Zhenqiu Liu
Affiliation
E-mail: zhenqiu_l@rerf.or.jp
About
Education
- 2002
- Doctor of Philosophy, Operations Research (Management Science), The University of Tennessee, Knoxville, TN, USA.
- 2002
- Master of Science, Computer Science, The University of Tennessee, Knoxville, TN, USA.
- 1989
- Master of Science, Applied Math, Shandong University, Shandong Province, China
- 1986
- Bachelor of Engineering, Applied Geophysics, Jilin University, Jilin Province, China
Experience
- Radiation Effects Research Foundation, Department of Statistics
-
- 2022-
Senior Scientist
- 2022-
- Pennsylvania State University, College of Medicine, Hershey, Pennsylvania, USA
-
- 2018-2022
Associate Professor of Bioinformatics, Department of Public Health Sciences
- 2018-2022
- Cedars-Sinai Medical Center, Los Angeles, California, USA
-
- 2013-2018
Director of Bioinformatics/Associate Professor, Samuel Oschin Comprehensive Cancer Institute
- 2013-2018
- University of Maryland School of Medicine, Baltimore, Maryland, USA
-
- 2010-2013
Associate Professor, Division of Bioinformatics and Biostatistics, Department of Epidemiology and Public Health
- 2005-2010
Assistant Professor (tenure track), Division of Bioinformatics and Biostatistics, Department of Epidemiology and Public Health
- 2010-2013
- The Ohio State University, Columbus, Ohio, USA
-
- 2004-2005
Postdoctoral Research Fellow in statistical genetics and bioinformatics, Department of Statistics
- 2004-2005
- US Amy Medical Research and Material Command, Frederick, Maryland, USA
-
- 2003-2004
Postdoctoral Research Fellow, Bioinformatics Cell, Telemedicine and Advanced Technology Research Center
- 2003-2004
- The University of Tennessee, Knoxville, Tennessee, USA
-
- 2002-2003
Senior Computer Programmer, Community Health Research Group
- 2002-2003
Selected publications
- Liu Z. Clustering Single-Cell RNA-Seq Data with Regularized Gaussian Graphical Model. Genes (Basel). 2021 Feb 22; 12(2):311. doi: 10.3390/genes12020311.
- Liu Z. Visualizing Single-Cell RNA-seq Data with Semi-supervised Principal Component Analysis. Int J Mol Sci. 2020 Aug 12; 21(16):5797. doi: 10.3390/ijms21165797.
- Liu Z, Elashoff D, Piantadosi S. Sparse support vector machines with L0 approximation for ultra-high dimensional omics data. Artif Intell Med. 2019 May; 96:134-141. doi: 10.1016/j.artmed.2019.04.004.
- Liu Z, Sun F, McGovern DP. Sparse Generalized Linear Model with L0 Approximation for Feature Selection and Prediction with Big Omics Data. Biodata Mining. 2017 Dec 19; 10:39. doi: 10.1186/s13040-017-0159-z.
- Liu Z, Lin S, Deng N, McGovern D, Piantadosi S. Sparse inverse covariance estimation with L0 Penalty for Network Construction with Omics Data. Journal of Computational Biology. 2016 Mar; 23(3):192-202.
- Liu Z, Sun F, Braun J, McGovern D, Piantadosi S. Multilevel Regularized Regression for Simultaneous Taxa Selection and Network Construction with Metagenomic Count Data. Bioinformatics. 2014 Nov 20.
- Liu Z, Hsiao W, Cantarel BL, Drábek EF, Fraser-Liggett C. Sparse Distance Based Learning for Simultaneous Multiclass Classification and Feature Selection of Metagenomic Data. Bioinformatics. 2011 Oct 7.
- Liu Z, Lin S, Tan M. Sparse support vector machine with Lp penalty for biomarker discovery. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). 2010 Jan-Mar; 7(1): 100-7.
- Liu Z, Tan M. ROC Based Utility function Maximization for Feature Selection and Classification with Application to High Dimensional protease Data. Biometrics. 2008 Mar 24.
- Liu Z, Lin, S. Multiplies LD measure and tagging SNP selection with generalized mutual information. Genetic Epidemiology. 2005; vol.19, 4, (353-364).