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Statistical Analysis in Proteomics

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Cover of 'Statistical Analysis in Proteomics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Proteomics Technologies.
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    Chapter 2 Topics in Study Design and Analysis for Multistage Clinical Proteomics Studies
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    Chapter 3 Preprocessing and Analysis of LC-MS-Based Proteomic Data.
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    Chapter 4 Statistical Analysis in Proteomics
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    Chapter 5 Phenylimidazole-based homoleptic iridium(III) compounds for blue phosphorescent organic light-emitting diodes with high efficiency and long lifetime
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    Chapter 6 Visualization and Differential Analysis of Protein Expression Data Using R.
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    Chapter 7 False Discovery Rate Estimation in Proteomics.
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    Chapter 8 A Nonparametric Bayesian Model for Nested Clustering
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    Chapter 9 Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential Analysis.
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    Chapter 10 Classification of Samples with Order-Restricted Discriminant Rules.
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    Chapter 11 Application of Discriminant Analysis and Cross-Validation on Proteomics Data.
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    Chapter 12 Protein Sequence Analysis by Proximities
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    Chapter 13 Statistical Method for Integrative Platform Analysis: Application to Integration of Proteomic and Microarray Data.
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    Chapter 14 Data Fusion in Metabolomics and Proteomics for Biomarker Discovery.
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    Chapter 15 Reconstruction of Protein Networks Using Reverse-Phase Protein Array Data
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    Chapter 16 Detection of Unknown Amino Acid Substitutions Using Error-Tolerant Database Search
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    Chapter 17 Data Analysis Strategies for Protein Modification Identification.
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    Chapter 18 Dissecting the iTRAQ Data Analysis.
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    Chapter 19 Statistical Aspects in Proteomic Biomarker Discovery.
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Title
Statistical Analysis in Proteomics
Published by
Springer New York, October 2015
DOI 10.1007/978-1-4939-3106-4
ISBNs
978-1-4939-3105-7, 978-1-4939-3106-4
Editors

Jung, Klaus

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The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Denmark 1 <1%
South Africa 1 <1%
Unknown 153 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 24%
Researcher 30 19%
Student > Master 22 14%
Student > Doctoral Student 13 8%
Other 13 8%
Other 22 14%
Unknown 19 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 28%
Biochemistry, Genetics and Molecular Biology 43 27%
Chemistry 12 8%
Immunology and Microbiology 6 4%
Engineering 6 4%
Other 22 14%
Unknown 24 15%