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Xiang Zhang

Professor

Director, CREAM Center

Xiang Zhang
Division: Analytical Chemistry
Specialty: Bioanalytical Chemistry & Bioinformatics
Office: Shumaker Research Bld 349
Office Phone: 502-852-8878
Lab Phone: 502-852-3212
Email: xiang.zhang@louisville.edu
Website: Zhang Group Web Page

CREAM Center

Education and Research Experience

1989 B.S.   Lanzhou University
1994 M.S.  Institute of Modern Physics, Chinese Academy of Sciences
2001 Ph.D. Purdue University

Research Interests

We are interested in multidisciplinary life sciences research. Our expectation is that the chemistry of biomolecules in living systems can define disease mechanisms. We would like to tell the biological story revealed by these molecules with advanced bioinformatics methodologies and modern analytical techniques. Our bioanalytical research exploits practical and efficient high-throughput technologies for the analyses of complex mixtures derived from living systems. The bioinformatics research in our group develops informatics system that enables mining of high-throughput data for molecular identification, quantification, molecular networks elucidation, and ‘systems level’ knowledge assembly.

Recent Publications

Compound identification using penalized linear regression in metabolomics.
Liu, R.; Wu, D.; Zhang, X.; Seongho, K.
J. Mod. Appl. Stat.  2014, in press.

A new method of peak detection for analysis of comprehensive two-dimensional gas chromatography mass spectrometry data.
Kim, S.; Ouyang, M.; Shen, C.; Zhang, X.
Annals of Applied Statistics  2014, 8, 1209-1231.

Comparative analysis of false discovery rate in constructing metabolic association networks.
Koo, I.; Yao, S.; Zhang, X.; Kim, S.
J. Bioinformatics Computational Biology  2014, 12(4), 1450018.

Constructing metabolic association networks using high-dimensional mass spectrometry data.
Koo. K.; Wei, X.; Shi, X.; Zhou, Z.; Kim, S.; Zhang, X.
Chemometri. Intell. Lab.  2014, 138, 193-202.

Discovery of false identification using similarity difference in GC-MS based metabolomics.
Kim,S.; Zhang, X.
J. Chemometr  2014, in press.

Dysregulation of hepatic zinc transporters in a mouse model of alcoholic liver disease.
Sun, Q.; Li, Q.; Zhong, W.; Zhang, J.; Yin, X.; Sun, X.; Tan, X.; Sun, X.; Zhang, X.; Zhou, X.
Am. J. Physiol. –Gastr. L.  2014, 307, 313-322.

Data dependent peak model-based spectrum deconvolution for analysis of LC-MS data.
Wei, X.; Shi, X.; Kim, S.; S, K.; Patrick, J.S.; Binkley, J.; Kong, M.; McClain, C.; Zhang, X.
Anal. Chem.  2014, 86(4), 2156-2165.

The effect of black raspberry extracts on MnSOD activity in protection against Concanavalin A induced liver injury.
Li, X.; Li, Y.; States, V.A.; Li, S.; Zhang, X.; Martin, R.C.
Nutri. Cancer  2014, 9:1-8.

iMatch2: Compound identification using retention index for analysis of gas chromatography-mass spectrometry data.
Koo, I.; Shi, X.; Kim, S.; Zhang, X.
J. Chromatogr. A  2014, 1337, 202-210.

Compound identification in GC-MS by simultaneously evaluating mass spectrum and retention index.
Wei, X.; Koo, I.; Kim, S.; Zhang, X.
Analyst  2014, 139 (10), 2507 - 2514.

Metabolomic analysis of the effects of chronic arsenic exposure in a mouse model of diet-induced fatty liver disease.
Shi, X.; Wei, X.; Koo, I.; Schmidt, R.H.; Yin, X.; Vaughn, A.; Kim, S.H.; McClain, C.J.; Arteel, G.E.; Zhang, X.; Watson, W.H.
J. Proteome Res.  2014, 13, 547−554.

Hepatic protection and anticancer activity of curcuma: A potential chemopreventive strategy against hepatocellular carcinoma.
Li, Y.; Shi, X.; Zhang, J.; Zhang, X.; Martin, R.
Int. J. Oncol.  2014, 44, 505-513.

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