HYBRIDIZING RELIEFF, MRMR FILTERS AND GA WRAPPER APPROACHES FOR GENE SELECTION

摘要

Gene expression data comprises a huge number of genes but have only few samples that can be used to address supervised classification problems. This paper is aimed at identifying a small set of genes, to efficiently distinguish various types of biological