Cancer Gene Identification through Clustering

Abstract

Cancer is one of the dangerous diseases, which is more severe to cure. Sometimes, certain types of cancer seem to run in some families. Gene prediction is an emerging research area that had received growing attention in the research community. All the genes may not be biologically significant in diagnosing the disease. Microarray cancer data organized as samples versus genes fashion are being exploited for the classification of tissue samples into benign and malignant or their subtypes. This paper surveys various data mining methods involved in cancer gene identification.