ContextFlow regularizes flow matching with a transition plausibility matrix built from local tissue organization and ligand-receptor patterns to produce statistically and biologically coherent trajectories from longitudinal spatial omics data.
The loss functions used in such formulations typically require computing Jacobians or integrating the flows at each forward pass, making them computationally expensive
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ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data
ContextFlow regularizes flow matching with a transition plausibility matrix built from local tissue organization and ligand-receptor patterns to produce statistically and biologically coherent trajectories from longitudinal spatial omics data.