Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11035

Title: Markov-Chain-Based Heteroscedastic Regression Model for the Analysis of High-Resolution Enzymatically O-18-Labeled Mass Spectra
Authors: ZHU, Qi
Valkenborg, Dirk
Issue Date: 2010
Citation: JOURNAL OF PROTEOME RESEARCH, 9(5). p. 2669-2677
Abstract: The enzymatic O-18-labeling is a useful technique for reducing the influence of the between-spectrum variability on the results of mass-spectrometry experiments. A limitation of the technique is the possibility of an incomplete labeling, which may result in biased estimates of the relative peptide abundance. We propose a Markov-chain-based regression model with heterogeneous residual variance, which corrects for the possible bias. Our method does not require extra experimental steps, as proposed in the approaches proposed previously in the literature. On the other hand, it includes some of the alternative approaches as a special case. Moreover, our modeling approach offers additional advantages over the previously developed methods, including the possibility of the analysis of multiple technical replicates for samples from different biological conditions, with an assessment of the between-spectra and biological variability.
Notes: [Zhu, Qi; Burzykowski, Tomasz] Hasselt Univ, I BioStat, Diepenbeek, Belgium. [Valkenborg, Dirk] Vlaamse Instelling Technol Onderzoek, B-2400 Mol, Belgium.
URI: http://hdl.handle.net/1942/11035
DOI: 10.1021/pr100169a
ISI #: 000277353200055
ISSN: 1535-3893
Category: A1
Type: Journal Contribution
Validation: ecoom, 2011
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
N/A635.16 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.