A Hybridized Multiobjective Evolutionary Approach for Microarray Biclustering

GALLO, CRISTIAN A.; CARBALLIDO, JESSICA A.; PONZONI, IGNACIO

Santa Fé, Argentina

Conferencia; CLEI 2008 (XXXIV Conferencia Latinoamerica de Informática); 2008

CLEI (Centro Latinoamericano de Estudios en Informática)

In this paper a new memetic algorithm that integrates a multiobjective evolutionary algorithm (the SPEA2) with a local search technique, for microarray data analysis, is presented. The algorithm explores the gene expression data matrix in order to find biclusters that fulfill several objectives. The performance of the new strategy was analyzed by means of a fair comparison with a well known method presented in the literature. The cases of study were two datasets corresponding to Saccharomyces cerevisiae and human B-cells Lymphoma. Our algorithm outperformed the previous method in terms of Set Coverage and Spacing, yielding to undeniably promising outcomes. Nonetheless, more experiments with data from other organisms are necessary, thus leading to more concluding results.