ntrc.biostat.pitt.edu

George C. Tseng

Currently we have particular interests on statistical and computational methods to combine information from multiple high-throughput omics data sets. These include two major directions: (1) horizontal meta-analysis. That combines multiple same-type genomic data (usually microarray, GWAS or eQTL) to increase statistical power, accuracy and validated conclusion (2) vertical integrative analysis. Our current and past research interests:. Statistical meta-analysis for combining multiple transcriptomic studies.

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Currently we have particular interests on statistical and computational methods to combine information from multiple high-throughput omics data sets. These include two major directions: (1) horizontal meta-analysis. That combines multiple same-type genomic data (usually microarray, GWAS or eQTL) to increase statistical power, accuracy and validated conclusion (2) vertical integrative analysis. Our current and past research interests:. Statistical meta-analysis for combining multiple transcriptomic studies.

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1 publications

2 software

3 presentatioins

4 people

5 group meetings

6 prospective students

7 genomics curriculum

8 computing resources

9 research interests

10 genomic meta analysis

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George C. Tseng | ntrc.biostat.pitt.edu Reviews

https://ntrc.biostat.pitt.edu

Currently we have particular interests on statistical and computational methods to combine information from multiple high-throughput omics data sets. These include two major directions: (1) horizontal meta-analysis. That combines multiple same-type genomic data (usually microarray, GWAS or eQTL) to increase statistical power, accuracy and validated conclusion (2) vertical integrative analysis. Our current and past research interests:. Statistical meta-analysis for combining multiple transcriptomic studies.

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ntrc.biostat.pitt.edu

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People

http://ntrc.biostat.pitt.edu/people.htm

George C. Tseng. Professor in Depts of Biostatistics, Human Genetics and Computational Biology). Team members: (alphabetic order). Cahill, Kelly Marie. PhD student in Biostatistics; Sep 2016-now). Fang, Zhou (Ark). PhD student in Biostatistics, joint with Wei Chen; Sep 2014-now). Huo, Zhiguang (Caleb). PhD student in Biostatistics; Dec 2011-now; 2016 Student of the Year, ASA Pittsburgh Chapter). Lin, Chien-Wei (Masaki). Liu, Shuchang (Silvia). PhD student in Biostatistics; June 2016-now). PhD in Biostati...

2

George C. Tseng

http://ntrc.biostat.pitt.edu/groupmeeting.htm

Shiny tutorial and MetaOmics coding structure Download (Protected file for internal use). Bayesian hierarchical model for multi-level overlapping group structure (MOG) Download (Protected file for internal use). Bayesian Framework for Integrative Omics Analysis with Missing Covariates Data Download (Protected file for internal use). Bayesian latent variable model for integrating microarray and RNA-seq transcriptomic data Download (Protected file for internal use). Biomarker categorization and fast comput...

3

George C. Tseng

http://ntrc.biostat.pitt.edu/index.htm

Currently we have particular interests on statistical and computational methods to combine information from multiple high-throughput omics data sets. These include two major directions: (1) horizontal meta-analysis. That combines multiple same-type genomic data (usually microarray, GWAS or eQTL) to increase statistical power, accuracy and validated conclusion (2) vertical integrative analysis. Our current and past research interests:. Statistical meta-analysis for combining multiple transcriptomic studies.

4

George C. Tseng

http://ntrc.biostat.pitt.edu/curriculum.htm

Provides another degree program for solid computational biology training. Before any formal curriculum can be formed in the Department of Biostatistics. Below is a list of courses from various departments that I encourage my students to consider. PITT/CMU genetics and computational biology courses:. Introductory high-throughput genomic data analysis I: data mining and applications (BIOST 2055). Introductory high-throughput genomic data analysis II: theories and algorithms (BIOST 2078).

5

George C. Tseng

http://ntrc.biostat.pitt.edu/perspectiveStudents.htm

Below information is for incoming or existing biostatistics students interested in doing PhD thesis in genomic research in our group. Perspective students not yet admitted to the department. Existing students in Biostatistics. We occasionally recruit high-performing existing students for GSR when funding allows. For interested students, it is recommended to take the genomic data analysis course sequence we offer every spring and fall. Career for Biostatistics PhD students with genomic research training:.

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ntrc.biostat.pitt.edu

George C. Tseng

Currently we have particular interests on statistical and computational methods to combine information from multiple high-throughput omics data sets. These include two major directions: (1) horizontal meta-analysis. That combines multiple same-type genomic data (usually microarray, GWAS or eQTL) to increase statistical power, accuracy and validated conclusion (2) vertical integrative analysis. Our current and past research interests:. Statistical meta-analysis for combining multiple transcriptomic studies.

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