A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in <sup>1</sup>H NMR metabonomic data

<p>Abstract</p> <p>Background</p> <p>A key challenge in metabonomics is to uncover quantitative associations between multidimensional spectroscopic data and biochemical measures used for disease risk assessment and diagnostics. Here we focus on clinically relevant estim...

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Main Authors: Kaski Kimmo, Hannuksela Minna L, Savolainen Markku J, Mäkelä Sanna M, Ingman Petri, Soininen Pasi, Mäkinen Ville-Petteri, Vehtari Aki, Ala-Korpela Mika
Format: Article
Language:English
Published: BMC 2007-05-01
Series:BMC Bioinformatics