An empirical Bayes model using a competition score for metabolite identification in gas chromatography mass spectrometry

BMC Bioinformatics

Volumn 12, Issue , 2011, Pages

  Jeong, Jaesik ^a   Shi, Xue ^b   Zhang, Xiang ^b   Kim, Seongho ^b   Shen, Changyu ^a  

^a INDIANA UNIVERSITY   (United States)

^b UNIVERSITY OF LOUISVILLE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMARKER IDENTIFICATION; COMPREHENSIVE TWO-DIMENSIONAL GAS CHROMATOGRAPHY-TIME OF FLIGHT MASS SPECTROMETRIES; EMPIRICAL BAYES MODELS; FALSE DISCOVERY RATE; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; IDENTIFICATION ACCURACY; METABOLITE IDENTIFICATION; TECHNOLOGICAL DEVELOPMENT;

GAS CHROMATOGRAPHY; HIERARCHICAL SYSTEMS; MASS SPECTROMETRY; METABOLITES; MIXTURES; RAT CONTROL;

BIOMOLECULES;

RATTUS;

FATTY ACID;

ANIMAL; ARTICLE; BAYES THEOREM; CHEMISTRY; MASS FRAGMENTOGRAPHY; METHODOLOGY; PLASMA; RAT;

ANIMALS; BAYES THEOREM; FATTY ACIDS; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; PLASMA; RATS;

EID: 80053600914     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-12-392     Document Type: Article

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