Wolf-Swarm Colony for Signature Gene Selection Using Weighted Objective Method

Abstract

Microarray study has a huge impact on the proper detection and classification of cancer, as it analyzes the changes in expression level of genes which are strongly associated with cancer. In this chapter, a new weighted objective wolf-swarm colony optimization (WOWSC) technique is proposed for the selection of significant and informative genes from the cancer dataset. To extract the relevant genes from datasets, WOWSC utilizes four different objective functions in a weighted manner. Experimental analysis shows that the proposed methodology is very efficient in obtaining differential and biologically relevant genes which are effective for the classification of disease. The technique is able to generate a good subset of genes which offers more useful insight to the gene-disease association.