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Briefings in Bioinformatics Advance Access originally published online on July 18, 2007
Briefings in Bioinformatics 2007 8(5):376-377; doi:10.1093/bib/bbm022
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© The Author 2007. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Book reviews

Bayesian Inference for Gene Expression and Proteomics.

Bayesian Inference for Gene Expression and Proteomics.
Edited by Kim-Anh Do, Peter Müller and Marina Vannucci
Cambridge University Press, Cambridge; 2006; ISBN: 978-0521860925; Hardback; 456 pp.

The first 10% of the full text of this article appears below.

A text that has a systematic account of Bayesian analysis in computational biology has been needed for a long time. This book is a timely publication entirely devoted to cutting-edge Bayesian methods in genomics and proteomics research and many of its contributors are leading authorities in the field. It is thus an indispensable reference for researchers who are interested in applying Bayesian techniques in their own biological research. Moreover, the book calls for more methodological and theoretical research to . . . [Full Text of this Article]

Ping Ma
Department of Statistics and
Institute for Genomic Biology
University of Illinois at Urbana-Champaign, USA


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