Curriculum Vita

Contact Information

Address
Division of Biostatistics
School of Public Health, University of Minnesota
A460 Mayo Building, MMC 303
420 Delaware St SE
Minneapolis, MN 55455
Phone
Fax
Email
Homepage
(612) 624-0647
(612) 626-0660
baolin AT biostat DOT umn DOT edu
http://www.biostat.umn.edu/~baolin

Positions

2004-Assistant Professor, Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN

Education

1999-2004PhD, Division of Biostatistics, Dept of Epidemiology & Public Health, Yale University, New Haven, CT
1995-1999BS, Dept of Probability & Statistics, School of Mathematical Sciences, Peking University, Beijing, China

Publications

  1. Wu B, Abbott T, Fishman D, McMurray W, Mor G, Stone K, Ward D, Williams K, Zhao H (2003). Comparison of statistical methods for classification of ovarian cancer using a proteomics dataset. Bioinformatics, 19: 1636-1643.
  2. Zhao H, Wu B, Sun N (2003). DNA-protein binding and gene expression patterns. In Goldstein DR(ed). Science and Statistics: A Festschrift for Terry Speed. IMS Lecture Notes-Monograph Series, Vol. 40, 259-274.
  3. Goh C, Lan N, Douglas S, Wu B, Bertone P, Echols N, Milburn D, Montelione G, Zhao H, Gerstein M (2003). Mining the Structural Genomics Pipeline: Identification and Analysis of Protein Properties that Affect High-Throughput Experimental Analysis. Journal of Molecular Biology, 336: 115-30.
  4. Lai Y, Wu B, Chen L, and Zhao H (2004). Statistical method for identifying differential gene-gene coexpression patterns. Bioinformatics, 20: 3146-3155.
  5. Lin N, Wu B, Jansen R, Gerstein M and Zhao H (2004). Information assessment on predicting protein-protein interactions. BMC Bioinformatics, 5:154.
  6. N. Carriero, M. V. Osier, K-H Cheung, P. L. Miller, M. Gerstein, H. Zhao, B. Wu, S. Rifkin, J. Chang, H. Zhang, K. White, K. Williams, M. Schultz (2005). A 'High Productivity/Low Maintenance' Approach to High Performance Computation for Biomedicine: Four Case Studies. Journal of American Medical Informatics Association, 12: 90-98.
  7. Gulcicek E, Colangelo C, McMurray W, Stone K, Wu B, Wu T, Spratt H, Kurosky A, Zhao H, Williams K (2005). Proteomics and the analysis of proteomic data. In Davison D, Page R, Petsko G, Stormo G, and Stein L(ed). Current Protocols in Bioinformatics, John Wiley and Sons, Indianapolis, IN.
  8. Huang T, Wu B, Lizardi P, Zhao H (2005). Detection of DNA Copy Number Alterations Using Penalized Least Squares Regression. Bioinformatics, 21: 3811-3817.
  9. Wu B (2005). Differential gene expression detection using penalized linear regression model: the improved SAM statistics. Bioinformatics, 21: 1565-1571.
  10. Wu B, Abbott T, Fishman D, McMurray W, Mor G, Stone K, Ward D, Williams K, Zhao H (2006). Ovarian cancer classification based on mass spectrometry analysis of sera. Cancer Informatics, 2:123-132.
  11. Yu W, Wu B, Lin N, Stone K, Williams K, Zhao H (2006). Detecting and aligning peaks in mass spectrometry data with applications to MALDI. Computational Biology and Chemistry, 30: 27-38.
  12. Yu W, Wu B, Liu J, Li X, Williams K, Zhao H (2006). MALDI-MS Data Analysis for Disease Biomarker Discovery. In Nedelkov D(ed). New and Emerging Proteomics Techniques, Human Press Inc., Totowa, New Jersey, USA.
  13. Yu W, Wu B, Huang T, Li X, Williams K, Zhao H (2006). Statistical methods in proteomics. In Pham H(ed). Springer Handbook of Engineering Statistics, Springer-Verlag, London, UK.
  14. Yu W, Li X, Liu J, Wu B, Williams K, Zhao H (2006). Multiple peak alignment in sequential data analysis: A scale-space based approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 3: 208-219.
  15. Wu B, Guan Z and Zhao H (2006). Parametric and nonparametric FDR estimation revisited. Biometrics, 62: 735-744.
  16. Wu B, Liu N and Zhao H (2006). PSMIX: an R package for population structure inference via maximum likelihood method. BMC Bioinformatics, 7:317.
  17. Wu B (2006). Differential gene expression detection and sample classification using penalized linear regression models. Bioinformatics, 22: 472-476.
  18. Wu B (2006). Flexible prediction analysis of microarrays. Statistical applications in genetics and molecular biology, accepted.
  19. Guan Z, Wu B and Zhao H (2006). Nonparametric estimator of false discovery rate based on bernstein polynomials. Statistica Sinica, in press.
  20. Liu J, Yu W, Wu B and Zhao H (2006). Bayesian mass spectra peak alignment from mass charge ratios. Cancer Informatics, 2: 395-419.
  21. Wu B (2006). Cancer outlier differential gene expression detection. Biostatistics, in press. doi:10.1093/biostatistics/kxl029.
  22. Wu B (2006). Predictive model building for microarray data using generalized partial least squares model. Biometrics, tentatively accepted.

Some technical reports

Professional Experiences

Referee for

Bioinformatics; Journal of Agricultural, Biological, and Environmental Statistics; Nucleic Acids Research; Technometrics; Journal of the American Statistical Association; BMC Bioinformatics; Genome Biology; Physiological Genomics; Behavior Genetics; Journal of Biomedicine and Biotechnology; IEEE/ACM Transactions on Computational Biology and Bioinformatics; Journal of Biological Systems; EURASIP Journal on Bioinformatics and Systems Biology; Computational Statistics and Data Analysis; Statistical Applications in Genetics and Molecular Biology; Test; Statistics in Biopharmaceutical Research

NCI study section grant review