Improved Random Forest Algorithm to Classify Methicillin-Resistant and Methicillin-Susceptible Staphylococcus Aureus on Mass Spectra-Reference-Cited by-同舟云学术

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Improved Random Forest Algorithm to Classify Methicillin-Resistant and Methicillin-Susceptible Staphylococcus Aureus on Mass Spectra

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Conference on Bioinformatics and Biomedical Technology - ICBBT '17
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Author:

Dai Y. L.¹,Fan Z. C.¹,Zhang L. P.²,Xu X. Y.²,Zhang Z. L.³

Affiliation:

1. College of Computer and Information Science, Southwest University, Chongqing, China

2. The First Affiliated Hospital of Chongqing Medical University, Chongqing, China

3. College of Computer and Information Science, Southwest University, Chongqing, China, School of Information Technology, Dakin University, Geelong, Australia

Publisher

ACM Press

Reference28 articles.

1. Aebersold, R., Mann, M. 2003. Mass spectrometry-based proteomics [J]. Nature, 422(6928): 198--207.

2. Sný, L, Hynek, R., Hochel I. Identification of bacteria using mass spectrometry techniques[J]. International Journal of Mass Spectrometry, 2013, 353(1):67--79.

3. E. N. Ilina, A. D. Borovskaya, M. M. Malakhova,V. A. Vereshchagin, A. A. Kubanova, A. N. Kruglov, T. S. Svistunova, A. O. Gazarian, T. Maier, M. Kostrzewa, V. M. Govorun, J. Mol.Diagn. 11(2009) 75--86.

4. L.G.Stevenson,S.K.Drake,P.R.Murray,J.Clin.Microbiol.48(2010)444--447.

5. tmer K, Aronov P A, Hammock B D. Mass spectrometry-based metabolomics[J]. Mass Spectrometry Reviews, 2007, 26(1):51--78.

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