Meta-analysis and Combining Information in Genetics and Genomics

Author:   Rudy Guerra ,  Darlene R. Goldstein ,  Darlene R. Goldstein (EPFL SB IMA STAT, Switzerland) ,  Niels Keiding (University of Copenhagen, Denmark)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138116115


Pages:   360
Publication Date:   14 June 2017
Format:   Paperback
Availability:   In Print   Availability explained
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Meta-analysis and Combining Information in Genetics and Genomics


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Author:   Rudy Guerra ,  Darlene R. Goldstein ,  Darlene R. Goldstein (EPFL SB IMA STAT, Switzerland) ,  Niels Keiding (University of Copenhagen, Denmark)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138116115


ISBN 10:   1138116114
Pages:   360
Publication Date:   14 June 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

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

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


Author Information

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).

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