Statistical Analysis in Proteomics - Jung, Klaus; SpringerLink (Online service) (New York, NY : Springer New York : Imprint: Humana, 2016)
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 Data Analysis -- Statistical Aspects in Proteomic Biomarker Discovery.
Keywords: Proteins .; Protein Science