Part 2: A Novel Bayesian Approach for Uncovering Potential Spectroscopic Counterparts for Clinical Variables in 1H NMR Metabonomic Applications
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
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.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !