Meta-analysis and Combining Information in Genetics and Genomics

by Rudy Guerra, Darlene R. Goldstein

Overview

Novel Techniques for Analyzing and Combining Data from Modern Biological StudiesBroadens the Traditional Definition of Meta-AnalysisWith the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative infor

Product Details

ISBN-13:	9781040067772
Publisher:	CRC Press
Publication date:	04/19/2016
Series:	Chapman & Hall/CRC Computational Biology Series
Sold by:	Barnes & Noble
Format:	eBook
Pages:	360
File size:	5 MB

About the Author

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 ecole Polytechnique Federale de Lausanne (EPFL).

Table of Contents

Introductory Material. Similar Data Types I: Genotype Data. Similar Data Types II: Gene Expression Data. Combining Different Data Types. References. Index.

What People are Saying About This

From the Publisher

For someone who is interested in either metaanalysis or genomics, this book provides a great overview of both. … Guerra and Goldstein have done a wonderful job in introducing the material and in organizing the collection coherently. … the material is very accessible to readers of Biometrics … this book is well worth having as a reference book for those interested in metaanalysis and/or genomics. … Guerra and Goldstein have done an admirable job putting the collection together.
—Peter H. Westfall, Biometrics, December 2011

There is a particularly good chapter comparing different methods for analysing two similar microarray studies… The book would be suitable for someone who is new to the analysis of high dimensional genomic data.
—S.E. Lazic and F. Hoffmann-La Roche, Journal of the Royal Statistical Society: Series A, Vol. 174, October 2011

… 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

Editorial Reviews

For someone who is interested in either metaanalysis or genomics, this book provides a great overview of both. … Guerra and Goldstein have done a wonderful job in introducing the material and in organizing the collection coherently. … the material is very accessible to readers of Biometrics … this book is well worth having as a reference book for those interested in metaanalysis and/or genomics. … Guerra and Goldstein have done an admirable job putting the collection together.
—Peter H. Westfall, Biometrics, December 2011

There is a particularly good chapter comparing different methods for analysing two similar microarray studies… The book would be suitable for someone who is new to the analysis of high dimensional genomic data.
—S.E. Lazic and F. Hoffmann-La Roche, Journal of the Royal Statistical Society: Series A, Vol. 174, October 2011

… 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

From the Publisher