Education
Research Interests
Selected Publications
Contact Information

Education

BS, National Taiwan University, 1997
MS, National Taiwan University, 1999
ScD, Harvard University, 2003

Research Interests

My research interests focus on statistical applications of genomics and bioinformatics. Curretnly we mainly focus on data mining of high-throughput genomic and proteomic data and methods for biomarker detection including supervised (classification) and unsupervised (clustering) machine learning and detection of differentially expressed genes. Related research also include statistical modelling, statistical computing and graphical visualization of data. Collaboration with biology labs plays an important role where most of our projects and methodological ideas come from. (Health Sciences Faculty Research Interests Project)

Selected Publications

George C. Tseng. (2006). Penalized and weighted K-means for clustering with noise objects and prior information in high-throughput biological data. (submitted)

Anbupalam Thalamuthu, Indranil Mukhopadhyay, Xiaojing Zheng and George C. Tseng. (2006) Evaluation and comparison of gene clustering methods in microarray analysis. Bioinformatics. (in publication)

Alejandro Sweet-Cordero, George C. Tseng, Han You, Margaret Douglass, Bing Huey, Todd Golub, Donna Albertson and Tyler Jacks. (2006) Comparison of Gene Expression and Copy Number Changes in a Murine Model of Lung Cancer. Genes, Chromosomes and Cancer. 45:338-348.

Wei Wu, Nilesh Dave, George C. Tseng, Thomas Richards, Eric Xing, Naftali Kaminski. (2005). Comparison of normalization methods for CodeLink Bioarray data. BMC Bioinformatics. 6:309.

George C. Tseng and Wing H. Wong. (2005) Tight Clustering: A Resampling-based Approach for Identifying Stable and Tight Patterns in Data. Biometrics.61:10-16. (elected in August 2006 as Fast Breaking Paper in Mathematics by Essential Science Indicators)

Yingying Huang, Joseph M. Triscari, George C. Tseng, Ljiljana Pasa-Tolic, Mary S. Lipton, Richard D. Smith, Vicki H. Wysocki. (2005) Statistical Characterization of Charge State and Residue Dependence of Low Energy CID Peptide Dissociation Patterns. Analytical Chemistry.
77:5800-5813.

Xiaotong Shen, George C. Tseng, Xuegong Zhang, and Wing H. Wong. (2003) On psi- Learning. Journal of the American Statistical Association.
98:724-734.

Cheng Li, George C. Tseng, and Wing H. Wong (2003) Model-based analysis of oligonucleotide arrays and issues in cDNA microarray analysis. Book chapter in Statistical analysis of gene expression microarray data.
Edited by Terry Speed. CRC Press. 1-34.

George C. Tseng, Min-Kyu Oh, Lars Rohlin, James C. Liao, and Wing Hung Wong. (2001) Issues in cDNA microarray analysis: quality filtering, channel normalization, models of variations and assessment of gene effects. Nucleic Acids Research. 29: 2549- 2557. (announced in 2003 as one of the eight most accessed papers in NAR)

Contact Information

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Susan Grasky, BSIS

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Department of Biostatistics, 130 Desoto Street, 311 Parran Hall,
Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261
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Revised on September 27, 2006