Yang Liu, Ph.D.

Department:
Mathematics & Statistics
Title:
Assistant Professor
Address:
Math/Microbiology 141, 3640 Colonel Glenn Hwy, Dayton, OH 45435-0001

Education

  • Ph.D. in Statistics, Bowling Green State University, OH USA, 2015
  • M.S. in Statistics, Wuhan University, Hubei China, 2009
  • B.S. in Mathematics, Wuhan University, Hubei China, 2007

Professional Experience

  • Assistant Professor, Department of Mathematics and Statistics, Wright State University, Dayton, 2018-Present
  • Postdoctoral Research Fellow, Biostatistics Program, Fred Hutchinson Cancer Research Center, Seattle, 2015-2018

Research Interests

  • Statistical genetics, genomics
  • High dimensional statistical inference, feature selection, dimension reduction
  • Computational statistics, machine learning, graphical models

Selected Publications

  1. Liu, M., Su, Y., Liu, Y., Hsu, L., He, Q. (2024) Structured Testing of Somatic Mutations in Association with Mixed Clinical Outcomes. Genetic Epidemiology. Accepted.
  2. Liu, M., Liu, Y., Hsu, L., He, Q. (2024) TCRpred: incorporating T-cell receptor repertoire for clinical outcome prediction. Frontiers in Genetics, 15, 1345559.
  3. Liu, M., Goo, J., Liu, Y., Sun, W., Wu, M. C., Hsu, L., He, Q. (2022). TCR-L: an analysis tool for evaluating the association between the T-cell receptor repertoire and clinical phenotypes. BMC bioinformatics, 23(1), 1-16.
  4. Liu, Y., Sun, W., Hsu, L., & He, Q. (2022). Statistical inference for high-dimensional pathway analysis with multiple responses. Computational Statistics & Data Analysis, 107418.
  5. He, Q.*, Liu, Y.*, Liu, M., Wu, M. C., & Hsu, L. (2021). Random effect based tests for multinomial logistic regression in genetic association studies. Genetic Epidemiology, 45(7), 736-740.
  6. Liu, M.*, Liu, Y.*, Wu, M. C., Hsu, L., & He, Q. (2021). A method for subtype analysis with somatic mutations. Bioinformatics, 37(1), 50-56.
  7. Yang, J., Liu, Y., Liu, Y., & Sun, W. (2021). Model free estimation of graphical model using gene expression data. The Annals of Applied Statistics, 15(1), 194-207.
  8. Liu, Y., Sun, W., Reiner, A. P., Kooperberg, C., & He, Q. (2019). Statistical inference of genetic pathway analysis in high dimensions. Biometrika, 106(3), 651-651.
  9. Liu, Y., He, Q., & Sun, W. (2018). Association analysis using somatic mutations. PLoS genetics, 14(11), e1007746. 
  10. He, Q.*, Liu, Y.*, & Sun, W. (2018). Statistical analysis of non-coding RNA data. Cancer letters, 417, 161-167. 
  11. Liu, Y., & Wang, P. (2018). Selection by partitioning the solution paths. Electronic Journal of Statistics, 12(1), 1988-2017.
  12. He, Q.*, Liu, Y.*, Peters, U., & Hsu, L. (2018). Multivariate association analysis with somatic mutation data. Biometrics, 74(1), 176-184. [* Equal contribution]
  13. He, Q., Cai, T., Liu, Y., Zhao, N., Harmon, Q. E., Almli, L. M., ... & Wu, M. C. (2016). Prioritizing individual genetic variants after kernel machine testing using variable selection. Genetic epidemiology, 40(8), 722-731.

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