bioRxiv / medRxiv
open access
CC BY-NC-ND 4.0
AnnFlux: object-conditioned neural stochastic differential equations for single-cell perturbation dynamics
Single-cell perturbation profiling measures responses to genetic and chemical interventions, yet most models learn a static map, ignoring how populations move over time and how perturbations combine. AnnFlux, an object-conditioned stochastic differential equation, learns a drift field in latent cell
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