Interdependence of signal processing and analysis of urine 1H NMR spectra for metabolic profiling.

ABSTRACT: Metabolic profiling of urine presents challenges because of the extensive random variation of metabolite concentrations and the dilution resulting from changes in the overall urine volume. Thus statistical analysis methods play a particularly important role; however, appropriate choices of these methods are not straightforward. Here we investigate constant and variance-stabilization normalization of raw and peak picked spectra, for use with exploratory analysis (principal component analysis) and confirmatory analysis (ordinary and Empirical Bayes t-test) in (1)H NMR-based metabolic profiling of urine. We compare the performance of these methods using urine samples spiked with known metabolites according to a Latin square design. We find that analysis of peak picked and logarithm-transforme

SUBMITTER: Zhang S 

PROVIDER: S-EPMC2789356 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature