Comprehensive feature analysis for sample classification with comprehensive two-dimensional LC

Journal of Separation Science

Volumn 33, Issue 10, 2010, Pages 1365-1374

  Reichenbach, Stephen E ^a   Tian, Xue ^a   Tao, Qingping ^b   Stoll, Dwight R ^c   Carr, Peter W ^d  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b GC Image LLC   (United States)

^c GUSTAVUS ADOLPHUS COLLEGE   (United States)

^d University of Minnesota   (United States)

Author keywords

Classification; LC; Two dimensional chromatography

Indexed keywords

ANALYTICAL CHALLENGE; BIOLOGICAL SAMPLES; COMPREHENSIVE TWO-DIMENSIONAL; CROSS VALIDATION; DATA ANALYSIS; FEATURE ANALYSIS; HEALTH CONDITION; LEAVE-ONE-OUT; MULTIDIMENSIONAL SEPARATIONS; NEW APPROACHES; PEAK CAPACITY; SAMPLE CLASSIFICATION; TWO-DIMENSIONAL CHROMATOGRAPHY; URINE SAMPLE;

BODY FLUIDS; CHROMATOGRAPHIC ANALYSIS; CHROMATOGRAPHY; TWO DIMENSIONAL;

FEATURE EXTRACTION;

ARTICLE; CLASSIFICATION; CONTROLLED STUDY; EXTRACTION; LIQUID CHROMATOGRAPHY; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE; TWO DIMENSIONAL LIQUID CHROMATOGRAPHY; URINALYSIS; VALIDATION PROCESS;

5-HYDROXYTRYPTOPHAN; ALGORITHMS; CHROMATOGRAPHY, LIQUID; HUMANS; INDOLEACETIC ACIDS; INDOLES; NITRATES; TRYPTOPHAN; TYROSINE;

EID: 77952838086     PISSN: 16159306     EISSN: 16159314     Source Type: Journal    
DOI: 10.1002/jssc.200900859     Document Type: Article

References (28)

1. Qian, W., Jacobs, J., Liu, T., Camp, D., Smith, R., Mol. Cell. Proteomics 2006, 5, 1727-1744.
2. Kemperman, R. F. J., Horvatovich, P. L., Hoekman, B., Reijmers, T. H., Muskiet, F. A. J., Bischoff, R., J. Proteome. Res. 2007, 6, 194-206.
3. Eggink, M., Romero, W., Vreuls, R. J., Lingeman, H., Niessen, W. M. A., Irth, H., J. Chromatogr. A 2008, 1188, 216-226.
4. Cohen, S. A., Schure, M. R., (Eds.), Multidimensional Liquid Chromatography: Theory and Applications in Industrial Chemistry and the Life Sciences, John Wiley and Sons, New York, NY 2008.
5. Stoll, D., Cohen, J., Carr, P., J. Chromatogr. A 2006, 1122, 123-137.
6. Stoll, D., Li, S., Wang, S., Carr, P., Porter, C., Rutan, S., J. Chromatogr. A 2007, 1168, 3-43.
7. Etzioni, R., Kooperberg, C., Pepe, M., Smith, R., Gann, P., Biostatistics 2003, 4, 523-538.
8. Zhu, W., Wang, X., Ma, Y., Rao, M., Glimm, J., Kovach, J., Proc. Natl. Acad. Sci. USA 2003, 100, 14666-14671.
9. Wagner, M., Naik, D., Pothen, A., Kasukurti, S., Ram, R., Bao-Ling, D., Semmes, O., Wright, G., Jr., BMC Bioinf. 2004, 5, 1-9.
10. Radulovic, D., Jelveh, S., Ryu, S., Hamilton, T., Foss, E., Mao, Y., Emili, A., Mol. Cell. Proteomics 2004, 3, 984-997.
11. Vlahou, A., Fountoulakisa, M., J. Chromatogr. B 2005, 814, 11-19.
12. Ulintz, P., Zhu, J., Qin, Z., Andrews, P., Mol. Cell. Proteomics 2006, 5:497-509.
13. Johnson, K. J., Synovec, R. E., Chemom. Intell. Lab Syst. 2002, 60, 225-237.
14. Mispelaar, V. G., van Smilde, A. K., Noord, O. E. de Blomberg, J., Schoenmakers, P. J., J. Chromatogr. A 2005, 1096, 156-164.
15. Pierce, K. M., Wood, L. F., Wright, B. W., Synovec, R. E., Anal. Chem. 2005, 77, 7735-7743.
16. Porter, S. E. G., Stoll, D. R., Rutan, S. C., Carr, P. W., Cohen, J. D., Anal. Chem. 2006, 78, 5559-5569.
17. Zhang, D., Huang, X., Regnier, F. E., Zhang, M., Anal. Chem. 2008, 80, 2664-2671.
18. Pierce, K. M., Hoggard, J. C., Mohler, R. E., Synovec, R. E., J. Chromatogr. A 2008, 1184, 341-352.
19. GC Image, LLC, GC Images® LCxLC Software, 2008.
20. Visvanathan, A., Reichenbach, S. E., Tao, Q., J. Electron. Imaging 2007, 16, 033004.
21. Reichenbach, S. E., Carr, P., Stoll, D., Tao, Q., J. Chromatogr. A 2009, 1216, 3458-3466.
22. Reichenbach, S. E., Ni, M., Kottapalli, V., Visvanathan, A., Chemom. Intell. Lab. Syst. 2004, 71 107-120.
23. Beucher, S., Lantuejoul, C., International Workshop on Image Processing, Real-Time Edge and Motion Detection/ Estimation 1979, pp. 17-28.
24. Ni, M., Reichenbach, S. E., Proc. Int. Conf. Pattern Recognition, Vol. 2, 2004, pp. 145-148.
25. Cristianini, N., Shawe-Taylor, J., An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, New York, NY 2000.
26. Platt, J. C., in: Scholkopf, B., Burges, C. J. C., Smola, A. J. (Eds.), Advances in Kernel Methods - Support Vector Learning, MIT Press, Cambridge, MA 1999, pp. 185-208.
27. Witten, I. H., Frank, E., Data Mining: Practical Machine Learning Tools and Techniques, Second Edn, Morgan Kaufmann, San Francisco, CA 2005.
28. Mitchell, T. M., Machine Learning, McGraw-Hill, Boston, MA 1997.