Statistical Analysis of Gene Expression Microarray Data
Language: English
Published by Chapman & Hall, 2003
Series: Book 7 of 45 - Chapman & Hall/CRC Interdisciplinary Statistics
- Hardcover
- Used
Seller: Anybook.com, Lincoln, United KingdomAnybook.com
AbeBooks seller since December 22, 1999
Condition: Used - Good
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This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. 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 # 8676405
- Title
- Statistical Analysis of Gene Expression Microarray Data
- Author
- Speed, T. (ed)
- Publisher
- Chapman & Hall
- Publication year
- 2003
- Condition
- Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1584883278
- ISBN 13
- 9781584883272
- Item weight
- 600 grams
- Series
- Book 7 of 45: Chapman & Hall/CRC Interdisciplinary Statistics
- Seller catalogs
- Medicine
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::
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.
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Anybook.com
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