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Xin Gao

Associate Professor, Computer Science 

Computer, Electrical and Mathematical Science and Engineering Division
Center membership : 
Computational Bioscience


Structural and Functional Bioinformatics Group

Affiliations

Education Profile

  • ​​​​​​​​​​Ph.D. University of Waterloo, Canada, 2009
  • B.S. Tsinghua University, 2004

Research Interests

​Professor Gao's research interests are bioinformatics, computational biology, machine learning and algorithms. He is interested in building computational models, designing effective and efficient algorithms, and developing machine learning techniques to solve key open problems along the path from protein amino acid sequences, to three-dimensional structures, to their functions, and to their behaviors in complex biological networks.

Selected Publications

  • ​A. Abbas, X. Guo, B. Jing, and X. Gao. An automated framework for NMR resonance assignment through simultaneous slice picking and spin system forming. Journal of Biomolecular NMR. (2014). 59(2): 75-86.
  • H. Kuwahara, M. Fan, S. Wang, and X. Gao. A framework for scalable parameter estimation of gene circuit models using structural information. Bioinformatics. (2013). 29(13): i98-i107.
  • B. Xie, B. Jankovic, V. Bajic, L. Song, and X. Gao. Poly(A) motif prediction using spectral latent features from human DNA sequences. Bioinformatics. (2013). 29(13): i316-i325.
  • M. Maadooliat, X. Gao, and J. Huang. Assessing protein conformational sampling methods based on bivariate lag-distributions of backbone angles. Briefings in Bioinformatics. (2013). 14(6): 724-736.
  • Z. Liu, A. Abbas, B. Jing, and X. Gao. WaVPeak: picking NMR peaks through wavelet transform and volume-based filtering. Bioinformatics (2012), 28(7): 914-920.
  • B. Alipanahi, X. Gao, E. Karakoc, L. Donaldson, A. Gutmanas, C. Arrowsmith, and M. Li. PICKY: a novel SVD-based NMR spectra peak picking method. Bioinformatics. (2009). 25(12): i268-i275.
  • X. Gao, D. Bu, J. Xu, and M. Li. Improving consensus contact prediction via server correlation reduction. BMC Structural Biology, 2009, 9:28.​