Machine Learning Based Pattern Recognition Applied to Microarray Data

Combinatorial Chemistry and High Throughput Screening

Volumn 7, Issue 2, 2004, Pages 115-131

  Lavine, Barry K ^a   Davidson, Charles E ^a   Rayens, William S ^b  

^a CLARKSON UNIVERSITY   (United States)

^b UNIVERSITY OF KENTUCKY   (United States)

Author keywords

And Data Mining; Feature Selection; Genetic Algorithms; Pattern Recognition; Principal Component Analysis

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; CALCULATION; CHEMICAL COMPOSITION; CLUSTER ANALYSIS; CORRELATION ANALYSIS; EVOLUTION; GENE EXPRESSION; GENETIC ALGORITHM; HUMAN; INFORMATION PROCESSING; LEARNING; MACHINE; MICROANALYSIS; PATTERN RECOGNITION; PREDICTION; PRIORITY JOURNAL; PROTEIN EXPRESSION; PROTEOMICS; SAMPLING;

EID: 1942519797     PISSN: 13862073     EISSN: None     Source Type: Journal    
DOI: 10.2174/138620704773120801     Document Type: Article

References (18)

1. Lavine, B. K., Moores A. J. In Pattern Recognition, Chemometrics, and Imaging for Optical Environmental Monitoring, Siddiqui, K. and Eastwood, D. (Eds.), Proceedings of SPIES, 1999, pp. 103-112.
2. Lavine, B. K.; Ritter, J.; Moores, A.J.; Wilson, M.; Faruque, A. and Mayfield, H.T. Anal. Chem., 2000, 72(2), 423.
3. Lavine, B.K.; Davidson, C.E.; Moores, A.J. and Griffiths, P.R. Applied Spectroscopy, 2001, 55(8), 960.
4. Lavine, B.K.; Davidson, C.E. and Moores, A.J. Vibrational Spectroscopy, 2002 28(1), 83.
5. Vapnik, V. The Nature of Statistical Learning Theory, Springer-Verlag, New York, 1995.
6. Vapnik, V. Statistical Learning Theory, Wiley, New York, 1998.
7. Jain, A. K. and Dubes, R. C. Algorithms for Clustering Data, Prentice Hall, Englewood Cliffs, New Jersey, 1988.
8. Khan, J.; Wei, J.S.; Ringner, M.; Saal, L. H.; Ladanyi, M.; Westermann, F.; Berthold, F.; Schwab, M.; Antonescu, C.; Peterson, C., and Meltzer, P. Nature Medicine, 2001, 7(6), 673.
9. Golub, T. R.; Slonim, D.K.; Tamayo, P.; Huard, C.; Gaasenbeek, M.; Mesirov, J. P.; Coller, H.; Loh, M.L.; Downing, J.R.; Caligiuri, M.A.; Bloomfiled, C. D. and Lander, E. S. Science, 1999, 286, 531.
10. (http://clinicalproteomics.steem.com/download-ovar.php).
11. Tou, J. T., and Gonzalez, R. C. Pattern Recognition Principles, Addison Wesley Publishing Company, Reading, Massachusetts, 1974.
12. Lavine, B.K.; Davidson, C.E and Rayens, W. S. Journal of Chemometrics, 2003, submitted.
13. Cristianini, N., and Shawe-Taylor, J. An Introduction to Support Vector Machines, Cambridge University Press, England, 2000.
14. Kohane, I. Advanced Topics in Microarray Analysis, NIH Workshop, Bethesda, MD, January 22, 2003.
15. Li, L.; Weinberg, C. R.; Darden, T.A., and Pederson, L. G. Bioinformatics, 2001, 17(12), 1131.
16. Bicciato, S.; Luchini, A., and Di Bello, C. Minerva Biotec, 2002, 14, 281.
17. Alon, U.; Barkai, N.; Notterman, D. A.; Gish, K.; Ybarra, S.; Mack, D., and Levine, A.J. Proc. Natl. Acad. Science U.S.A., 1999, 96, 6745.
18. Li, L.; Darden, T.A., Weinberg, C. R.; Levine, A. J., and Pederson, L. G. Combinatorial Chemistry & High Throughput Screening, 2001, 4, 727.