Analyzing Microarray Gene Expression Data: 422 (Wiley Series in Probability and Statistics)
Language: English
Published by Wiley-Interscience, 2004
Series: Book 191 of 358 - Wiley Series in Probability and Statistics
- First Edition
- Hardcover
- New
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
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Condition: New
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Add to basketItem description from seller
A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Series: Wiley Series in Probability and Statistics. Num Pages: 352 pages, Illustrations (some col.). BIC Classification: PB; PSAK1; PSB. Category: (P) Professional & Vocational. Dimension: 245 x 168 x 27. Weight in Grams: 746. . 2004. 1st Edition. hardcover. . . . .
Seller Inventory # V9780471226161
- Title
- Analyzing Microarray Gene Expression Data: 422 (Wiley Series in Probability and Statistics)
- Author
- McLachlan, Geoffrey J.
- Publisher
- Wiley-Interscience
- Publication year
- 2004
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471226165
- ISBN 13
- 9780471226161
- Edition
- 1st Edition
- Series
- Book 191 of 358: Wiley Series in Probability and Statistics
Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date.
Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including:
- An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissues
- Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies
- A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples
- The latest data cleaning and normalization procedures
- The uses of microarray expression data for providing important prognostic information on the outcome of disease
"Synopsis" may belong to another edition of this title.
About the Author
KIM-ANH DO, PhD, is Professor of Biostatistics at the University of Texas MD Anderson Cancer Center in Houston, Texas.
CHRISTOPHE AMBROISE, PhD, is Lecturer at the Université de Technologie de Compiègne in France.
"About the title" may belong to another edition of this title.
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