Statistical Analysis of Gene Expression Microarray Data (Interdisciplinary Statistics Series)

Speed, T (ed)

ISBN 10: 1584883278 / ISBN 13: 9781584883272

Published by Chapman And Hall/CRC, 2003

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9781584883272.

Seller Inventory # 7078514

Bibliographic Details

• Title: Statistical Analysis of Gene Expression Microarray Data (Interdisciplinary Statistics Series)
• Publisher: Chapman And Hall/CRC
• Publication Date: 2003
• Language: English
• ISBN 10: 1584883278
• ISBN 13: 9781584883272
• Binding: Hardcover
• Condition: Fair
• Weight: 600 grams
• Seller catalogs:
  • Biology

About this title

Synopsis

Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies. And there is arguably no group better qualified to do so than the authors of this book.

Statistical Analysis of Gene Expression Microarray Data promises to become the definitive basic reference in the field. Under the editorship of Terry Speed, some of the world's most pre-eminent authorities have joined forces to present the tools, features, and problems associated with the analysis of genetic microarray data. These include::

Model-based analysis of oligonucleotide arrays, including expression index computation, outlier detection, and standard error applications

Design and analysis of comparative experiments involving microarrays, with focus on \ two-color cDNA or long oligonucleotide arrays on glass slides

Classification issues, including the statistical foundations of classification and an overview of different classifiers

Clustering, partitioning, and hierarchical methods of analysis, including techniques related to principal components and singular value decomposition

Although the technologies used in large-scale, high throughput assays will continue to evolve, statistical analysis will remain a cornerstone of their success and future development. Statistical Analysis of Gene Expression Microarray Data will help you meet the challenges of large, complex datasets and contribute to new methodological and computational advances.

About the Author

Terry Speed