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English(EN) Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots

新的USB框架从快照重建离散细胞动力学

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一个名为Unbalanced Schrödinger Bridge (USB) 的新无模拟框架，用于从单细胞数据重建离散分支动力学。该方法通过在单细胞水平上准确捕捉细胞增殖和凋亡等生灭事件，解决了现有连续流体模型的局限性。USB整合了随机性和不平衡效应，提供了细胞谱系分支和命运决定的微观解释，并在模拟和真实世界数据集上均表现出强大的性能。 AI

影响 能够更准确地模拟细胞谱系和命运决定，从而改进生物学研究。

排序理由 详细介绍用于生物数据分析的新计算框架的学术论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的USB框架从快照重建离散细胞动力学

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详细介绍用于生物数据分析的新计算框架的学术论文。
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Junda Ying, Yuxuan Wang, Bowen Yang, Peijie Zhou, Lei Zhang ·

    超越连续性：从单细胞快照无模拟重建离散分支动力学

    arXiv:2605.00545v1 Announce Type: new Abstract: Inferring cellular trajectories from destructive snapshots is complicated by the challenges of stochasticity and non-conservative mass dynamics such as cell proliferation and apoptosis. Existing unbalanced Optimal Transport (OT) met…

  2. arXiv cs.AI TIER_1 English(EN) · Lei Zhang ·

    超越连续性：单细胞快照无模拟重建离散分支动力学

    Inferring cellular trajectories from destructive snapshots is complicated by the challenges of stochasticity and non-conservative mass dynamics such as cell proliferation and apoptosis. Existing unbalanced Optimal Transport (OT) methods treat mass as a continuous fluid, performin…

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