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
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Bayesian
Analysis, Empirical Likelihood Approach, Graphical Models, Multivariate
Extreme Values, Multivariate Statistics, Shrinkage Estimators, Variable
Selection for Large p Small n Data
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D. Zhang, Y. Lin and M. Zhang
(2009). Penalized orthogonal-components regression for large p small n
data. Accepted by Electronic
Journal of Statistics (see an old version: arXiv:0811.4167v3[stat.ME]).
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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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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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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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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 American
Statistics Association, 100: 719-727.
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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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Statistics in
Bioinformatics
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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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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.
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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.
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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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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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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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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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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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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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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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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
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Analysis
of Diverse Biomedical Data
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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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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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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
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All
are developed in MATLAB. All copyrights are retained by Dabao Zhang and/or Min 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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MapMSDiff: Developed for
comparative proteomic/metabolomic studies using one-dimensional mass spectrometry
data which is described in a paper in preparation. We may extend
it for multi-dimensional mass spectrometry data in future.
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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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Talks
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