Markov-chain-based heteroscedastic regression model for the analysis of high-resolution enzymatically 18O-labeled mass spectra

Journal of Proteome Research

Volumn 9, Issue 5, 2010, Pages 2669-2677

  Zhu, Qi ^a   Valkenborg, Dirk ^b   Burzykowski, Tomasz ^a  

^a HASSELT UNIVERSITY   (Belgium)

^b FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

Author keywords

18O labeling; Heteroscedastic regression; Labeling efficiency; MALDI TOF; Markov model; Relative abundance estimation

Indexed keywords

OXYGEN 18;

ARTICLE; ISOTOPE LABELING; MASS SPECTROMETRY; MODEL; PRIORITY JOURNAL; PROBABILITY; REGRESSION ANALYSIS;

AMINO ACID SEQUENCE; ANIMALS; CATTLE; CYTOCHROMES C; ISOTOPE LABELING; LEAST-SQUARES ANALYSIS; MARKOV CHAINS; MASS SPECTROMETRY; MODELS, CHEMICAL; MOLECULAR SEQUENCE DATA; OXYGEN ISOTOPES; PEPTIDE FRAGMENTS; PROTEOMICS;

EID: 77952065779     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr100169a     Document Type: Article

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