Cell function annotation method, device, equipment and medium

Abstract

The invention discloses a cell function annotation method, device and equipment and a medium, and relates to the field of artificial intelligence. The method comprises: obtaining sequencing data of a tissue sample, the sequencing data comprising gene expression data and spatial position data of each sequencing point, and the sequencing point corresponding to at least one cell; generating a gene sequencing matrix of the tissue sample based on the sequencing data, wherein the gene sequencing matrix is used for representing gene distribution conditions at different spatial positions in the tissue sample; based on the gene sequencing matrix, cell function annotation is carried out in a deep learning mode, and a cell function annotation result is obtained. By adopting the scheme provided by the embodiment of the invention, the accuracy of cell function annotation can be improved.

Description

technical field [0001] The embodiments of the present application relate to the field of artificial intelligence, in particular to a cell function annotation method, device, equipment and medium. Background technique [0002] The process of analyzing the transcriptome sequencing data of cells, knowing the gene selective expression of cells from the molecular level, and then classifying cells from the molecular level is called cell function annotation. [0003] In related technologies, before cell function annotation, cells are extracted at multiple spatial locations with the help of high-magnification imaging techniques of tissue samples (such as tissue slice imaging, confocal fluorescence imaging, etc.), and single-cell transcriptome sequencing is performed separately to obtain single-cell Cell space transcriptome data; then the clustering method is used to analyze the single cell space transcriptome data to obtain cell function annotations. [0004] However, since cell fu...

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Problems solved by technology

[0004] However, since cell function is determined by the selective expression of genes in cells and the interaction between multiple cells in tissues, the accuracy of cell function annotation by clustering is poor.

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