Gene data processing method and device, computer equipment and storage medium

Abstract

The invention discloses a gene data processing method and device, computer equipment and a storage medium, and belongs to the technical field of computers. According to the method, the gene association model corresponding to the cell type to which the to-be-detected gene belongs can be called through the gene function query request of the to-be-detected gene, and the nonlinear association degree between the to-be-detected gene and the known candidate gene is mined; the candidate genes with high nonlinear correlation degree are used for labeling the function annotation information of the to-be-detected genes, the mode of extracting the nonlinear relation by calling the gene correlation model is completely different from the mode of extracting the linear relation in the traditional statistics, the candidate genes with higher similarity with the to-be-detected genes can be deeply mined, and the accuracy of the to-be-detected genes is improved. The similarity is implicit non-linear similarity instead of non-linear similarity, so that the accuracy of the gene data processing process is greatly improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a genetic data processing method, device, computer equipment and storage medium. Background technique [0002] With the development of computer technology, gene sequencing technology has gradually been widely used in many fields such as biology, medical treatment, health, criminal investigation, agriculture, etc. The gene sequencing technology involves judging the function of each gene in the gene expression data set. [0003] At present, it is necessary to calculate the correlation coefficient between the expression levels of the two genes, to find a set of gene sets that have a significant correlation with the gene to be tested, and to search for a set of genes based on this set of genes using some statistical methods (such as Fisher's Exact Test, Fisher's exact test). The known gene set annotation library, according to the annotation information of this set of...

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Problems solved by technology

[0004] In the above process, when performing functional annotation of the tested gene, the key step is to find a set of genes with significant associations. In bioinformatics, there are many ways to calculate the correlation coefficient of two gene expressions. These methods mainly measure There is a linear relationship between two sets of vectors, but there is more of a non-linear relationship between gene expression levels, resulting in poor accuracy of genetic data processing

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