Ting Gong

 Ph.D. Candidate

  Computational Bioinformatics and Bio-imaging Laboratory(CBIL)
  Electrical and Computer Engineering, Virginia Tech

  Address:    4300 Wilson Blvd., Suite 750
                     Arlington, VA 22203
  Phone:       (703)387-6060
  Email:        tinggong@vt.edu

 

 

I am a Doctoral Research Assistant at the Computational Bioinformatics and Bioimaging Laboratory in the Department of ECE at Virginia Tech. My research focuses on signal processing, machine learning and pattern recognition with application to genomic data. I am interested in the development of engineering algorithms and software tools to facilitate the extraction and interpretation of biological information from high throughput data. I am a computer engineering student by training, so I have some experience in applying statistical modeling techniques to the analysis of high-dimensional microarray data and working with researchers/scientists with different scientific background.

 

 

 

  Education

Aug. 2004 - present

Ph.D. Student, Electrical and Computer Engineering, Virginia Tech

 

Sept. 1998 - Mar 2001

M.S., Biomedical Engineering, Southeast University

 

Sept. 1994 - Jul 1998

B.S., Biomedical Engineering, Southeast University

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  Research Interests

Computational Genomics

- Computational dissection of composite molecular signatures and modules (nPICA-THC, nICA/nPICA)

- Gene regulatory network modeling

Pattern Recognition and Machine Learning

- Signal & image processing

- Network & pathway inference

- Data integration

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  Publications

Journal Publications

 

T. Gong, J. Xuan, R. B. Riggins, Y. Wang, E. P. Hoffman, and R. Clarke, "Motif-guided Sparse Decomposition of Gene Expression Data for Regulatory Module Identification." submitted to Bioinformatics, 2009.

R. B. Riggins, J. Lan, J. P-J. Lan, U. Klimach, A. Zwart, L. R. Cavalli, B. R. Haddad, L. Chen, T. Gong, J. Xuan, S. P. Ethier, and R. Clarke, "ERR Mediates Tamoxifen Resistance in Novel Models of Invasive Lobular Breast Cancer." Cancer Research 68(21): 8908-8917, 2008.

T. Gong., J. Xuan, C. Wang, H. Li, E. Hoffman, R. Clarke, Y. Wang, "Gene Module Identification from Microarray Data Using Nonnegative Independent Component Analysis." Gene Regulation and Systems Biology 1: 349-363, 2007.

 

Conference Publications

T. Gong, J. Xuan, R. B. Riggins, and R. Clarke, "A Systems Biology Approach to Identify Affected Regulatory and Signaling Circuits in Protein Interaction Networks."  The International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS'09), Shanghai, China, August 2009.

T. Gong, J. Xuan, R. B. Riggins, and R. Clarke, "A Systems Biology Approach to Identify Affected Regulatory and Signaling Circuits in Protein Interaction Networks."  The International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS'09), Shanghai, China, August 2009.

T. Gong, J. Xuan, L. Chen, R. B. Riggins, Y. Wang, E. P. Hoffman, and R. Clarke, "Sparse Decomposition of Gene Expression Data to Infer Transcriptional Modules Guided by Motif Information," International Symposium on Bioinformatics Research and Applications, Atlanta, Georgia, May, 2008.

C. Wang, J. Xuan, T. Gong, R. Clarke, E. Hoffman, Y. Wang, "Stability Based Dimension Estimation of ICA with Application to Microarray Data Analysis," in Proc. The 2007 Intl Conference on Bioinformatics & Computational Biology, Las Vegas, Nevada, June 2007.

T. Gong, J. Xuan, Y. Zhu, H. Li, R. Clarke, E. P. Hoffman, Y. Wang, "Composite Gene Module Discovery using Non-negative Independent Component Analysis," in IEEE/NLM Workshop Life Science Systems and Applications, Bethesda, Maryland, 2006.

T. Gong., Y. Zhu, J. Xuan, H. Li, R. Clarke, E. P. Hoffman, Y. Wang, "Latent Variable and nICA Modeling of Pathway Gene Module Composite," in Engineering in Medicine and Biology Society, EMBS '06. 28th Annual International Conference of the IEEE, New York, Sep. 2006.

J. Molineaux, J. Xuan, T. Gong, Y. Zhu, E. Hoffman, R. Clarke and Y. Wang, "ModVis: an Information Visualization Tool for Gene Module Discovery," in Proc. 19th Intl Conf. Computer Applications in Industry and Engineering, Las Vegas, Nevada, Nov. 2006.

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  Others

 

 

Last Updated: Sept. 20, 2009