Baolin Wu PhD » Faculty – Biostatistics

Research Interests:Computational biology, proteomics, statistical genetics, multiple hypothesis testing, and machine learning.

Associate Professor, Biostatistics

Address Division of Biostatistics A442 Mayo Building, MMC 303 Minneapolis MN 55455 Work Phone: 612-624-0647
Photo of Baolin Wu PhD

Biography:

Baolin Wu received his Ph.D. in biostatistics from Yale University in 2004. His research interests include functional genomics, proteomics, statistical genetics, multiple hypothesis testing, and machine learning. He currently focuses on developing computational and statistical methods to help solve scientific problems in genetics and biology. He teaches categorical data analysis and biostatistics regression for public health students.

  • Ph.D., 2004, Biostatistics, Yale University

Expertise:

Bioinformatics, Biostatistics, Computational Biology, Genetics, Machine Learning, Statistical Genetics

Professional Experience:

  • 2004-Present Tenure-track Assistant Professor, Division of Biostatistics, School of Public Health, University of Minnesota
  • 2002-2004 Research Assistant, HHMI Biopolymer/Keck Laboratory, NHLBI Proteomics Center, Yale University
  • 1999-2002 Teaching and Research Assistant, School of Public Health, Yale University

Honors:

  • 2005 Award for exemplary application for Grant in Aid of artistry and research, University of Minnesota.

Selected Publications:

  • Wu B. Cancer outlier differential gene expression detection. Biostatistics, kxl029, 2006.
  • Wu, B., Guan, Z. and Zhao, H. Parametric and nonparametric FDR estimation revisited. Biometrics, 62:735-744, 2006.
  • Wu, B. Differential gene expression detection and sample classification using penalized linear regression models. Bioinformatics, 22: 472-476, 2006.
  • Wu, B., Liu, N. and Zhao, H. PSMIX: an R package for population structure inference via maximum likelihood method. BMC Bioinformatics, 7:317, 2006.
  • Wu, B., Abbott, T., Fishman, D., McMurray, W., Mor, G., Stone, K., Ward, D., Williams, K., and Zhao, H. Ovarian cancer classification based on mass spectrometry analysis of sera. Cancer Informatics, 2: 123-132, 2006.
  • Yu, W., Wu, B., Lin, N., Stone, K., Williams, K., and Zhao, H. Detecting and aligning peaks in mass spectrometry data with applications to MALDI. Computational Biology and Chemistry, 30: 27-38, 2006.
  • Yu, W., Wu, B., Liu, J., Li, X., Williams, K., and Zhao, H. MALDI-MS Data Analysis for Disease Biomarker Discovery. In Nedelkov D(ed). New and Emerging Proteomics Techniques, Human Press Inc., Totowa, New Jersey, USA, 2006.
  • Yu, W., Wu, B., Huang, T., Li, X., Williams, K., and Zhao, H. Statistical methods in proteomics. In Pham H(ed). Springer Handbook of Engineering Statistics, Springer-Verlag, London, UK, 2006.
  • Huang, T., Wu, B., Lizardi, P., and Zhao, H. Detection of DNA Copy Number Alterations Using Penalized Least Squares Regression. Bioinformatics, 21: 3811-3817, 2005.

Technical Reports:

  • rr2006-011.pdf
    Wu B
    Cancer outlier differential gene expression detection
    Research Report 2006-11, Division of Biostatistics, University of Minnesota, 2006
    Biostatistics, accepted.
  • rr2006-008.pdf
    Wu B
    Flexible prediction analysis of microarrays
    Research Report 2006-8, Division of Biostatistics, University of Minnesota, 2006
    Statistical applications in genetics and molecular biology, accepted.
  • rr2005-029.pdf
    Wu B
    Boosting nearest shrunken centroid classifier for microarray data
    Research Report 2005-29, Division of Biostatistics, University of Minnesota, 2005
  • rr2005-023.pdf
    Wu B
    Predictive model building for microarray data using generalized partial least squares model
    Research Report 2005-23, Division of Biostatistics, University of Minnesota, 2005
  • rr2005-017.pdf
    Huang T, Wu B, Lizardi P, Zhao H
    Detection of DNA Copy Number Alterations Using Penalized Least Squares Regression
    Research Report 2005-17, Division of Biostatistics, University of Minnesota, 2005
    Bioinformatics, accepted.
  • rr2005-002.pdf
    Wu B
    Regularized singular value decomposition: a sparse dimension reduction technique
    Research Report 2005-2, Division of Biostatistics, University of Minnesota, 2005
  • rr2004-030.pdf
    Wu B
    A unified statistical framework for differential gene expression detection and sample classification using penalized linear regression models
    Research Report 2004-30, Division of Biostatistics, University of Minnesota, 2004
    A shortened version to appear in Bioinformatics (revised 2005)
  • rr2004-019.pdf
    Wu B
    Differential gene expression detection using penalized linear regression model: the improved SAM statistics
    Research Report 2004-19, Division of Biostatistics, University of Minnesota, 2004
    Bioinformatics, accepted.
  • rr2004-017.pdf
    Guan Z, Wu B, and Zhao H
    Nonparametric estimator of false discovery rate based on bernstein polynomials
    Research Report 2004-17, Division of Biostatistics, University of Minnesota, 2004
    Statistica Sinica, to appear (revised 2006).
  • rr2004-016.pdf
    Guan Z, Wu B, and Zhao H
    Model-Based Approach to FDR Estimation
    Research Report 2004-16, Division of Biostatistics, University of Minnesota, 2004
    submitted
  • rr2004-015.pdf
    Wu B, Guan Z, and Zhao H
    Parametric and Nonparametric FDR Estimation Revisited
    Research Report 2004-15, Division of Biostatistics, University of Minnesota, 2004
    Biometrics, to appear (revised 2005)