Classification of Methicillin-Resistant and Methicillin-Susceptible Staphylococcus Aureus Using an Improved Genetic Algorithm for Feature Selection Based on Mass Spectra-Reference-Cited by-同舟云学术

Classification of Methicillin-Resistant and Methicillin-Susceptible Staphylococcus Aureus Using an Improved Genetic Algorithm for Feature Selection Based 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:

Bai J.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. First Affiliated Hospital, Chongqing Medical University, Chongqing, China

3. School of Information Technology, Dakin University Locked Bag, Geelong, Australia

Publisher

ACM Press

Reference20 articles.

1. Bhanot, G., Alexe, G., Venkataraghavan, B., and Levine, A. J. 2006. A robust meta-classification strategy for cancer detection from MS data. J. Proteomics, 6(2): 592--604. DOI = 10.1002/pmic.200500192.

2. Cotter, R. J. 1992. Time-of-flight mass spectrometry for the structural analysis of biological molecules. Anal. Chem. 64(21): 1027A--1039A. DOI= http://pubs.acs.org/doi/abs/10.1021/ac00045a002.

3. Shan, W., Li, J., Fang, Y., Wang, X., Gu, D., and Zhang, R. 2015. Rapid identification of methicillin-resistant staphylococcus aureus (MRSA) by the vitek MS saramis system. Curr. Microbiol. 72(1): 1--4. DOI= http://dx.doi.org/10.1007/s00284-015-0913-8.

4. Du, Z., Yang, R., Guo, Z., Song, Y., and Wang, J. 2002. Identification of staphylococcus aureus and determination of its methicillin resistance by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Anal. Chem. 74(21): 5487--91. DOI= http://pubs.acs.org/doi/abs/10.1021/ac020109k.

5. Goodacre, R., Rooney, P. J., and Kell, D. B. 1998. Discrimination between methicillin-resistant and methicillin-susceptible Staphylococcus aureus using pyrolysis mass spectrometry and artificial neural networks. J. Antimicro. Chemo. 41(1): 27--34. DOI= https://doi.org/10.1093/jac/41.1.27.

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