Cell classification method, a device and electronic equipment based on gene expression characteristics

Abstract

The invention provides a cell classification method, a device and electronic equipment based on gene expression characteristics, and relates to the technical field of cell classification. The method comprises the steps of calculating first differential expression genes of a first tissue sample and a second tissue sample, selecting first genes with high expression in the first tissue sample and thesecond tissue sample based on the first differential expression genes, and respectively forming a first tissue characteristic gene set and a second tissue characteristic gene set; calculating a firstaverage expression value and a second average expression value of the first tissue characteristic gene set and the second tissue characteristic gene set in each cell of the cell population, and dividing the cells in the cell population into a first cell population and a second cell population by adopting a clustering algorithm. Thereby, the limitation of a cell classification method in the existing single cell sequencing data analysis can be reduced, the cell classification accuracy can be improved, and the classification error can be reduced.

Description

technical field [0001] The present invention relates to the technical field of single cell sequencing, in particular to a cell classification method, device and electronic equipment based on gene expression characteristics. Background technique [0002] Single-cell transcriptome sequencing technology can quantitatively detect the gene expression of each cell in a cell population. Classification of cell populations of the same lineage origin is a key technical link in single-cell data analysis. Copy number variation (CNV) is caused by genome rearrangement. Studies have shown that some mutant cells have higher overall CNV levels than normal cells. Existing cell population classification methods use computational methods to evaluate The overall CNV level of each cell is used to classify normal epithelial cells and abnormal cells, so as to further analyze the classified cells. [0003] However, due to the wide variety of abnormal cells, it has been found that there are abnorma...

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Problems solved by technology

[0004] In view of this, the purpose of the present invention is to provide a cell classification method, device and electronic equipment based on gene expression characteristics to alleviate the problems of low cell classification accuracy and large classification errors in the prior art

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