Statistical Analysis of Gene Expression Microarray Data
Language: English
Published by Chapman and Hall/CRC, 2003
Series: Book 7 of 45 - Chapman & Hall/CRC Interdisciplinary Statistics
- First Edition
- Hardcover
- Used
Seller: RiLaoghaire, Knoxville, TN, U.S.A.RiLaoghaire
AbeBooks seller since May 19, 2004
Condition: Used - Good
US$ 2.80
Quantity: 1 available
Add to basketItem description from seller
222 numbered pages; no dustjacket (as issued?); name on first free page; name to edges of closed pages; light wear to corners and edges of cover; medium rub to cover; several minor dings/ minor scratches to cover; weighs 1 pound and 2 ounces; measures 9.4 by 6.3 by .7 inches; 020924; 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.
Seller Inventory # 20687
- Title
- Statistical Analysis of Gene Expression Microarray Data
- Author
- Terry Speed, editor
- Publisher
- Chapman and Hall/CRC
- Publication year
- 2003
- Condition
- Good
- Dust jacket
- No Jacket
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1584883278
- ISBN 13
- 9781584883272
- Edition
- 1st Edition
- Series
- Book 7 of 45: Chapman & Hall/CRC Interdisciplinary Statistics
- Seller catalogs
- Genetics, Science, Statistics
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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About the Author
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