Conditional Monge Gap enables generalizable single-cell perturbation modelling (opens in new tab)

Learning the response of single cells to various treatments offers great potential to enable targeted therapies. In this context, neural optimal transport has emerged as a principled methodological framework because it inherently accommodates the challenges of unpaired data induced by cell destruction during data acquisition. However, most existing optimal transport approaches are incapable of conditioning on different treatment contexts (for example, time, drug treatment, drug dose or cell t...