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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.
Attention for Chapter 13: Statistical Method for Integrative Platform Analysis: Application to Integration of Proteomic and Microarray Data.
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