Prof. Juan
Liu
Wuhan University, China
Professor
Email: liujuan@whu.edu.cn
Qualifications
2000–2002
Post-doctoral Fellow, Department of Information and Communication, University
of Tokyo, Japan
1991–1996 Ph.D., Computer Science and Technology Program, State Key
Laboratory of Software Engineering, Department of Computer Science, Wuhan
University, China
1987–1991 B.S., Department of Computer Science, Wuhan University, China
Publications (Selected)
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W. Zhang, J.
Liu, Y.Q. Niu, Quantitative prediction of MHC-II binding affinity using
Particle Swarm optimization, Artificial Intelligence in Medicine, 2010, 50:
127–132
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Y. Xiong,
J. Liu, D.Q. Wei, An accurate feature-based method for identifying DNA-binding
residues on protein surfaces,PROTEINS:
Structure, Function, and Bioinformatics (in press)
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T. Zeng, J.Y.
Li, J. Liu, Distinct interfacial biclique patterns between ssDNA-binding
proteins and those with dsDNAs, PROTEINS: Structure, Function, and
Bioinformatics (in press)
-
J. Liu, L.
Wang, S.F. Zhu, SVR-PAIRWISE method to predict MHC-II binding peptides,
International J. Bioinformatics Research and Application, 2010, 6(1):58-68
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J. Liu,
Q.J. Li, W. Zhang, A novel Locally Linear Embedding and Wavelet Transform based
encoding method for prediction of MHC-II binding affinity, Interdiscip Sci
Comput Life Sci 2010, 2: 1–6
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F. Luo,
J.Y.Li, J. Liu, Discover conditional co-regulated protein complexes by
integrating diverse data sources, BMC Systems Biology, 2010, 4(Suppl 2):S4
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T. Zeng, J.
Liu, A Novel Mixture Classifier and its Application in Breast Cancer Prognosis,
accepted by Journal of Artificial Intelligence in Medicine, 2010, 48:129-137
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J. Liu,
B. Li, J.H. Xiong, MDAS: An integrated system for metabonomic data analysis,
Interdisciplinary Sciences-Computational Life Sciences, 2009, 1(1):61-71
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W. Zhang,
J. Liu, A Bayesian regression approach to the prediction of MHC-II binding
affinity, Computer Methods and Programs in Biomedicine, 2008, 92(1):1-7
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W. Zhang,
J. Liu, Y.Q. Niu, Quantitative Prediction of MHC-II peptide binding affinity
using relevance vector machine, Applied Intelligence, 2009,
31(2):180-187
Profile
Details
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