Author

Peijie Zhou

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Preprint Aug 2026

TracingFlow: A Simulation-Free Trajectory Inference Framework Based on Second-Order Dynamics

By using neural networks to regress the acceleration field, TracingFlow provides an exact, efficient solution to the Dynamical Optimal Acceleration Transport (DOAT) problem and recovers dynamical structures that are both mathematically optimal and biologically plausible.

Yuhao Sun, Zekun Wu, Zi-Xun Huang et al. · 0 citations

Open access Aug 2026

MEGA-ODE: Learning Biologically Structured and Navigable Continuous Perturbation Dynamics from Sparse Omics

In a COVID-19 patient cohort, predicted intermediate profiles improved retrospective disease-stage stratification relative to observed profiles alone, while expert programs highlighted immune and inflammatory signals associated with severity, and these results support biologically structured continuous-time modeling for prediction, interpretation and virtual-perturbation prioritization from sparse temporal omics data.

Yujia Xiang, Yongge Li, Chunyan Tian et al. · bioRxiv · 0 citations