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Yakovlev (Eds) - Statistical Methods for Microarray Data Analysis: Methods and Protocols - 9781603273367 - V9781603273367
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Statistical Methods for Microarray Data Analysis: Methods and Protocols

€ 128.48
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Description for Statistical Methods for Microarray Data Analysis: Methods and Protocols Hardcover. 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.

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 ... Read more

 

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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Product Details

Format
Hardback
Publication date
2013
Publisher
Humana Press Inc. United States
Number of pages
223
Condition
New
Series
Methods in Molecular Biology
Number of Pages
212
Place of Publication
Totowa, NJ, United States
ISBN
9781603273367
SKU
V9781603273367
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Statistical Methods for Microarray Data Analysis: Methods and Protocols
“This book covers a broad range of topics, from the normalization of expression levels to the evaluation of experimental noise or the identification of putative networks through either multivariate analysis approach or clustering. … It is therefore appropriate for research students and post-docs as well as lecturers looking for handson examples.” (Irina Ioana Mohorianu, zbMATH 1312.92006, 2015)

Goodreads reviews for Statistical Methods for Microarray Data Analysis: Methods and Protocols


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