tsenglab.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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The web site tsenglab.biostat.pitt.edu currently has a traffic ranking of zero (the smaller the superior). We have examined nine pages inside the site tsenglab.biostat.pitt.edu and found three websites referring to tsenglab.biostat.pitt.edu.
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George C. Tseng

DESCRIPTION

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.

PARSED CONTENT

The web site tsenglab.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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