Research on Meta Genomic Attribute Reduction Based on on a New Algorithm

Abstract

Aiming at the problem that most of the DNA sequences extracted by meta genomics are unknown and exist multidimensional eigenvectors., this paper proposes a rough set and BreedPSO method to reduce the characteristics of microbial strains. It is found that while reducing the vector dimension., Can maintain or even improve the classification accuracy of species., effectively extract the fine species tags., save classification time., improve classification efficiency.