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faculty profile |
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| Dr. Alexander Gordon |
| Assistant Professor |
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Department: Mathematics and Statistics |
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Office: Fretwell 355B |
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Office Hours: |
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Email: aygordon@uncc.edu |
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Phone: 704-687-4576 |
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Research Description:
The appearance in biology of the new powerful technology of microarrays raised many challenging statistical questions. I am trying to address some of them. Most of my research in statistics is in the area of multiple testing procedures and their application to the detection of differentially expressed genes in microarray data analysis. I am also involved, together with my collaborators, in developing fast algorithms for computing exact (rather than asymptotic) theoretical distributions of nonparametric statistics. These studies, too, are motivated by biological applications. Some of my collaborative research focuses on various kinds of distance measures and their application to biological problems. |
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Recent Publications:
Gordon, A.Y. and Salzman, P. Optimality of the Holm procedure among general step-down multiple testing procedures. - Statistics and Probability Letters (in press).
Gordon, A., Glazko, G., Qiu, X., and Yakovlev, A. Control of the mean number of false discoveries, Bonferroni, and stability of multiple testing. -The Annals of Applied Statistics 1 (2007), pp. 179-190. DOI: 10.1214/07-AOAS102.
Gordon, A.Y. Family-wise error rate of a step-down procedure. - Random Operators and Stochastic Equations 15 (2007), pp. 397-406.
Gordon, A.Y. Explicit formulas for generalized family-wise error rates and unimprovable step-down multiple testing procedures- Journal of Statistical Planning and Inference 137 (2007), pp. 3497–3512 (S.N.Roy Centennial Volume); available online at http://dx.doi.org/10.1016/j.jspi.2007.03.027
Xiao, Y., Gordon, A. and Yakovlev, A. C++ package for the Cramer-von Mises two-sample test.- Journal of Statistical Software 17:8 (2007), 15 p.
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Research Areas:
Multiple Testing Procedures
Search for Differentially Expressed Genes
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