Algorithm Study Based on Rough Entropy for Gene Analysis and Selection
Jiayang Wang, Zujian Wu · 2007
Gene expression data has been used to analyze and classify disease in resent years.Combining the attribute importance in Rough Sets Theory and entropy in Information Theory, this paper introduces the study of the gene analysis and selection method.A novel algorithm, called RMSME, is proposed to use the minimum uncertain information to reduct and generate the mostly related genes with the subclasses of disease.Finally, the experimental results show the effectiveness and practicability of this algorithm on the actual medical data.