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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George C. Tseng

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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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The web site ntrc.biostat.pitt.edu states the following, "Currently we have particular interests on statistical and computational methods to combine information from multiple high-throughput omics data sets." We noticed that the website said " These include two major directions 1 horizontal meta-analysis." It also said " 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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