A signal filtering method for improved quantification and noise discrimination in fourier transform ion cyclotron resonance mass spectrometry-based metabolomics data-Reference-Cited by-同舟云学术

A signal filtering method for improved quantification and noise discrimination in fourier transform ion cyclotron resonance mass spectrometry-based metabolomics data

Published:2009-06-01 Issue:6 Volume:20 Page:1087-1095
ISSN:1044-0305
Container-title:Journal of the American Society for Mass Spectrometry
language:en
Short-container-title:J. Am. Soc. Mass Spectrom.

Author:

Payne Tristan G.¹,Southam Andrew D.²,Arvanitis Theodoros N.¹,Viant Mark R.²

Affiliation:

1. School of Electronic, Electrical and Computer Engineering, University of Birmingham, Birmingham, United Kingdom

2. School of Biosciences, University of Birmingham, B15 2TT, Birmingham, UK

Publisher

American Chemical Society (ACS)

Subject

Spectroscopy,Structural Biology

Link

https://pubs.acs.org/doi/pdf/10.1016/j.jasms.2009.02.001

Reference39 articles.

1. Use of liquid chromatography/time-of-flight mass spectrometry and multivariate statistical analysis shows promise for the detection of drug metabolites in biological fluids

2. The use of metabolomics for the discovery of new biomarkers of effect

3. Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops

4. Metabonomics in Toxicology: A Review

5. Metabolomics in human nutrition: opportunities and challenges

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