants of uncertain significance and help improve the utility of genetic testing.