Analyzing Microarray Gene Expression Data

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John Wiley & Sons, Feb 18, 2005 - Mathematics - 368 pages
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A multi-discipline, hands-on guide to microarray analysis ofbiological processes

Analyzing Microarray Gene Expression Data provides acomprehensive review of available methodologies for the analysis ofdata derived from the latest DNA microarray technologies. Designedfor biostatisticians entering the field of microarray analysis aswell as biologists seeking to more effectively analyze their ownexperimental data, the text features a unique interdisciplinaryapproach and a combined academic and practical perspective thatoffers readers the most complete and applied coverage of thesubject matter to date.

Following a basic overview of the biological and technicalprinciples behind microarray experimentation, the text provides alook at some of the most effective tools and procedures forachieving optimum reliability and reproducibility of researchresults, including:

  • An in-depth account of the detection of genes that aredifferentially expressed across a number of classes of tissues
  • Extensive coverage of both cluster analysis and discriminantanalysis of microarray data and the growing applications of bothmethodologies
  • A model-based approach to cluster analysis, with emphasis onthe use of the EMMIX-GENE procedure for the clustering of tissuesamples
  • The latest data cleaning and normalization procedures
  • The uses of microarray expression data for providing importantprognostic information on the outcome of disease
 

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Contents

1 Microarrays in Gene Expression Studies
1
2 Cleaning and Normalization
31
3 Some Cluster Analysis Methods
61
4 Clustering of Tissue Samples
99
5 Screening and Clustering of Genes
133
6 Discriminant Analysis
185
7 Supervised Classification of Tissue Samples
221
8 Linking Microarray Data with Survival Analysis
253
References
267
Author Index
297
Subject Index
313
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About the author (2005)

GEOFFREY J. McLACHLAN, PhD, is Professor of Statistics at theUniversity of Queensland, Australia, and the author of four verysuccessful statistical texts.

KIM-ANH DO, PhD, is Professor of Biostatistics at the Universityof Texas MD Anderson Cancer Center in Houston, Texas.

CHRISTOPHE AMBROISE, PhD, is Lecturer at the Université deTechnologie de Compiègne in France.

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