DNA Methylation Microarrays - Experimental Design and Statistical Analysis
Language: English
Published by CRC Press, Boca Raton, Florida, 2008
- First Edition
- Hardcover
- Used

Seller: Chequamegon Books, Washburn, WI, U.S.A.Chequamegon Books
AbeBooks seller since February 20, 1999
Condition: Used - Fine
US$ 35.00
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Add to basketItem description from seller
Hardcover, 230 pages, many b/w illustrations. There is a compact plastic disc with digital data at rear inside cover "After introducing basic statistics, the disc describes wet-bench technologies that produce the data for analysis and explains how to preprocess the data to remove systemic artifacts resulting from measurement imperfections". "Explores well-established statistical methods, such as linear and Markov models, clustering, and t, f, and permutation tests.".
Seller Inventory # 135635
- Title
- DNA Methylation Microarrays - Experimental Design and Statistical Analysis
- Author
- Wang, Sun-Chong & Petronis, Arturas
- Publisher
- CRC Press, Boca Raton, Florida
- Publication year
- 2008
- Condition
- fine
- Dust jacket
- no jacket
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1420067273
- ISBN 13
- 9781420067279
- Illustrator
- many b/w illustrations
- Edition
- 1st edition.
- Series
- Book 10 of 155: Chapman & Hall/CRC Biostatistics
Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same underlying principles as gene expression microarrays, many of the analyses in the text also apply to microarray-based gene expression and histone modification (ChIP-on-chip) studies.
After introducing basic statistics, the book describes wet-bench technologies that produce the data for analysis and explains how to preprocess the data to remove systematic artifacts resulting from measurement imperfections. It then explores differential methylation and genomic tiling arrays. Focusing on exploratory data analysis, the next several chapters show how cluster and network analyses can link the functions and roles of unannotated DNA elements with known ones. The book concludes by surveying the open source software (R and Bioconductor), public databases, and other online resources available for microarray research.
Requiring only limited knowledge of statistics and programming, this book helps readers gain a solid understanding of the methodological foundations of DNA microarray analysis.
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Chequamegon Books
Washburn, WI, U.S.A.
AbeBooks seller since February 20, 1999
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