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...
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 |
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Format: | Article |
Language: | English |
Published: |
BMC
2007-05-01
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Series: | BMC Bioinformatics |
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