Zhi Wei
Assistant Professor
Department of Computer Science
New Jersey Institute of Technology
GITC 4400, University Heights
Newark, NJ 07102
Email: zhiwei AT njit.edu, Phone: (973) 642-4497  Fax: (973) 596-5777

Ph.D. Bioinformatics, Univ. of Pennsylvania, 2008.
M.S. Computer Science, Rutgers University-New Brunswick, 2004.
B.S. Computer Science, Wuhan University.

Teaching:
Spring 2013: BNFO620 Genomic Data Analysis,  CS786 Advanced Topics in Machine Learning
BNFO615 Data Analysis in Bioinformatics: Fall 08, 09, 10, 11, 12
CS698 Machine Learning: Spring 2011
CS698 Selected Topics in High Dimensional Data Analysis: Spring 2010
CS103 Introduction to Computer Science, Spring 2009

Research Interests:
    Bioinformatics, Computational Genetics, Systems Biology and Cancer genomics, Statistical/Machine Learning

Selected Publications: (a more complete list)

  • Wei Z and Jensen T Shane, GAME: Detecting Cis-regulatory Elements Using a Genetic Algorithm, Bioinformatics, 2006 22:1577-1584, Software GAME.
  • Wei Z and Li Hongzhe, Nonparametric Pathway-Based Regression Models for Analysis of Genomic Data, Biostatistics, 2007 8: 265-284
  • Wei Z and Li Hongzhe, A Markov Random Field Model for Network-based Analysis of Genomic Data, Bioinformatics, 2007 23:1537-1544
  • Wei Z and Li Hongzhe, A Hidden Spatial-temporal Markov Random Field Model for Network-based Analysis of Time Course Gene Expression Data, Annals of Applied Statistics, 2008, 2: 408-429
  • Wei Z, Li Mingyao, Rebeck T and Li Hongzhe, U-Statistics-based Tests for Multiple Genes in Genetic Association Studies, Annals of Human Genetics, 2008, 72: 821-833
  • Wei Z, Sun Wenguang, Wang K and Hakonarson H, Multiple Testing in Genome-Wide Association Studies via Hidden Markov Models, Bioinformatics, 2009 25:2802-2808, Software PLIS. 
  • Wei Z, Wang K, Qu H, Zhang H, Bradfield J, Kim C, Frackleton E, Hou C, Glessner JT, Chiavacci R, Stanley C, Monos D, Grant SFA, Polychronakos C and Hakonarson H, From Association to Disease Risk Prediction: an Optimistic View from Genome-wide Association Studies on Type 1 Diabetes, PLoS Genetics, 2009, 5(10): e1000678
  • Li C, Wei Z, and Li Hongzhe, Network-based Empirical Bayes Methods for Linear Models with Applications to Genomic Data, Journal of Biopharmaceutical Statistics, 2010 20 (2): 209-222.
  • Wang W, Wei Z, and Sun Wenguang, Simultaneous Set-Wise Testing Under Dependence, with Applications to Genome-Wide Association Studies, Statistics and Its Interface, 2010 3 (4): 501-512.
  • Li Hongzhe, Wei Z, and Maris John, A Hidden Markov Random Field Model for Genome-wide Association Studies, Biostatistics, 2010, 11:139-150.
  • Sun Wenguang and Wei Z, Multiple Testing for Pattern Identification, with Applications to Microarray Time Course Experiments, Journal of the American Statistical Association, 2011 106 (493): 73–88, .
  • Wei Z, Wang W, Hu P, Lyon GJ, and Hakonarson H, SNVer: a statistical tool for variant calling in analysis of pooled or individual next-generation sequencing data, Nucleic Acids Research,  2011 39 (19): e132. Software SNVer
  • Daye Z John, Li Hongzhe and Wei Z, A powerful test for multiple rare variants association studies that incorporates sequencing qualities, Nucleic Acids Research, 2012 40 (8): e60. Software qMSAT 
  • W Wang, W Hu, F Hou, P Hu and Wei Z, SNVerGUI: a desktop tool for variant analysis of next-generation sequencing data, Journal of Medical Genetics, 2012 49 (12), 753-755. Software SNVerGUI
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