Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data - Kim-anh Do - Books - Cambridge University Press - 9781107027527 - June 10, 2013
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Advances in Statistical Bioinformatics: Models and Integrative Inference for High-Throughput Data

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Within the context of genomic medicine and with a strong focus on cancer research, this book describes the integration of high-throughput bioinformatics data from multiple platforms to inform our understanding of the functional consequences of genomic alterations. This material is written for statisticians who are interested in modeling and analyzing high-throughput data.


511 pages, 120 b/w illus. 17 colour illus. 20 tables

Media Books     Hardcover Book   (Book with hard spine and cover)
Released June 10, 2013
ISBN13 9781107027527
Publishers Cambridge University Press
Genre Aspects (Academic) > Medical / Medicine Aspects
Pages 514
Dimensions 155 × 233 × 32 mm   ·   882 g
Language English  
Editor Do, Kim-Anh
Editor Qin, Zhaohui Steve (Emory University, Atlanta)
Editor Vannucci, Marina (Rice University, Houston)

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