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Other titles in the Wiley Series in Probability and Statistics series:
Analyzing Microarray Gene Expression Data (Wiley Series in Probability and Statistics)by Geoffrey J. Mclachlan
Synopses & Reviews
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. 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:
Book News Annotation:
This review of methodologies for analyzing DNA microarray data is aimed at biostatisticians entering the field of microarray gene expression and biologists conducting statistical analyses of their own experimental data. Using an interdisciplinary approach, McLachlan (statistics, U. of Queensland), Do (biostatistics, U. of Texas) and Ambroise (Universit<'e>, de Technologie de Compi<`e>gne, France) focus on tools and procedures for achieving reliable, reproducible results. They also cover the biology and technology underlying microarray experiments, as well as data cleaning and normalization.
Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)
The analysis of microarray gene expression data is increasingly important to both statistics and science. The methodology to examine the "cleaned data" is an essential aspect of the field. This comprehensive review discusses the methodology needed to analyze data such as microarray gene expression data, with coverage of the cleaning of such data as well.
* Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both
About the Author
GEOFFREY J. McLACHLAN, PhD, is Professor of Statistics at the University of Queensland, Australia, and the author of four very successful statistical texts.
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.
Table of Contents
1. Microarrays in Gene Expression Studies.
2. Cleaning and Normalization.
3. Some Cluster Analysis Methods.
4. Clustering of Tissue Samples.
5. Screening and Clustering of Genes.
6. Discriminant Analysis.
7. Supervised Classification of Tissue Samples.
8. Linking Microarray Data with Survival Analysis.
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