1298-Conditional Gap for Single-Cell Perturbation Modelling

Paper Talk · Jul 18, 2026 · 22m

The research introduces Conditional Monge Gap (CMonge), a mathematically grounded machine learning framework designed to predict how single cells respond to various treatments. Unlike previous models that require separate training for every individual condition, this global estimator uses optimal transport to learn from hundreds of drug and dose combinations simultaneously. By incorporating conditional information like drug structure and dosage, the system effectively captures the complex diversity within cell populations and identifies patterns across different tasks. This approach allows…