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Statistical Methods for Microarray Data Analysis - Methods and Protocols (Hardcover, 2013 ed.): Andrei Y. Yakovlev, Lev... Statistical Methods for Microarray Data Analysis - Methods and Protocols (Hardcover, 2013 ed.)
Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile
R3,816 R3,450 Discovery Miles 34 500 Save R366 (10%) Ships in 12 - 17 working days

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.

Statistical Methods for Microarray Data Analysis - Methods and Protocols (Paperback, Softcover reprint of the original 1st ed.... Statistical Methods for Microarray Data Analysis - Methods and Protocols (Paperback, Softcover reprint of the original 1st ed. 2013)
Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile
R4,239 Discovery Miles 42 390 Ships in 10 - 15 working days

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 (TM) 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.

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