A nested mixture model for protein identification using mass spectrometry

DOI10.1214/09-AOAS316zbMath1194.62118arXiv1011.2087OpenAlexW3099467071MaRDI QIDQ993269

Matthew Stephens, Michael J. MacCoss, Qunhua Li

Publication date: 10 September 2010

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1011.2087

zbMATH Keywords

EM algorithmmixture modelproteomicsnested structuremass spectrometrypeptide identificationprotein identification

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40)

Related Items (4)

Bayesian hierarchical model for protein identifications ⋮ A likelihood-based scoring method for peptide identification using mass spectrometry ⋮ Binary Markov random fields and interpretable mass spectra discrimination ⋮ A graphical model method for integrating multiple sources of genome-scale data

Cites Work

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• Theory and mathematical methods in bioinformatics
• Estimating the dimension of a model
• Empirical Bayes Analysis of a Microarray Experiment
• Detecting differential gene expression with a semiparametric hierarchical mixture method

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