Cluster analysis method of gene expression data, and terminal equipment

Abstract

The invention discloses a cluster analysis method of gene expression data, and terminal equipment. The cluster analysis method comprises the steps of determining a gene expression data coding plan, acquiring the gene expression data, a constitutive gene cluster center matrix and a cluster membership grade matrix; initializing the position and the speed vector of an intelligent single particle, performing segmenting, generating a corresponding sub-vector, setting a related parameter in an iterative calculating process; according to a learning intelligent strategy, performing continuous iterative computation, and updating the position vector of the intelligent single particle; reconstructing a clustering center matrix according to the final position sub-vector of the intelligent single particle, and obtaining an optimal gene clustering center. Compared with a traditional method, the cluster analysis method according to the invention has advantages of reducing at least one order of magnitude in computing complexity, greatly reducing computing time, and realizing important meaning in processing high-flux gene data of which the data scale increase explosively.

Description

technical field [0001] The present invention relates to the field of gene data analysis, in particular to a cluster analysis method and terminal equipment for gene expression data. Background technique [0002] When the existing technology studies the expression of tens of thousands of genes under different physiological conditions, gene chip technology must be used to measure the expression of thousands of genes in one chip experiment at the same time. The biggest advantage - high throughput. The gene expression data obtained by a gene chip experiment includes a matrix of data obtained from tens of thousands of genes under various experimental conditions (such as different tissues, different growth stages, different health conditions, etc.). Due to the large quantity and complex biological information, cluster analysis has naturally become an important means of processing gene expression data. Through clustering, genes with the same expression pattern are grouped into one...

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Problems solved by technology

[0005] In view of the deficiencies in the prior art above, the purpose of the present invention is to provide a cluster analysis method and terminal equipment for gene expression data, aiming to solve the problem of time-consuming cluster analysis of high-throughput gene expression data in the prior art. The problem of long time and poor clustering effect

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