Naijun Sha
Assistant Professor
Office: Bell Hall 203
Phone: (915)747-6844
Fax: (915)747-6502
E-mail: nsha@utep.edu
Education:
Courses (Spring 2008):
- STAT 2380 (Statistical
Methods I)
- STAT 4380 (Statistics
I)
Research Interests:
- Classification and
Clustering, Variable Selection Technique, Bayesian Approaches, Bioinformatics.
Honors and Awards:
- 2005-2007, Elected Member, Marquis Who's Who in America.
- Jan. 2004, Elected Member, AcademicKeys Who's Who in Sciences
Higher Education(WWSHE).
- Apr. 2001, Phi Kappa Phi, Texas A&M University.
Recent Selected Publications
- Kwon, D., Tadesse, M.G., Sha, N.,Pfeiffer,
R. and Vannucci, M. (2007). Identifying biomarkers from mass spectrometry
data with ordinal outcomes. Cancer Informatics, 3, 19-28.
- Sha, N., Tadesse, M.G. and Vannucci,
M. (2006). Bayesian variable selection for the analysis of microarray
data with consored outcomes. Bioinformatics, 22(18),
2262-2268.
- Tadesse, M.G., Sha, N., Kim, S. and Vannucci,
M. (2006). Identification of biomarkers in classification and clustering
of high-throughput data. In Bayesian Inference for Gene Expression
and Proteomics, Kim-Anh Do, Peter Mueller and Marina Vannucci (Eds).
Cambridge University Press, 97-115.
- Tadesse, M., Sha, N. and Vannucci,
M. (2005). Bayesian variable selection in clustering high-dimensional
data. Journal of American Statistical Association, 100, 602-617.
- Sha, N., Vannucci, M., Tadesse,
M.G., Brown, P.J., Dragoni, I., Davies, N., Roberts, T.C., Contestabile,
A., Salmon, M., Buckley, C. and Falciani, F. (2004). Bayesian variable
selection in multinomial probit models to identify molecular signatures
of disease stage. Biometrics, 60(3), 812-819.
Association Links:
Favorites:
- News & sports.
- Political issues.
You are visitor number
since Dec. 20, 2002.
last modified in Nov, 2007.