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Meta-analysis and Combining Information in Genetics and Genomics - Guerra, Rudy; Goldstein, Darlene R
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This book provides many novel techniques for analyzing data from modern biological studies that involve multiple data sets, either of the same type or multiple data sources. It addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray gene expression experiments, and solves data combination problems that can arise within the same basic framework. It demonstrates the combined analysis of different data types, showing data combination approaches in action across a wide variety of genome-scale investigations.

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Produktbeschreibung
This book provides many novel techniques for analyzing data from modern biological studies that involve multiple data sets, either of the same type or multiple data sources. It addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray gene expression experiments, and solves data combination problems that can arise within the same basic framework. It demonstrates the combined analysis of different data types, showing data combination approaches in action across a wide variety of genome-scale investigations.
Autorenporträt
Rudy Guerra is a professor of statistics at Rice University. Darlene R. Goldstein is a member of the Chair of Statistics research group in the Institut de Mathématiques at the École Polytechnique Fédérale de Lausanne (EPFL).