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I currently focus my research
on developing variable selection methods based on a new penalization-framework
for high-dimensional data, and applying them to whole-genome association
study, whole-genome animal/plant selection, eQTL mapping, and analysis of
gene-gene/gene-environment interaction.
Statistical
Methodologies
Bayesian
Analysis, Empirical Likelihood Approach, Generalized Thresholding,
Graphical Models, Multivariate Extreme Values, Multivariate Statistics,
Variable Selection for Large p Small n Data
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1.
D. Zhang, Y. Lin and M. Zhang
(2009). Penalized
orthogonal-components regression for large p small n data.
Electronic Journal of Statistics, 3: 781-796.
2.
M. Zhang, D. Zhang and M.T. Wells
(2009). Generalized thresholding estimators for high-dimensional
location parameters. Accepted by Statistica Sinica.
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3.
D. Zhang, M. T. Wells and L.
Peng (2008). Nonparametric
estimation of the dependence function for a multivariate extreme value
distribution. Journal of Multivariate Analysis, 99: 577-588.
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4.
N.-H. Chan, L. Peng and D.
Zhang (2007). Empirical-likelihood-based confidence intervals for
conditional variance in heteroscedastic regression models. Accepted
by Econometric Theory.
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5.
D. Zhang, M. T. Wells, B. W.
Turnbull, D. Sparrow and P. A. Cassano (2005). Hierarchical
Graphical Models: An Application to Pulmonary Function and Cholesterol
Levels in the Normative Aging Study. Journal of the American
Statistical Association, 100: 719-727.
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6.
D. Zhang, S. He and Z. Xie
(1993). Outlier Detection and Intervention for ARIMA(p,d,0). Proceedings
of First Asian Conference on Statistical Computation.
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Statistical
Genetics and Bioinformatics
Analysis
of Gene Expression Data, Analysis of Mass Spectrometry Data, Comparative Proteomics/Metabolomics
Study, Quantitative Trait Loci Mapping, Whole-Genome Association Study
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1.
Y. Lin, M. Zhang, L. Wang, V. Pungpapong,
J.C. Fleet, and D. Zhang (2009). Simultaneous genome-wide association
studies of anti-CCP in rheumatoid arthritis using penalized
orthogonal-components regression. Accepted by BMC Proceedings.
2.
M. Zhang, Y. Lin, L. Wang, V. Pungpapong,
J.C. Fleet, and D. Zhang (2009). Case-control genome-wide association
study of rheumatoid arthritis from GAW16 using POCRE-LDA. Accepted by
BMC Proceedings.
3.
N. Liu, D. Zhang, and H. Zhao (2009). Genotyping
error detection in samples of unrelated individuals without replicate
genotyping. Human Heredity, 67: 154-162 (DOI:
10.1159/000181153).
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4.
D. Zhang, X. Huang, F.E. Regnier, and M.
Zhang (2008). Two-dimensional
correlation optimized warping algorithm for aligning GCXGC-MS data. Analytical
Chemistry, 80 (8): 2664-2671.
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5.
M. Zhang, D. Zhang, M. T., Wells (2008). Variable selection
with large p small n regression models: mapping QTL with epistasis. BMC
Bioinformatics, 9:251.
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6.
D. Zhang and M. Zhang (2007). Bayesian
profiling of molecular signatures to predict event times. Theoretical
Biology & Medical Modelling, 4:3, doi:10.1186/1742-4682-4-3.
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7.
D. Zhang, M. Zhang, and M. T. Wells (2006). Multiplicative
Background Correction for Spotted Microarrays to Improve Reproducibility.
Genetical Research, 87: 195-206.
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8.
M. Zhang, K. L. Montooth, M. T. Wells, A. G.
Clark and D. Zhang (2005). Mapping
Multiple Quantitative Trait Loci by Bayesian Classification. Genetics,
169: 2305-2318.
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9.
D. Zhang, M. T. Wells, C. D. Smart, and W.
E. Fry (2005). Bayesian
Normalization and Inference for Differential Gene Expression Data. Journal
of Computational Biology, 12: 391-406.
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10.
Complex Traits Consortium (2004). The
Collaborative Cross: A Community Resource for the Genetic Analysis of
Complex Traits. Nature Genetics, 36: 1133-1137.
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Applied Statistics
Analysis
of Diverse Biomedical Data
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1.
T.R. Mhyre, R. Loy, P.N. Tariot, L.A. Profenno,
K.A. Maguire-Zeiss, D. Zhang, P.D. Coleman and H.J. Federoff (2008). Proteomic
analysis of peripheral leukocytes in Alzheimer's disease patients treated
with divalproex sodium. Neurobiology of Aging, 29: 1631-1643.
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2.
S. W. Perry, J. P. Norman, A. Litzburg, D.
Zhang, S. Dewhurst and H. A. Gelbard (2005). HIV-1 Transactivator
of Transcription Protein Induces Mitochondrial Hyperpolarization and
Synaptic Stress Leading to Apoptosis. Journal of Immunology,
174: 4333-4344.
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3.
M. Zhang, X. Wang, D. Zhang, G. Xu, H. Dong,
Y. Yu and J. Han (2004). Orphanin
FQ Antagonizes the Inhibition of Ca2+ Currents Induced by Mu-opioid
Receptors. Journal of Molecular Neuroscience, 25: 21-27.
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Statistical
Packages
All
are developed in MATLAB. All copyrights are retained by Dabao Zhang unless stated
otherwise. They are free to use for academic purpose with proper citation.
Please contact me for any bugs
and application issues.
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POCRE: Implement the penalized
orthogonal-component regression (POCRE) algorithm proposed in Zhang,
Lin and Zhang (2009).
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2DCOW: Implement the two-dimensional
correlation optimized warping algorithm proposed in Zhang,
Huang, Regnier and Zhang (2008).
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MicroBayes:
Implement the approach proposed in Zhang,
Wells, Smart, and Fry (2005).
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GEBCauchy: Implement the generalized
empirical Bayes thresholding with Cauchy priors proposed in Zhang,
Zhang and Wells (2009).
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GEBLaplace: Implement the generalized
empirical Bayes thresholding with Laplace priors which is developed in a
paper in preparation (see Zhang, Zhang and Wells, 2009 for
GEBT).
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QTLBayes:
Implement the Bayesian approach for QTL mapping proposed in Zhang,
Montooth, Wells, Clark and Zhang (2005), which is extended in Zhang, Zhang, and
Wells (2008) and another paper in preparation.
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SemMix: Implement the EM
algorithm for mixed graphical models as described in Zhang,
Wells, Turnbull, Sparrow and Cassano (2005).
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