Naijun Sha
Associate
Professor
Office: Bell Hall 203
Phone: (915)747-6844
Fax: (915)747-6502
E-mail: nsha@utep.edu
Education
Research Interests
- Classification
and Clustering, Variable Selection Technique, Bayesian Approach,
Bioinformatics.
Courses (Fall 2009)
- STAT 5385(Statistics in Research)
- BINF/STAT 5354(Post-Genomic Analysis)
Honors and Awards
- 2005-2009, 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.
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.
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