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An efficient approach for compound identification based on the frequency features of mass spectra

  • Published:2015-03 Issue: Volume:142 Page:117-123
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Sun Zhan-Li,Lam Kin-Man,Zhang Jun

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

2013 Zhan-Li Sun's Technology Foundation for Selected Overseas Chinese Scholars

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference16 articles.

1. Using multivariate curve resolution to improve proteomic mass spectra classification;Chen;Chemom. Intell. Lab. Syst.,2008

2. NIR and mass spectra classification: Bayesian methods for wavelet-based feature selection;Vannucci;Chemom. Intell. Lab. Syst.,2005

3. MI-Pack: increased confidence of metabolite identification in mass spectra by integrating accurate masses and metabolic pathways;Weber;Chemom. Intell. Lab. Syst.,2010

4. Optimization and testing of mass spectral library search algorithms for compound identification;Stein;J. Am. Soc.,1994

5. Analysis of peptide MS/MS spectra from large-scale proteomics experiments using spectrum libraries;Frewen;Anal. Chem.,2006

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