Statistics and Its Interface

From the Editors

A review of statistical methods for protein identification using tandem mass spectrometry

Protein identification problem from a Bayesian point of view

Spectral library searching for peptide identification in proteomics

Bayesian false discovery rates for post-translational modification proteomics

Permutation methods for testing the significance of phosphorylation motifs

Analyzing LC-MS/MS data by spectral count and ion abundance: two case studies

Generalized linear and mixed models for label-free shotgun proteomics

Protein quantitation using iTRAQ: Review on the sources of variations and analysis of nonrandom missingness

Protein structural model selection based on protein-dependent scoring function

Statistical methods for proteomic biomarker discovery based on feature extraction or functional modeling approaches

Constructing human phenome-interactome networks for the prioritization of candidate genes

Supplemental materials for “Generalized linear and mixed models for label-free shotgun proteomics” by Leitch, Mitra, and Sadygov