Research Catalog

Title

Analyzing microarray gene expression data / Geoffrey J. McLachlan, Kim-Anh Do, Christopher Ambroise.

Author

McLachlan, Geoffrey J., 1946-

Publication

Hoboken, N.J. : Wiley-Interscience, [2004], ©2004.

Supplementary Content

Publisher description

Items in the Library & Off-site

Holdings

Details

Additional Authors

• Do, Kim-Anh, 1960-
• Ambroise, Christophe, 1969-

Description

xx, 320 pages : illustrations (some color); 24 cm.

Summary

"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 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; and the uses of microarray expression data for providing important prognostic information on the outcome of disease."--BOOK JACKET.

Series Statement

Wiley series in probability and statistics

Uniform Title

Wiley series in probability and statistics.

Subject

• DNA microarrays > Statistical methods
• Gene expression > Statistical methods
• Oligonucleotide Array Sequence Analysis > statistics & numerical data
• Gene Expression

Bibliography (note)

• Includes bibliographical references and index.

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.

ISBN

0471226165 (cloth : alk. paper)

LCCN

2004042239

OCLC

• ocm55149250
• SCSB-5074280

Owning Institutions

Columbia University Libraries