A Bayesian approach to peptide identification using accurate mass and time tags from LC-FTICR-MS proteomics experiments

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 3775-3778

  Yanofsky, Corey M ^a   Kearney, Robert E ^a   Lesimple, Souad ^a   Bergeron, John J M ^a   Boismenu, Daniel ^a   Carrillo, Brian ^a   Bell, Alexander W ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; FORECASTING; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; MOLECULAR BIOLOGY; PROBABILITY DISTRIBUTIONS;

BAYESIAN APPROACHES; BAYESIAN STATISTICAL MODEL; CHROMATOGRAPHIC RETENTION; DATA DISTRIBUTION; PEPTIDE IDENTIFICATION; PROBABILITY ESTIMATE; RETENTION TIME PREDICTION; REVERSED PHASE LIQUID-CHROMATOGRAPHY;

PEPTIDES;

PEPTIDE; TRYPSIN;

ALGORITHM; ARTICLE; BAYES THEOREM; CHEMISTRY; HUMAN; INFORMATION PROCESSING; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; METHODOLOGY; MONTE CARLO METHOD; PROBABILITY; PROTEOMICS; REPRODUCIBILITY; TIME;

ALGORITHMS; AUTOMATIC DATA PROCESSING; BAYES THEOREM; CHROMATOGRAPHY, LIQUID; HUMANS; MASS SPECTROMETRY; MONTE CARLO METHOD; PEPTIDES; PROBABILITY; PROTEOMICS; REPRODUCIBILITY OF RESULTS; TIME FACTORS; TRYPSIN;

EID: 61849111256     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650030     Document Type: Conference Paper

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