With contributions from leading experts, Meta-Analysis and Combining Information in Genetics provides theory, methods, and guiding principles for meta-analysis and combining information for various types of genetic studies. The book begins with an introduction to meta-analysis and combining information as well as statistical genetics, bioinformatics, and proteomics. Addressing the complications inherent in comparing and replicating genetic studies, the contributors carefully examine microarrays, gene mapping, and proteomics. They detail the various techniques used to analyze and combine data from different types of studies. This is the first book devoted to meta-analysis in genetics.
! the book will be most useful for students and researchers who wish to see what developments are currently in progress in this important area. That said, there is a wealth of material here for the non-expert wishing to move into the area. And, unlike some edited tomes in past ages, the articles here have clearly been carefully meshed to give a coherent picture. --International Statistical Review (2011), 79, 1
Introduction. Microarrays. Gene Mapping. Combining Different Types of Data. Proteomics.
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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 Mathematiques at the Aecole Polytechnique Federale de Lausanne (EPFL).
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