Part 1: A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in 1H NMR Metabonomic Applications
author: Mika Ala-Korpela,
Lappeenranta University of Technology
coauthor: Ville-Petteri Mäkinen, Aalto University
published: Feb. 25, 2007, recorded: June 2006, views: 4753
coauthor: Ville-Petteri Mäkinen, Aalto University
published: Feb. 25, 2007, recorded: June 2006, views: 4753
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Description
Metabonomic approaches based on spectroscopic data are in their infancy in biomedicine. A key challenge in clinical metabonomics is uncovering and understanding the relations between the multidimensional spectroscopic data and the clinical measures currently used for disease risk assessment and diagnostics. A novel Bayesian approach for revealing clinically relevant signals is presented here for a real 1H NMR metabonomics data set. The results are not only mathematically superior but also biochemically fully coherent.
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