The development of DNA microarray technologies provides an efficient tool for the experimental study of gene expression. Analysis of those large scale genomies data has initially focused on clustering methods. Recently, biclustering techniques were proposed for revealing submatriees showing unique patterns. Multi-objective optimization approach, which optimizes simultaneously several objectives in conflict with each other, is very good for solving biclustering problem. This paper proposes a novel multi - objective intmune optimization biclustering algorithm based on the clonal selection princi...
