Method for analyzing microenvironment of biological tissue, electronic device, and storage medium

CN122374830APending Publication Date: 2026-07-10BGI RES SOUTHWEST
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BGI RES SOUTHWEST
Filing Date
2023-12-12
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

The analytical accuracy of biological tissue microenvironment in the prior art is insufficient, especially in the analysis of tumor microenvironment, and it is difficult to associate the cell phenotype with the microenvironment.

Method used

By obtaining spatial transcriptome data of biological tissues, using sliding windows to split the data into multiple window data, constructing an adjacency map of each sliding window, obtaining the first interaction matrix, and obtaining the analysis results of the biological tissue microenvironment through tensor matrix decomposition.

Benefits of technology

It improves the analytical accuracy of the biological tissue microenvironment, can more comprehensively understand and analyze the relationship between cells, and reveals the tissue structure of the biological tissue microenvironment.

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Abstract

This application provides a method, electronic device, and storage medium for analyzing the microenvironment of biological tissues. The method includes: acquiring spatial transcriptome data of biological tissues; determining window data corresponding to multiple sliding windows from the spatial transcriptome data using sliding windows, each sliding window containing multiple detection regions; constructing an adjacency graph for each sliding window based on the adjacency relationships between the multiple detection regions; obtaining a first interaction matrix for each sliding window based on the adjacency graph; constructing a tensor matrix based on the first interaction matrix; and decomposing the tensor matrix to obtain the analysis result of the microenvironment of the biological tissue corresponding to the biological tissue. This application can improve the accuracy of analyzing the microenvironment of biological tissues.
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