A summary of feature selection techniques for gene chip in bioinformatics based on RSA algorithm

Abstract

With the implementation of the human genome project, computational intelligence has been widely used in computational biology and bioinformatics. The purpose of this study is to study the feature selection technique of gene chip in bioinformatics. In this paper, a binary key scanning method is used to decompose the model power algorithm into a series of modular multiplication operations. At the same time, the combination of genetic algorithm and RSA algorithm is used to select the feature of high dimensional space. The problem of sample classification of two categories is solved. The method is used for the design of the sequencing chip and gene expression chip. The final research shows that the RSA algorithm is applied to the technology of gene chip selection, and a high-density gene chip design software system and experimental result analysis system can be developed.