Dr. Dong Wang

Assistant Professor

Department of Statistics

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Welcome!



Department of Statistics                                           Email:
University of Nebraska Lincoln                               email
340 Hardin Hall North                                             Telephone:
Lincoln, NE 68583-0963                                         (402)472-4921

Education

Ph. D. in Statistics, Iowa State University, 2006
Ph. D. in Genetics, Iowa State University, 2003
B. S. in Genetics, Fudan University, 1997

Research Interests

My current research is primarily focused on statistical methods with applications to biological problems, especially in the areas of bioinformatics and genetics.  Current projects include data analysis  for expression microarrays, statistical methods related to genomic tiling microarrays, and gene category based expression profiling.  I am also interested in the general aspects  of statistical methodology and  their applications;  topics include empirical likelihood, general estimating equations, nonparametric regression, and  missing data.

Recent Publications

Novel Statistical Methods for Modeling Epigenetic Modifications.  Dong Wang (2008).  In revision.

Quantitative trait loci analyses and microarray data, an empirical likelihood approach
.  Dong Wang and Song Xi Chen (2008).  Computational Statistics & Data Analysis, in press.

Empirical Likelihood for Estimating Equations with Missing Values. Dong Wang and Song Xi Chen (2007). The Annals of Statistics, in press.  [pdf]

Combining classical trait and microarray data to dissect transcriptional regulation: a case study.  Dong Wang and Dan Nettleton (2008).  Theoretical and Applied Genetics, 116: 683-690.

Selective Transcriptional Profiling for Trait-based eQTL Mapping. Dan Nettleton and Dong Wang (2006). Animal Genetics, 37, s13-17.

Using Selective Transcriptional Profiling to Identify Genes Whose Expression is Associated with a Genetic Locus and /or a Quantitative Trait of Interest. Dong Wang and Dan Nettleton (2006). Biometrics, 62: 504-514.

Teaching

STAT892, Statistical Methods for Microarrays and Related Technologies (also covering massively parallel signature sequencing), Spring, 2009
Course Announcement


STAT 892 Section 2:  Statistical Methods for Microarray Data, Spring 2007.
STAT 462, Introduction to Mathematical Statistics I, Fall, 2007.
STAT 463, Introduction to Mathematical Statistics II, Spring, 2008
STAT 880, Introduction to Mathematical  Statistics, Fall, 2008