该文本介绍了一种名为 PHLOWER 的新型计算方法，该方法利用 Hodge 拉普拉斯分解 处理 单细胞多模态数据，以推断复杂、多分支的细胞分化轨迹。通过在一系列模拟和真实单细胞 RNA 测序数据集上进行 基准测试，研究人员证明了 PHLOWER 在恢复复杂树拓扑结构和准确分配细胞位置方面的 优越性能。此外，该方法被应用于 肾脏类器官 的多模态和空间单细胞数据，成功识别了主要的细胞谱系和与 非靶向神经元细胞 相关的关键转录因子，随后通过 siRNA 敲低实验 验证了这些发现，证实了 PHLOWER 在推进再生医学协议方面的实用性。References: Cheng, Mingbo, et al. "PHLOWER leverages single-cell multimodal data to infer complex, multi-branching cell differentiation trajectories." Nature Methods (2025): 1-9.
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