Editors:
- 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
Part of the book series: Methods in Molecular Biology (MIMB, volume 1362)
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Table of contents (19 protocols)
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Front Matter
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Proteomics, Study Design, and Data Processing
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Front Matter
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Group Comparisons
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Front Matter
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Special Topics
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Front Matter
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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.
Editors and Affiliations
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Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
Klaus Jung
Bibliographic Information
Book Title: Statistical Analysis in Proteomics
Editors: Klaus Jung
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-4939-3106-4
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media New York 2016
Hardcover ISBN: 978-1-4939-3105-7Published: 10 November 2015
Softcover ISBN: 978-1-4939-7987-5Published: 27 March 2019
eBook ISBN: 978-1-4939-3106-4Published: 30 October 2015
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: X, 313
Number of Illustrations: 27 b/w illustrations, 58 illustrations in colour
Topics: Protein Science