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Developing cancer prediction model based on stepwise selection by AUC measure for proteomics data.

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Diagnostic plots for detecting outlying slides in a cDNA microarray experiment, , , and . Biotechniques, 38 (3): 463--471 (March 2005)Evaluation Studies.Statistical tests for identifying differentially expressed genes in time-course microarray experiments., , , , , , and . Bioinform., 19 (6): 694-703 (2003)Integrated analysis of the various types of microarray data using linear-mixed effects models., and . BIBM, page 373-379. IEEE Computer Society, (2010)Biomarker development for pancreatic ductal adenocarcinoma using integrated analysis of mRNA and miRNA expression., , , , , , , , , and 1 other author(s). BIBM, page 273-278. IEEE Computer Society, (2014)arrayQCplot: software for checking the quality of microarray data., , and . Bioinform., 22 (18): 2305-2307 (2006)Developing cancer prediction model based on stepwise selection by AUC measure for proteomics data., , , , , , , , , and 4 other author(s). BIBM, page 1345-1350. IEEE Computer Society, (2015)Spot Intensity Ratio Statistics in Two-Channel microarray Experiments., , , , , and . J. Bioinform. Comput. Biol., 5 (4): 865-873 (2007)GWAS-GMDR: A program package for genome-wide scan of gene-gene interactions with covariate adjustment based on multifactor dimensionality reduction., , , , , , and . BIBM Workshops, page 703-707. IEEE Computer Society, (2011)