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

arXiv cs.LG · 2026-08-24 Cached

TracingFlow is a simulation-free framework using second-order dynamics for trajectory inference, improving accuracy in capturing high-curvature transitions in single-cell omics data.

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SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis

arXiv cs.AI · 2026-07-09 Cached

SpaCellAgent is a self-evolving LLM-based multi-agent framework that automates end-to-end spatiotemporal trajectory analysis from natural language queries, achieving over 40% improvement in analytical efficiency while maintaining expert-level performance.

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CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment

arXiv cs.LG · 2026-06-01 Cached

CellBRIDGE is a new method that enhances optimal transport for scRNA-seq trajectory inference by incorporating ligand-receptor interaction costs to model cell-cell communication, improving alignment and enabling interpretable in silico perturbations.

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