Work

Kernel-PCA denoising of artifact-free protein NMR spectra

Year: 2005

Type: conference-paper

Abstract: Multidimensional /sup 1/H NMR spectra of biomolecules dissolved in light water are contaminated by an intense water artifact. Generalized eigenvalue decomposition methods using congruent matrix pencils are used to separate the water artefact from the protein spectra. Due to the statistical separation process, however, noise is introduced into the reconstructed spectra. Hence Kernel-based denoising techniques are discussed to obtain noise- and artifact-free 2D NOESY NMR spectra of proteins.

Source: International Joint Conference on Neural Networks (IJCNN)

DOI: 10.1109/ijcnn.2004.1380913

Authors: K. Stadlthanner, E.W. Lang, P. Gruber, F.J. Theis, A.M. Tome, A.R. Teixeira, C.G. Puntonet

Institutions: University of Regensburg, University of Aveiro, Universidad de Granada

Language: English

Topic: Advanced NMR Techniques and Applications

Subfield: Spectroscopy

Field: Chemistry

Domain: Physical Sciences

Open Access status: green

Funder: Bundesministerium für Bildung und Forschung

OpenAlex ID: W2171084141

FWCI: 4.09

Cites: 18

Cited by: 2

Related to: 10