Bookedited by Klaus Jung.
Contents:
Introduction to proteomics technologies / Christof Lenz and Hassan Dihazi
Topics in study design and analysis for multistage clinical proteomics studies / Irene Sui Lan Zeng
Preprocessing and analysis of LC-MS-based proteomic data / Tsung-Heng Tsai, Minkun Wang, and Habtom W. Ressom
Normalization of reverse phase protein microarray data : choosing the best normalization analyte / Antonella Chiechi
Outlier detection for mass spectrometric data / HyungJun Cho and Soo-Heang Eo
Visualization and differential analysis of protein expression data using R / Tomé S. Silva and Nadège Richard
False discovery rate estimation in proteomics / Suruchi Aggarwal and Amit Kumar Yadav
Nonparametric bayesian model for nested clustering / Juhee Lee ... [etal.]
Set-based test procedures for the functional analysis of protein lists from differential analysis / Jochen Kruppa and Klaus Jung
Classification of samples with order-restricted discriminant rules / David Conde ... [et al.]
Application of discriminant analysis and cross-validation on proteomics data / Julia Kuligowski, David Pérez-Guaita, and Guillermo Quintás
Protein sequence analysis by proximities / Frank-Michael Schleif
Statistical method for integrative platform analysis : application to integration of proteomic and microarray data / Xin Gao
Data fusion in metabolomics and proteomics for biomarker discovery / Lionel Blanchet and Agnieszka Smolinska
Reconstruction of protein networks using reverse-phase protein array data / Silvia von der Heyde ... [et al.]
Detection of unknown amino acid Substitutions using error-tolerant database search / Sven H. Giese, Franziska Zickmann, and Bernhard Y. Renard
Data analysis strategies for protein modification identification / Yan Fu
Dissecting the iTRAQ data analysis / Suruchi Aggarwal and Amit Kumar Yadav
Statistical aspects in proteomic biomarker discovery / Klaus Jung.