Statistical Analysis in Proteomics

<p>Introduction to Proteomics Technologies.- Topics in Study Design and Analysis for Multi-Stage Clinical Proteomics Studies.- Preprocessing and Analysis of LC-MS-Based Proteomic Data.- Normalization of Reverse Phase Protein Microarray Data: Choosing the Best Normalization Analyte.- Outlier Detection for Mass Spectrometric Data.- Visualization and Differential Analysis of Protein Expression Data Using R.- False Discovery Rate Estimation in Proteomics.- A Nonparametric Bayesian Model for Nested Clustering.- Set-Based Test Procedures for the Functional Analysis of Protein Lists from Differential Analysis.- Classification of Samples with Order Restricted Discriminant Rules.- Application of Discriminant Analysis and Cross Validation on Proteomics Data.- Protein Sequence Analysis by Proximities.- Statistical Method for Integrative Platform Analysis: Application to Integration of Proteomic and Microarray Data.- Data Fusion in Metabolomics and Proteomics for Biomarkers Discovery.- Reconstruction of Protein Networks Using Reverse Phase Protein Array Data.- Detection of Unknown Amino Acid Substitutions Using Error-Tolerant Database Search.- Data Analysis Strategies for Protein Modification Identification.- Dissecting the iTRAQ DataAnalysis.- Statistical Aspects in Proteomic Biomarker Discovery.</p>