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This paper proposes a Genetic Algorithm (GA) combined with Support Vector Machine (SVM) for selecting and classifying data from DNA microarrays, with the aim of differentiate healthy from cancerous tissue samples. The proposed GA, by using a SVM fitness function, enables the selection of a group of genes that represent the absence or the presence of cancerous tissue. The proposed method is tested with a group data related to a widely known cancer disease, the breast cancer. The comparison shows that the results obtained with these combined techniques are better than other techniques.

HYBRID SYSTEM FOR DATA CLASSIFICATION OF DNA MICROARRAYS WITH GA AND SVM