A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in H NMR Metabonomic Applications
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چکیده
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 H NMR metabonomics data set. The results are not only mathematically superior but also biochemically fully
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تاریخ انتشار 2006