Schulte, Anja-Carina and Görler, Adrian and Antz, Christof and Neidig, Klaus-Peter and Kalbitzer, Hans Robert (1997) Use of global symmetries in automated signal class recognition by a Bayesian method. JOURNAL OF MAGNETIC RESONANCE, 129 (2). pp. 165-172. ISSN 1090-7807, 1096-0856
Full text not available from this repository.Abstract
Automated or semiautomated pattern recognition in multidimensional NMR spectroscopy is strongly hampered by the large number of noise and artifact peaks occurring under practical conditions. A general Bayesian method which is able to assign probabilities that observed peaks are members of given signal classes (e.g., the class of true resonance peaks or the class of noise and artifact peaks) was proposed previously. The discriminative power of this approach is dependent on the choice of the properties characterizing the peaks, The automated class recognition is improved by the addition of a nonlocal feature, the similarities of peak shapes in symmetry-related positions, It turns out that this additional property strongly decreases the overlap of the multivariate probability distributions for true signals and noise and hence largely increases the discrimination of true resonance peaks from noise and artifacts. (C) 1997 Academic Press.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 2-DIMENSIONAL NMR-SPECTRA; 2D CORRELATED SPECTRA; H-1-NMR SPECTRA; CROSS PEAKS; PROTEINS; SPECTROSCOPY; ENHANCEMENT; IMPROVEMENT; PROGRAM; NOE |
| Subjects: | 500 Science > 530 Physics 500 Science > 570 Life sciences |
| Divisions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Dr. Hans Robert Kalbitzer |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 01 Mar 2023 12:00 |
| Last Modified: | 01 Mar 2023 12:00 |
| URI: | https://pred.uni-regensburg.de/id/eprint/50367 |
Actions (login required)
 |
View Item |
