Exploration of DNA Microarrays Using Data Mining and a Taboo Search

Abstract

In this article, we present a hybrid method based on data mining techniques and a taboo search applied in the selection and classification of DNA Microarray genes. The method is divided into two stages, in the first stage all non-relevant information in the database is eliminated using five data filtering techniques. With the subsets of genes obtained by this step, a new stage of gene selection is carried out using a taboo search, for the classification process of the selected genes, the SVM, LDA, KNN classifiers are used separately. The method has been implemented to obtain a small subset of high performance genes, the results obtained are compared with other methods reported in the literature, this method is applied in three databases of public domain.