A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in H NMR metabonomic data-2

<p><b>Copyright information:</b></p><p>Taken from "A novel Bayesian approach to quantify clinical variables and to determine their spectroscopic counterparts in H NMR metabonomic data"</p><p>http://www.biomedcentral.com/1471-2105/8/S2/S8</p><p>BMC Bioinformatics 2007;8(Suppl 2):S8-S8.</p><p>Published online 3 May 2007</p><p>PMCID:PMC1892077.</p><p></p>l kernels for the VLDL-TG (), IDL-C (), LDL-C () and HDL-C (). The assignments for the resonances refer to fatty acids in triglycerides, cholesterol compounds and phospholipids in various lipoprotein particles, the cholesterol backbone -C(18)and the -N(C)groups of surface phospholipids. Thus, it should be noted that all the lipoprotein fractions present in serum contribute to all of these resonances. The insets show the choline -N(C)region and the lipid (-C-)region in mode detail. The highest intensity kernel for each lipoprotein fraction was scaled to 1.0. The dotted horizontal line shows the zero level