Dr. Wen
Zhang
Icahn
School of Medicine at Mount Sinai, USA
Email:
zhang.wen81@gmail.com
Qualifications
2012
M.S., Michigan Technological University, USA
2009
Ph.D., Shanghai University, China
2002
B.S., Shanghai Normal university, China
Publications
(Selected)
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Z.H.
Yang, W. Zhang, Y.M. Chu. Sharp Gautschi inequality for parameter 0 < p <
1 with applications. Mathematical Inequalities & Applications. In press.
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Y.M.
Chu, W.M. Qian, Z.H. Yang, W. Zhang. Monotonicity Rule for the Quotient of Two
Functions and Its Application. Journal of Inequalities and Applications. (2017)
2017:106. DOI 10.1186/s13660-017-1383-2.
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Zhao,
T. H., Chu, Y. M, Zhang, W., Optimal inequalities for bounding Toader mean by
arithmetic and quadratic means. Journal of Inequalities and Applications.
2017:26. DOI: 10.1186/s13660-017-1300-8.
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Yang,
Z. H., Zhang, W., Chu, Y. M., Monotonicity of the incomplete gamma function
with applications. Journal of Inequalities and Applications. 2016:251. DOI: 10.1186/s13660-016-1197-7.
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Yang,
Z. H., Zhang, W., Chu, Y. M., Monotonicity and inequalities involving the
incomplete gamma function. Journal of Inequalities and Applications. 2016:221.
DOI: 10.1186/s13660-016-1160-7.
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Chu,
H.H., Yang, Z.H., Chu, Y.M., Zhang, W. Generalized Wilker-type inequalities
with two parameters. Journal of Inequalities and Applications. 2016:187. DOI:
10.1186/s13660-016-1127-8
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Yang,
Z. H., Chu, Y. M., Zhang, W., Monotonicity of the Ratio for the Complete
Elliptic Integral and Stolarsky Mean. Journal of Inequalities and Applications.
2016(1): 176. DOI: 10.1186/s13660-016-1113-1.
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Yang,
Z. H., Chu, Y. M., Zhang, W., Accurate approximations for the complete elliptic
integral of the second kind. Journal of Mathematical Analysis and Applications.
06/2016, 438(2), pp. 875–888.
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Zhang,
Q., Nogales-Cadenas, R., Lin, JR., Zhang, W, et al, Systems-level analysis of
human aging genes shed new light on mechanisms of aging. Human Molecular
Genetics. 2016(0):1-14. DOI:10.1093/hmg/ddw145.
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Chu,
H.H., Yang, Z.H., Zhang, W., Chu, Y.M., Improvements of the Bounds for
Ramanujan Constant Function. Journal of Inequalities and Applications.
2016:196. DOI 10.1186/s13660-016-1140-y.
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Zhang,
Q., Zhang, W, Nogales-Cadenas, R., et al, From gene expression to disease
phenotypes: network-based approaches to study complex human diseases.
Transcriptomics and Gene Regulation Translational Bioinformatics 2016, 9:
115-140.
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Zhang,
W., Lin, Z. R., Nogales-Cadenas, R., et al, Prioritization of schizophrenia
risk genes by a network-regularized logistic regression method. IWBBIO, Vol.
9656 von Lecture Notes in Computer Science, Seite 434-445. Springer, 2016. DOI:
10.1007/978-3-319-31744-1_39.
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Nogales-Cadenas,
R., Cai, Y., Lin, JR., Zhang, Q., Zhang, W, et al, MicroRNAs expression and
gene regulation drive breast cancer progression and metastasis in PyMT mice.
Breast Cancer Research. 2016, 18(1): 75.
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Wang,
M. K., Zhang, W., Chu, Y. M. Monotonicity, Convexity and Inequalities for Some
Functions Involving the Generalized Elliptic Integrals. Journal of Mathematical
Analysis and Applications. Submitted.
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M.
Hauberg, W. Zhang, C. Giambartolomei, O. Franzén, et al. Large-scale
Identification of Common Trait and Disease Variants Affecting Gene Expression.
American Journal of Human Genetics. 2017. DOI: 10.1016/j.ajhg.2017.04.016.
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Lin,
Z. R., Cai, Y., Zhang, Q, Zhang, W, et al, Integrated post-GWAS analysis shed
new light on the disease mechanisms of schizophrenia. Genetics. 2016; DOI:
10.1534/genetics.116.187195.
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Zhang,
W., Wan, Y. W., Liu, Z. D. et al, Molecular pathway identification using
biological network-regularized logistic models. BMC Genomics 14 Suppl 8: S7.
Also in International Conference on Intelligent Biology and Medicine (ICIBM
2013), Nashville, TN.
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Su,
J., Zhang, L., Zhang, W., Chang, J., Zhou, X. B., et al. Targeting the
Biophysical Properties of the Myeloma Initiating Cell Niches: A Pharmaceutical
Synergism Analysis Using Multi-scale Agent-based Modeling. PLoS One. 2014,9(1):
e85059 doi:10.1371/journal.pone.0085059.
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Jiang,
B., Zhang, L., Zhang, W., Struthers, A., Berens, M., and Zhou, X., Accelerate
numerical diffusion solver of 2D multiscale and multi-resolution agent-based
brain cancer model by employing graphics processing unit technology, The 2011
International Conference on Biocomputation, Proceedings of BIOCOMP'11, Las
Vegas, NV 2011, pp. 523-528.
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Su,
J., Choi, D. S., Zhang, W. et al. Modeling the Biomechanical Roles of Cancer
Stem Cell Niche in Myeloma Development. Biophysical Journal. 01/2012;
102(3):731-. DOI: 10.1016/j.bpj.2011.11.3965.
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Ma,
H., Qin, T., and Zhang, W*., An efficient Chebyshev Algorithm for the solution
of optimal control problems, IEEE Transactions on Automatic Control, 56(3),
2011, pp. 675-680.
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Zhang,
W*., Ma, H., The Chebyshev-Legendre collocation method for a class of optimal
control problems. International Journal of Computer Mathematics, 85(2), 2008,
pp. 225-240.
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Zhang,
W.*, Ma, H., Chebyshev-Legendre method for discretizing optimal control
problems. Journal of Shanghai University (English Version), 13(2), pp. 113-118,
2009.
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Zhang,
W.*, Zhang, G., Improved rule-based backward fuzzy reasoning algorithm‚ Journal
on communication‚ 29(2): 101-105 Feb. 2008.
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Zhang,
W., A numerical method for solving nonsmooth optimal control problems (in Chinese),
Appl. Math. A, J. Chinese Univ. (A Series), vol. 24, no. 2, pp. 207-220, 2009.
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Zhang,
W.*, Zhang, G., An improved rule-based weighted fuzzy reasoning algorithm‚
Computer Engineering‚ in Chinese, 33(7): 15-17, Apr 2007.
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Zhang,
W.*, Ma, H., The Chebyshev-Legendre pseudospectral methods for Linear-Quadratic
optimal control problems. Numerical computation and computer application.
2009(2).
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Su,
J., Choi, D. S., Zhang, W., Jiang, B., Zhang, L., Chang, J., Zu, Y., and Zhou,
X.B., Modeling the Biomechanical Roles of Cancer Stem Cell Niche in Myeloma
Development, The Biophysical Society 56th Annual Meeting in San Diego,
California (2012).