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Chunk #8 — MATERIALS AND METHODS — ROC curves and optimal biomarker combinations

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Classification and selection of biomarkers in genomic data using LASSO.
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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.