A Bayesian Markov-chain-based heteroscedastic regression model for the analysis of 18O-labeled mass spectra.

Abstract

To reduce the influence of the between-spectra variability on the results of peptide quantification, one can consider the (18)O-labeling approach. Ideally, with such labeling technique, a mass shift of 4 Da of the isotopic distributions of peptides from the labeled sample is induced, which allows one to distinguish the two samples and to quantify the… (More)
DOI: 10.1007/s13361-010-0056-x

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Cite this paper

@article{Zhu2011ABM, title={A Bayesian Markov-chain-based heteroscedastic regression model for the analysis of 18O-labeled mass spectra.}, author={Qi Zhu and Tomasz Burzykowski}, journal={Journal of the American Society for Mass Spectrometry}, year={2011}, volume={22 3}, pages={499-507} }