Statistical Methods for Microarray Data Analysis: Methods and Protocols: 972 (Methods in Molecular Biology, 972)
Language: English
Published by Humana, 2013
- Hardcover
- New
Seller: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
AbeBooks seller since October 9, 2009
Condition: New
US$ 182.83
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Add to basketItem description from seller
Argues that the modern state of the art in methodology of microarray data analysis based on significance testing is far from satisfactory. This book includes selected papers on this subject. Editor(s): Yakovlev, Andrei Y.; Klebanov, Lev B.; Gaile, Daniel. Series: Methods in Molecular Biology. Num Pages: 223 pages, 23 black & white tables, biography. BIC Classification: PBT; PDE; PSAK1; PSD. Category: (P) Professional & Vocational. Dimension: 262 x 182 x 18. Weight in Grams: 582. . 2013. 2013th Edition. hardcover. . . . . Books ship from the US and Ireland.
Seller Inventory # V9781603273367
- Title
- Statistical Methods for Microarray Data Analysis: Methods and Protocols: 972 (Methods in Molecular Biology, 972)
- Author
- Yakovlev, Andrei Y.
- Publisher
- Humana
- Publication year
- 2013
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1603273360
- ISBN 13
- 9781603273367
Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically,a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful Methods in Molecular Biology™ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.
Thorough and intuitive, Statistical Methods for Microarray Data Analysis: Methods and Protocols aids scientists in continuing to study microarrays and the most current statistical methods.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically, a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful Methods in Molecular Biology™ series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory.
Thorough and intuitive, Statistical Methods for Microarray Data Analysis: Methods and Protocols aids scientists in continuing to study microarrays and the most current statistical methods.
"About the title" may belong to another edition of this title.
Kennys Bookstore
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