Bayesian independent component analysis recovers pathway signatures from blood metabolomics data

Journal of Proteome Research

Volumn 11, Issue 8, 2012, Pages 4120-4131

  Krumsiek, Jan ^a   Suhre, Karsten ^a,b   Illig, Thomas ^a,c   Adamski, Jerzy ^a,d   Theis, Fabian J ^a,d  

^a INSTITUTE OF EPIDEMIOLOGY   (Germany)

^b WEILL CORNELL MEDICAL COLLEGE   (Qatar)

^c Biobank of the Hanover Medical School   (Germany)

^d TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Bayesian; bioinformatics; blood serum; independent component analysis; metabolomics; population cohorts; systems biology

Indexed keywords

AMINO ACID; HIGH DENSITY LIPOPROTEIN;

AMINO ACID METABOLISM; ARTICLE; BAYES THEOREM; BLOOD SAMPLING; CARBOHYDRATE METABOLISM; ENERGY; HUMAN; INDEPENDENT COMPONENT ANALYSIS; LIPID METABOLISM; LIPOPROTEIN BLOOD LEVEL; METABOLITE; METABOLOME; METABOLOMICS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL;

ALGORITHMS; AMINO ACIDS, BRANCHED-CHAIN; BAYES THEOREM; BLOOD CHEMICAL ANALYSIS; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; HUMANS; LINEAR MODELS; LIPOPROTEINS, HDL; METABOLOMICS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

EID: 84864595849     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr300231n     Document Type: Article

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