Learning stochastic dynamics and cell-fate landscapes from single-cell snapshots via optimal transport
The temporal dynamics and stochasticity of gene expression are critical to cell fate decisions, yet integrating snapshot omics data across multiple time points remains a major challenge. Here, we introduce DiffusionOT, a dynamic machine learning framework that infers cellular trajectories from multi–time point single-c...