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研究领域

The extraction of information from the massive amounts of data produced by today’s chemical and biological experiments is an ongoing challenge. The multidisciplinary research in my group develops and applies statistical, mathematical and computer-based tools to address this problem.

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

“Exploratory Data Analysis with Noisy Measurements.” P. D. Wentzell* and S. Hou (J. Chemometr., 2012, 26, 264-281). “Fast and Simple Methods for the Optimization of Kurtosis as a Projection Pursuit Index.” S. Hou and Peter D. Wentzell* (Anal. Chim. Acta, 2011, 704, 1-15). “Preliminary Exploration of Time-Course DNA Microarray Data with Correlation Maps.” R. M. Flight and Peter D. Wentzell* (OMICS, 2010, 14, 99-107). “Bootstrap Method for the Estimation of Measurement Uncertainty in Spotted Dual-Color DNA Microarrays.” T. K. Karakach, R. M. Flight and Peter D. Wentzell* (Anal. Bioanal. Chem., 2007, 389, 2125-2141). “Multivariate Curve Resolution of Time Course Microarray Data.” P. D. Wentzell*, T. K. Karakach, S. Roy, M. J. Martinez, C. P. Allen and M. Werner-Washburne (BMC Bioinformatics, 2006, 7, 343)

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