參考文獻 |
[1] M. Wolters et al., "MALDI-TOF MS fingerprinting allows for discrimination of major methicillin-resistant Staphylococcus aureus lineages," Int J Med Microbiol, vol. 301, no. 1, pp. 64-8, Jan 2011.
[2] O. Clerc et al., "Matrix-assisted laser desorption ionization time-of-flight mass spectrometry and PCR-based rapid diagnosis of Staphylococcus aureus bacteraemia," Clin Microbiol Infect, vol. 20, no. 4, pp. 355-60, Apr 2014.
[3] C. A. Mather et al., "Rapid detection of vancomycin-intermediate Staphylococcus aureus by matrix-assisted laser desorption ionization-time of flight mass spectrometry," J Clin Microbiol, vol. 54, no. 4, pp. 883-90, Apr 2016.
[4] C. K. Naber, "Staphylococcus aureus bacteremia: Epidemiology, pathophysiology, and management strategies," Clinical Infectious Diseases, vol. 48, no. Supplement_4, pp. S231-7, 2009.
[5] G. A. Noskin et al., "The burden of Staphylococcus aureus infections on hospitals in the United States: an analysis of the 2000 and 2001 nationwide inpatient Sample database," JAMA Internal Medicine, vol. 165, no. 15, pp. 1756-61, 2005.
[6] F. D. Lowy, "Antimicrobial resistance: the example of Staphylococcus aureus,", The Journal of clinical investigation, vol. 111, no. 9, pp. 1265-73, 2003.
[7] M. Josten et al., "Analysis of the matrix-assisted laser desorption ionization-time of flight mass spectrum of Staphylococcus aureus identifies mutations that allow differentiation of the main clonal lineages," J Clin Microbiol, vol. 51, no. 6, pp. 1809-17, Jun 2013.
[8] P. Lasch et al., "Insufficient discriminatory power of MALDI-TOF mass spectrometry for typing of Enterococcus faecium and Staphylococcus aureus isolates," J Microbiol Methods, vol. 100, pp. 58-69, May 2014.
[9] C. Ostergaard et al., "Rapid first-line discrimination of methicillin resistant Staphylococcus aureus strains using MALDI-TOF MS," Int J Med Microbiol, vol. 305, no. 8, pp. 838-47, Dec 2015.
[10] T. Zhang et al., "Analysis of methicillin-resistant Staphylococcus aureus major clonal lineages by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS)," J Microbiol Methods, vol. 117, pp. 122-7, Oct 2015.
[11] M. Camoez et al., "Automated categorization of methicillin-resistant Staphylococcus aureus clinical isolates into different clonal complexes by MALDI-TOF mass spectrometry," Clin Microbiol Infect, vol. 22, no. 2, pp. 161 e1-7, Feb 2016.
[12] H. Y. Wang et al., "A new scheme for strain typing of methicillin-resistant Staphylococcus aureus on the basis of matrix-assisted laser desorption ionization time-of-flight mass spectrometry by using machine learning approach," PLoS One, vol. 13, no. 3, p. e0194289, 2018.
[13] V. E. Jones et al., "Rapid discrimination between methicillin-sensitive and methicillin-resistant Staphylococcus aureus by intact cell mass spectrometry," Medical Microbiology, vol. 49, no. 3, pp. 295-300, 2000.
[14] J. J. Lu et al., "Peptide biomarker discovery for identification of methicillin-resistant and vancomycin-intermediate Staphylococcus aureus strains by MALDI-TOF," Anal Chem, vol. 84, no. 13, pp. 5685-92, Jul 3 2012.
[15] Y. R. Wang et al., "Characterization of Staphylococcus aureus isolated from clinical specimens by matrix assisted laser desorption/ionization time-of-flight mass spectrometry," Biomed Environ Sci, vol. 26, no. 6, pp. 430-6, Jun 2013.
[16] K. Sogawa et al., "Rapid discrimination between methicillin-sensitive and methicillin-resistant Staphylococcus aureus using MALDI-TOF mass spectrometry," Biocontrol Science, vol. 22, no. 3, pp. 163-169, 2017.
[17] S. M. Lin et al., "Characterising phase variations in MALDI-TOF data and correcting them by peak alignment," Cancer informatics, vol. 1, no. 1, pp. 32-40, 2007.
[18] N. AlMasoud et al., "Optimization of matrix assisted desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) for the characterization of Bacillus and Brevibacillus species," Analytica chimica acta, vol. 840, pp. 49-57, 2014.
[19] S. J. Sheather et al., "A reliable data-based bandwidth selection method for kernel density estimation," Journal of the Royal Statistical Society. Series B (Methodological), vol. 53, no. 3, pp. 683-90, 1991.
[20] E. Jones et al., "SciPy: open source scientific tools for Python," 2001.
[21] B. A. Turlach, "Bandwidth selection in kernel density estimation: A review," CORE and Institut de Statistique, 1993.
[22] D. M. Bashtannyk et al., "Bandwidth selection for kernel conditional density estimation," vol. 36, no. 3, pp. 279-98, 2001.
[23] S. Baumann et al., "Standardized approach to proteome profiling of human Serum based on magnetic bead separation and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry," Clinical Chemistry, vol. 51, no. 6, p. 973, 2005.
[24] L. Breiman, Classification and regression trees. Routledge, 2017.
[25] F. Pedregosa et al., "Scikit-learn: machine learning in Python," vol. 12, no. Oct, pp. 2825-30, 2011.
[26] A. P. Bradley, "The use of the area under the ROC curve in the evaluation of machine learning algorithms," Pattern Recognition, vol. 30, no. 7, pp. 1145-59, 1997.
[27] K. Pearson, "X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling," The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, vol. 50, no. 302, pp. 157-75, 1900.
[28] J. F. Box, "Guinness, gosset, fisher, and small samples," Statist. Sci., vol. 2, no. 1, pp. 45-52, 1987.
|