Gene Expression Data Analysis Using Automatic Spectral MEQPSO Clustering Algorithm

Abstract: In the field of Genetics, thousands of gene expression levels are measured simultaneously, using Microarray Technology. In this technology, Gene Clustering approach is used to discover the similarity of biological function within the genes. In this approach, many clustering algorithms are used. In this paper a new algorithm - Spectral MEQPSO for clustering gene datasets is proposed, based on MEQPSO and Automatic clustering algorithms. MEQPSO algorithm is a promising method in gene clustering, which provide an ability of stronger global convergence towards an optimal solution. By using Spectral algorithm, cluster number can be selected automatically during the cluster process, which reduces the overall time taken to cluster the genes.

Keywords: Gene Expression, Clustering, MEQPSO, Spectral algorithm