Erliang Zeng

Research Assistant Professor / Managing Director of Bioinformatics Core
Computer Science and Engineering
University of Notre Dame

Fields of interest:


Computational biology

Data mining


Recent publication:

E. Zeng, C. Ding, K. Mathee, L. Schneper and G. Narasimhan:
Gene function prediction and functional network: the role of gene ontology,
DATA MINING: Foundations and Intelligent Paradigms, Dawan E. Holmes and Lakhmi C. Jain (Eds.), Springer, 2011

E. Zeng, C. Yang, T. Li and G. Narasimhan:
Clustering Genes using Heterogeneous Data Sources,
International Journal of Knowledge Discovery in Bioinformatics, 1(2):12-28, 2010

W. Zhang, S. Emrich and E. Zeng:
A Two-Stage Machine Learning Approach for Pathway Analysis,
Proceedings of BIBM'10: the IEEE International Conference on Bioinformatics and Biomedicine, Hong Kong, December, 2010

E. Zengand M. Ogihara:
Nonnegative Least Square – A New Look Into SAGE Data,
Proceedings of CSB'09: the LSS Computational Systems Bioinformatics Conference, P151-161, Stanford, CA, August, 2009

M. Doud, E. Zeng, L. Schneper, G. Narasimhan and K. Mathee:
Approaches to analyze dynamic microbial communities such as those seen in cystic fibrosis lung,
Human Genomics, 3(3):246-256, 2009

K. Mathee, G. Narasimhan, C. Valdes, X. Qiu, J. Matewish, M. Koehrsen, A. Rokas, C. Yandava, R. Engels, E. Zeng, R. Olavarietta, M. Doud, R. Smith, P. Montgomery, J. White, P. Godfrey, C. Kodira, B. Birren, J. Galagan and  S. Lory:
Dynamics of Pseudomonas aeruginosa genome evolution,
Proceedings of the National Academy of Sciences (PNAS) 105(8):3100-05, 2008

E. Zeng, C. Yang, T. Li and G. Narasimhan:On the Effectiveness of Constraints Sets in Clustering Genes,
Proceedings of BIBE'07: the 7th IEEE International Symposium on Bioinformatics & Bioengineering, pp. 79-86, Boston, MA, October, 2007