American Journal of Computational and Applied Mathematics

American Journal of Computational and Applied Mathematics is a peer-reviewed international journal. This journal publishes significant research papers from all branches of applied mathematical and computational sciences. It publishes original papers of high scientific value in all areas of computational and applied mathematics.

Mingyi Wang

Editorial Board Member of American Journal of Computational and Applied Mathematics

Research Scientist, The Samuel Roberts Noble Foundation, Inc, USA

Research Areas

Bioinformatics, Machine learning and Parallel Computing

Education

2001-2004Ph.D Bioinformatics, Zhejiang University, Hangzhou, China
1993-1996M.S. Computer Science and Engineering, Zhejiang University, Hangzhou, China
1989-1993B.S. Computer Science and Engineering, Zhejiang University, Hangzhou, China

Experience

2010-presentScientific Data Analyst and Programmer, Department of Scientific Computing, The Samuel Roberts Noble Foundation, Inc., Scientific Data Analyst and Programmer. USA
2008-2010Plant Biology Division, The Samuel Roberts Noble Foundation, Postdoctoral Fellow.USA
2007-2008Indiana University, School of Informatics, Postdoctoral Fellow, USA
2006-2007Cereal Research Center, Agriculture and Argi-Food Canada, NSERC Visiting Fellow, Winnipeg, Canada
1996-2001People's Bank of China, Hangzhou Branch, Computer Engineer, majoring in thedevelopment of financial software,Hangzhou, China

Academic Achievement

2003-2004 Recipient of the first-class fellowship of Zhejiang University for Graduate Studies, China
2000 The third class reward of financial scientific technology progressive, People's Bank of China

Publications: Conferences/Workshops/Symposiums/Journals/Books

[1]  Mingyi Wang, Vagner Augusto Benedito, Patrick Xuechun Zhao and Michael Udvardi*, "Inferring large-scale gene regulatory networks using a low-order constraint-based algorithm", Molecular BioSystems, 6: 988-998, 2010.
[2]  Mingyi Wang and Jake Y. Chen, "A GMM-IG Framework for Selecting Genes as Expression Panel Biomarkers", Artificial Intelligence in Medicine, 48(2-3): 75-82, 2010.
[3]  Ji He*, Vagner A. Benedito, Mingyi Wang, Jeremy D Murray, Patrick X Zhao, Yuhong Tang and Michael Udvardi, "The Medicago truncatula gene expression atlas web server", BMC Bioinformatics, 10: 441, 2009.
[4]  Jiading Yang, Eric Worley, Mingyi Wang, Brett Lahner, David E. Salt, Malay Saha and Michael Udvardi*, "Natural variation for nutrient use and remobilization efficiencies in switchgrass", BioEnergy Research, 2(4): 257-266, 2009.
[5]  Jan Freudenberg, Mingyi Wang, Yaning Yang and Wentian Li*, "Partial correlation analysis indicates causal relationships between GC-content, exon density and recombination rate variation in the human genome", BMC Bioinformatics, 10 (Suppl 1): S66, 2009.
[6]  Mingyi Wang, Zuozhou Chen and Sylvie Cloutier*, "A hybrid Bayesian network learning method for constructing gene networks", Computational Biology and Chemistry, Vol.31 (5-6): 361-372, 2007.
[7]  Wentian Li*, Mingyi Wang, Patricia Irigoyen, and Peter K. Gregersen, "Inferring causal relationships among intermediate phenotypes and biomarkers: a case study of rheumatoid arthritis", Bioinformatics, Vol. 22(12): 1503-1507, 2006.
[8]  Mingyi Wang, Huijuan Lu, Zuozhou Chen and Ping Wu*, "Mining gene expression databases for local causal relationships using a simple constraint-based algorithm", International Journal of Pattern Recognition and Artificial Intelligence, Vol. 20(2): 311-327, 2006.
[9]  Mingyi Wang, Delin Wang and Jinzhong Huang, "Gene Selection and tissue classification methods based on probabilistic neural networks", (in Chinese) Bulletin of Science and Technology, Vol. 21(1): 10-13, 2005.
[10]  Mingyi Wang, Ping Wu and Shunren Xia, "Microarray data classification based on artificial neural network ensembles", (in Chinese) Journal of Zhejiang University, Vol. 39(7), 2005.
[11]  Mingyi Wang, Shunren Xia and Zuozhou Chen, "Progress on methods for inferring the gene networks from microarray data", (in Chinese) Acta Biophysica Sinica Vol. 21(1): 19-25, 2005.
[12]  Shuangyan Chen, Weizheng Jin, Mingyi Wang, Fan Zhang, Jie Zhou, Qiaojun Jia, Yunrong Wu, Feiyan Liu and Ping Wu*, "Distribution and characterization of over 1000 T-DNA tags in rice genome", the Plant Journal, Vol. 36: 105-113, 2003.
[13]  Ping Wu, Ligeng Ma, Xingliang Hou, Mingyi Wang, Yunrong Wu, Feiyang Liu and Xingwang Deng*, "Phosphate starvation triggers distinct alterations of genome expression in Arabidopsis roots and leaves". Plant Physiology, Vol. 132: 1260-1271, 2003.
[14]  Mingyi Wang, Ping Wu and Shunren Xia, "Improving performance of gene selection by unsupervised learning", IEEE Conference on Neural Networks and Signal Processing, Nanjing, China, 2003.