Statistical Methods for Microarray Data Analysis

Methods and Protocols

Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile

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English

Humana Press Inc.
06 February 2013

Probability & statistics; Maths for scientists; DNA & Genome; Molecular biology

Series: Methods in Molecular Biology

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.

Edited by: Andrei Y. Yakovlev, Lev Klebanov, Daniel Gaile
Imprint: Humana Press Inc.
Country of Publication: United States
Edition: 2013 ed.
Volume: 972
Dimensions: Height: 254mm, Width: 178mm, Spine: 18mm
Weight: 5.709kg
ISBN: 9781603273367
ISBN 10: 1603273360
Series: Methods in Molecular Biology
Pages: 212
Publication Date: 06 February 2013
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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)