Performance Evaluation of Algorithms for the Classification of Metabolic 1H NMR Fingerprints-Reference-Cited by-同舟云学术

Performance Evaluation of Algorithms for the Classification of Metabolic 1H NMR Fingerprints

Published:2012-11-12 Issue:12 Volume:11 Page:6242-6251
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Hochrein Jochen¹,Klein Matthias S.¹,Zacharias Helena U.¹,Li Juan²,Wijffels Gene²,Schirra Horst Joachim³,Spang Rainer¹,Oefner Peter J.¹,Gronwald Wolfram¹

Affiliation:

1. Institute of Functional Genomics, University of Regensburg, Josef-Engert-Strasse 9, 93053 Regensburg, Germany

2. CSIRO Livestock Industries, Queensland Bioscience Precinct, 306 Carmody Rd., St. Lucia, QLD 4067, Australia

3. Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD 4072, Australia

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/pr3009034

Reference44 articles.

1. Detection of autosomal dominant polycystic kidney disease by NMR spectroscopic fingerprinting of urine

2. 750 MHz 1H NMR spectroscopy characterisation of the complex metabolic pattern of urine from patients with inborn errors of metabolism: 2-hydroxyglutaric aciduria and maple syrup urine disease

3. State-of-the art data normalization methods improve NMR-based metabolomic analysis

4. Computational Approaches to Metabolomics

5. Partial least squares for discrimination

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