Generative modeling of single-cell time series with PRESCIENT enables prediction of cell trajectories with interventions

Abstract

Single-cell RNA-Seq allows us to observe snapshots of how biological systems change over time at cellular resolution. Here, the authors develop a generative framework that uses time-resolved single-cell data to model how cells change in physical time, including in response to perturbations.