Genes Expression Data Processing Algorithm Based on Hybrid Particle Swarm Optimization

Abstract

In order to improve the accuracy of structural and functional information of gene experiment data, and to better identify gene data related to function, a PSO-based hybrid algorithm(HPSO) was proposed and HPSO algorithm was applied to cluster analysis of gene expression data. And the problem of clustering analysis of gene expression data is reduced to an optimization problem, then a gene expression data processing algorithm based on HPSO is proposed, and an algorithm of gene expression data processing based on HPSO is proposed, and the HPSO algorithm was used to analyze the protein gene structure data, and a lot of useful rules were obtained. The experimental results show that the HPSO algorithm can cluster well, which opens up a new method for the analysis of gene expression data.