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Yanmig Di standing in front of Kidder Hall

Yanming Di

Co-Director of Graduate Studies
Associate Professor
Department of Statistics

Yanming Di

Co-Director of Graduate Studies
Associate Professor
Department of Statistics

Research

Research Interests

  • RNA-Seq and Gene Expression Studies, Statistical Methods for omics Data
  • Statistical Genetics, Linkage and Association Studies
  • Applied Statistics
  • Statistical Computing
  • Software Development

Education

Ph.D., Statistics, University of Washington, Seattle, WA, 2004-2009

M.S. Statistics, Arizona State University, Tempe, AZ, 2001-2003

M.S. Mathematics, Tsinghua University, Beijing, China, 1997-2000

B.S. Applied Mathematics, Tsinghua University, Beijing, China, 1993-1997

Publications

  • Di, Y. (2015), "Single-gene negative binomial regression models for RNA-Seq data with higher-order asymptotic inference," Statistics and Its Interface, 8, 405-418. [https://www.intlpress.com/site/pub/pages/journals/items/sii/content/vols/0008/0004/a001/]
  • Mi, G. and Di, Y. (2015), "The Level of Residual Dispersion Variation and the Power of Differential Expression Tests for RNA-Seq Data," PLoS ONE, 10(4). [https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0120117]
  • Jiang, Y., Emerson, S., Wang, L., Li, L., and Di, Y. (2014), "Family-based association test using normal approximation to gene dropping null distribution," BMC Proceedings, 8(Supp 1), S18. [https://bmcproc.biomedcentral.com/articles/10.1186/1753-6561-8-S1-S18]
  • Di, Y., Schafer, D. W., Emerson, S. C., and Chang, J. H. (2013), "Higher order asymptotics for negative binomial regression inferences from RNA-sequencing data," Stat Appl Genet Mol Biol, 12(1), 49-70. [http://dx.doi.org/10.1515/sagmb-2012-0071]
  • Di, Y., Schafer, D. W., Cumbie, J. S., and Chang, J. H. (2011), "The NBP Negative Binomial Model for Assessing Differential Gene Expression from RNA-Seq," Statistical Applications in Genetics and Molecular Biology, 10(1). [http://dx.doi.org/10.2202/1544-6115.1637]