High dimensional bioinformatics data sets provide an excellent and challenging research problem in machine learning area. In particular, DNA microarrays generated gene expression data are of high dimension with significant level of noise. Supervised kernel learning with an Support Vector Machine (SVM) classifier has been successfully applied in biomedical diagnosis such as discriminating different kinds of tumor tissues.