Our approach is to consider each measurement from a microarray for a single gene as a diagnostic test. Thus, for each subject, we have a high-dimensional vector of diagnostic test results. We then want to utilize this information in a way to separate the two populations of patients. This issue of finding combinations of biomarkers to accurately classify patients has been considered by Su and Liu [12], Baker [13], and Pepe and Thompson [14] in the statistical literature.