A likelihood-based scoring method for peptide identification using mass spectrometry

DOI10.1214/12-AOAS568zbMath1257.62106arXiv1301.2467MaRDI QIDQ1940018

Qunhua Li, Matthew Stephens, Jimmy K. Eng

Publication date: 5 March 2013

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

Full work available at URL: https://arxiv.org/abs/1301.2467

zbMATH Keywords

maximum likelihoodproteomicsgenerative model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Biophysics (92C05)

Related Items (4)

Bayesian hierarchical model for protein identifications ⋮ Likelihood-based bacterial identification approach for bimicrobial mass spectrometry data ⋮ A likelihood-based scoring method for peptide identification using mass spectrometry ⋮ Binary Markov random fields and interpretable mass spectra discrimination

Cites Work

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• Spectral library searching for peptide identification in proteomics
• Theory and mathematical methods in bioinformatics
• A nested mixture model for protein identification using mass spectrometry
• A likelihood-based scoring method for peptide identification using mass spectrometry

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