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METHOD FOR PREDICTING CELL SPATIAL RELATION BASED ON SINGLE-CELL TRANSCRIPTOME SEQUENCING DATA

机译:基于单细胞转录组测序数据预测细胞空间关系的方法

摘要

A method for predicting the cell spatial relation based on single-cell transcriptome sequencing data, comprising: obtaining a probability matrix P of a cell-cell interaction strength matrix A based on single-cell transcriptome sequencing data; reconstructing, according to the obtained probability matrix P of the cell-cell interaction strength matrix A, a three-dimensional spatial structure in which cells interact with each other; and for each cell in the reconstructed three-dimensional spatial structure in which cells interact with each other, determining the average intercellular distance threshold for each cell to interact with h cells to obtain an intercellular interaction network. The method requires only the single-cell transcriptome sequencing data to predict the interaction of the cells in three-dimensional space, which breaks limitations in the prior art that the cell spatial relation is required to be obtained by imaging.
机译:一种方法,用于基于单细胞转录组测序数据预测细胞空间关系,包括:基于单细胞转录组测序数据获得细胞 - 细胞相互作用强度矩阵A的概率矩阵P;根据电池单元相互作用强度矩阵A的所获得的概率矩阵P重建,三维空间结构,细胞彼此相互作用;并且对于重构的三维空间结构中的每个单元,其中小区彼此相互作用,确定每个单元的平均间间间距离与H细胞相互作用以获得间细胞间交互网络。该方法仅需要单细胞转录组测序数据来预测三维空间中的单元的相互作用,其在现有技术中断限制,即通过成像需要获得细胞空间关系。

著录项

  • 公开/公告号WO2021142625A1

    专利类型

  • 公开/公告日2021-07-22

    原文格式PDF

  • 申请/专利权人 PEKING UNIVERSITY;

    申请/专利号WO2020CN72044

  • 发明设计人 ZHANG ZEMIN;REN XIANWEN;ZHONG GUOJIE;

    申请日2020-01-14

  • 分类号C12N5/10;C12N15/867;A61K35/17;A61P35;G06K9/62;G16B30;

  • 国家 CN

  • 入库时间 2022-08-24 20:09:44

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