论文阅读记录

stLearn

  • 标题：Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissues
  • 作者：The University of Queensland
  • 发表会议/期刊：Nature Communications
  • 年份：2023
  • 链接：stLearn

主要内容简介

  • Motivation:

    1. the (re)construction of spatio-temporal trajectories
    2. the study of cell–cell interactions
    3. the improvement of spatial data quality by imputation

方法与创新点

  • 总体框架：

    Generalization

  • 方法概述：

    1. pseudo-time-space (PSTS) for spatio-temporal trajectory inference

      Generalization

      1. DPT 与 Space 融合的算法

      2. 伪时间距离Dpt:

        Generalization

      3. 空间距离Ds和伪时空距离Dpts:

        Generalization

    2. spatially-constrained two-level permutation (SCTP) test

      Generalization

    3. spatial graph-based imputation method with neural network (stSME)

      Generalization