Embed Size (px)
DESCRIPTION
Gene selection is a main procedure of discriminate analysis of microarray data which is theprocess of selecting most informative genes from the whole gene data base. This paperapproaches a method for selecting informative genes by using Rough Set Theory. Rough SetTheory is an effective mathematical tool for selecting informative genes. This paper describesbasics of Rough Set Theory and Rough Set attribute reduction by Quick –Reduct basedGenetic Algorithm
Citation preview
International Journal of Computing Algorithm, Vol 1(2), December 2012
ISSN(Print):2278-2397
Website: www.ijcoa.com
Gene Selection Based on Rough Set
K.Anitha
Department of Mathematics, S.A.Engineering College, Chennai, India E-mail: [email protected]
Abstract Gene selection is a main procedure of discriminate analysis of microarray data which is the process of selecting most informative genes from the whole gene data base. This paper approaches a method for selecting informative genes by using Rough Set Theory. Rough Set Theory is an effective mathematical tool for selecting informative genes. This paper describes basics of Rough Set Theory and Rough Set attribute reduction by Quick –Reduct based Genetic Algorithm
