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Methods in Molecular Biology

Statistical Analysis in Proteomics

Editors: Jung, Klaus (Ed.)

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  • Includes cutting-edge methods for the study of the statistical analysis of proteomics
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts
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eBook $89.00
price for USA in USD (gross)
  • ISBN 978-1-4939-3106-4
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Hardcover $169.99
price for USA in USD
  • ISBN 978-1-4939-3105-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA in USD
  • ISBN 978-1-4939-7987-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This valuable collection aims to provide a collection of frequently used statistical methods in the field of proteomics. Although there is a large overlap between statistical methods for the different ‘omics’ fields, methods for analyzing data from proteomics experiments need their own specific adaptations. To satisfy that need, Statistical Analysis in Proteomics focuses on the planning of proteomics experiments, the preprocessing and analysis of the data, the integration of proteomics data with other high-throughput data, as well as some special topics. Written for the highly successful Methods in Molecular Biology series, the chapters contain the kind of detail and expert implementation advice that makes for a smooth transition to the laboratory.

Practical and authoritative, Statistical Analysis in Proteomics serves as an ideal reference for statisticians involved in the planning and analysis of proteomics experiments, beginners as well as advanced researchers, and also for biologists, biochemists, and medical researchers who want to learn more about the statistical opportunities in the analysis of proteomics data.

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Introduction to Proteomics Technologies

    Pages 3-27

    Lenz, Christof (et al.)

  • Topics in Study Design and Analysis for Multistage Clinical Proteomics Studies

    Pages 29-61

    Zeng, Irene Sui Lan, Ph.D.

  • Preprocessing and Analysis of LC-MS-Based Proteomic Data

    Pages 63-76

    Tsai, Tsung-Heng (et al.)

  • Normalization of Reverse Phase Protein Microarray Data: Choosing the Best Normalization Analyte

    Pages 77-89

    Chiechi, Antonella

  • Outlier Detection for Mass Spectrometric Data

    Pages 91-102

    Cho, HyungJun, Ph.D. (et al.)

Buy this book

eBook $89.00
price for USA in USD (gross)
  • ISBN 978-1-4939-3106-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-1-4939-3105-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $119.00
price for USA in USD
  • ISBN 978-1-4939-7987-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Analysis in Proteomics
Editors
  • Klaus Jung
Series Title
Methods in Molecular Biology
Series Volume
1362
Copyright
2016
Publisher
Humana Press
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4939-3106-4
DOI
10.1007/978-1-4939-3106-4
Hardcover ISBN
978-1-4939-3105-7
Softcover ISBN
978-1-4939-7987-5
Series ISSN
1064-3745
Edition Number
1
Number of Pages
X, 313
Number of Illustrations
27 b/w illustrations, 58 illustrations in colour
Topics