Methods in Molecular Biology

Statistical Methods for Microarray Data Analysis

Methods and Protocols

Editors: Yakovlev, Andrei Y., Klebanov, Lev, Gaile, Daniel (Eds.)

  • Aids scientists in continuing to study microarrays and the most current statistical methods
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts
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eBook $109.00
price for USA (gross)
  • ISBN 978-1-60327-337-4
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  • Immediate eBook download after purchase
Hardcover $139.00
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About this book

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.

Reviews

“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)


Table of contents (12 chapters)

  • What Statisticians Should Know About Microarray Gene Expression Technology

    Welle, Stephen

    Pages 1-13

  • Where Statistics and Molecular Microarray Experiments Biology Meet

    Kelmansky, Diana M.

    Pages 15-35

  • Multiple Hypothesis Testing: A Methodological Overview

    Almudevar, Anthony

    Pages 37-55

  • Gene Selection with the δ-Sequence Method

    Qiu, Xing (et al.)

    Pages 57-71

  • Using of Normalizations for Gene Expression Analysis

    Bubelíny, Peter

    Pages 73-83

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-60327-337-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-1-60327-336-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Methods for Microarray Data Analysis
Book Subtitle
Methods and Protocols
Editors
  • Andrei Y. Yakovlev
  • Lev Klebanov
  • Daniel Gaile
Series Title
Methods in Molecular Biology
Series Volume
972
Copyright
2013
Publisher
Humana Press
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-60327-337-4
DOI
10.1007/978-1-60327-337-4
Hardcover ISBN
978-1-60327-336-7
Series ISSN
1064-3745
Edition Number
1
Number of Pages
XI, 212
Topics