Ph.D. (2000) University of Washington

Gregory Warnes Associate Professor of Biostatistics and Computational Biology     Contact Information: University of Rochester Dept of Biostatistics and Computational Biology 601 Elmwood Avenue Box 630 Rochester, New York 14642   Office: Morey Hall 220 Phone: (585) 273-2794 E-mail: gregory.warnes@rochester.edu

Technical Reports

• Burrows, R.B., Warnes, G., and Choudary Hanumara, R. (2006). Statistical Modeling of Biochemical Pathways (Technical Report 06/11).
• Warnes, G. and Liu, P. (2006). Sample Size Estimation for Microarray Experiments (Technical Report 06/06).

Selected References

• Warnes, GR. Sample Size Estimation for Microarray Experiments using the SSIZE package. RNews (in press).
• Warnes, GR and Jain N. Balloonplot: A graphical tool for displaying tabular data. RNews Volume 6/2, May 2006.
• Mank-Seymour AR, Richmond JR, Wood LS, Reynolds JM, Fan Y, Warnes, GR, Milos PM, and Thompson JF. (2005). Association of Torsades de Pointes with Novel and Known SNPs in LQTS Genes. Cardiovascular Research 575(1-2):34-46.
• Caba E, Dickinson DA, Warnes, GR and Aubrecht J. (2005). Differentiating mechanisms of toxicity using global gene expression analysis in Saccharomyces cerevisiae. Special Issue on EEMS 2004, Mutation Research 575(1-2):34-46.
• Warnes, GR. (2004). RSOAP -Using “R” with Python. PyZine 11(05).
• Dickinson DA, Warnes, GR, Quievryn G, Messer J, Zhitkovich A, Rubitski E and Jiri A. (2004). Differentiation of DNA reactive and non-reactive genotoxic mechanisms using gene expression profile analysis. Mutation Research 549(1-2):29-41.
• Warnes, GR (2003). The GeneticsPackage. RNews 3(1).
• Warnes, GR (2002). HYDRA: A Java library for Markov Chain Monte Carlo. Journal of Statistical Software 7(4).
• Warnes, GR. The Normal Kernel Coupler: An adaptive Markov Chain Monte Carlo method for efficiently sampling from multi-modal distributions. Journal of the American Statistical Association (in revision).
• Yanez ND, Warnes, GR and Kronmal RA (2001). A Univariate Measurement Error Model for Longitudinal Change. Communications in Statistics 30(2).
• Warnes, GR. The Normal Kernel Coupler: An adaptive Markov Chain Monte Carlo method for efficiently sampling from multi-modal distributions. Technical Report no. 395, Department of Statistics, University of Washington, Apr. 2001.
• Warnes, GR. HYDRA: A Java library for Markov Chain Monte Carlo. Technical Report no. 394, Department of Statistics, University of Washington, Apr. 2001.