PACE recovers geometry-consistent continuous transport dynamics from single-cell time-course snapshots via state-time dependent anisotropic Riemannian metrics, alternating cross-time couplings, and neural bridges, outperforming baselines by 23.7% on average in reconstruction metrics across seven to九
Using single-cell genomics to understand developmental processes and cell fate decisions.Molecular systems biology, 14(4):MSB178046, 2018
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PACE: Geometry-Aware Bridge Transport for Single-Cell Trajectory Inference
PACE recovers geometry-consistent continuous transport dynamics from single-cell time-course snapshots via state-time dependent anisotropic Riemannian metrics, alternating cross-time couplings, and neural bridges, outperforming baselines by 23.7% on average in reconstruction metrics across seven to九