A gene expression data set from a microarray experiment can be represented by a real-valued.Expression matrix = { G(i,j) | 1≤ i≤ n,1≤ j ≤ m }where the columns G=, ,...., form the expression patterns of genes, the rows S=, ,...., . An example of a gene expression microarray dataset for Leukemia is shown (in Table 1). the table organizes data into m columns (genes) and n rows (samples) where m mostly varies from thousand to hundred thousand according to the accuracy of microarray image processing technique, while n is always less than 200 samples according to the previously collected datasets (Zeeshan et al., 2014a). Category column presents the actual class of the sample. For the shown example AML stands for acute myeloid leukemia disease and ALL represents acute lymphoblastic.