Performance of gene selection and classification methods in a microarray setting: A simulation study

Abstract

In a previous article, we investigated the performance of several classification methods for cDNA-microarrays. Via simulations, various experimental settings could be explored without having to conduct expensive microarray studies. For the selection of genes, on which classification was based, one particular method was applied. Gene selection is, however, a very important aspect of classification. We extend the previous study by considering several gene selection methods. Furthermore, the stability of the methods with respect to distributional assumptions is examined by also considering data simulated from a symmetric and asymmetric Laplace distribution, in addition to normally distributed microarray data.