A new hybrid method for gene selection

Gene selection is a significant preprocessing of the discriminant analysis of microarray data. The classical gene selection methods can be classified into three categories: the filters, the wrappers and the embedded methods. In this paper, a novel hybrid gene selection method (HGSM) is proposed by exploring both the mutual information criterion (filters) and leave-one-out-error criterion (wrappers) under the framework of an improved ant algorithm. Extensive experiments are conducted on three benchmark datasets and the results confirm the effectiveness and efficiency of HGSM. © 2010 Springer-Verlag London Limited.