Combining classifiers for HIV-1 drug resistance prediction

Protein and Peptide Letters

Volumn 15, Issue 5, 2008, Pages 435-442

  Srisawat, Anantaporn ^a   Kijsirikul, Boonserm ^a  

^a CHULALONGKORN UNIVERSITY   (Thailand)

Author keywords

Combining classifiers; Composite classifier; HIV 1 drug resistance prediction; k NN; SVM; The RBF network

Indexed keywords

ALGORITHM; ANTIVIRAL RESISTANCE; ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGY; COMPARATIVE STUDY; HUMAN IMMUNODEFICIENCY VIRUS 1; METHODOLOGY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DRUG RESISTANCE, VIRAL; HIV-1; SENSITIVITY AND SPECIFICITY;

HUMAN IMMUNODEFICIENCY VIRUS; HUMAN IMMUNODEFICIENCY VIRUS 1;

EID: 45749137924     PISSN: 09298665     EISSN: None     Source Type: Journal    
DOI: 10.2174/092986608784567537     Document Type: Article

References (25)

1. Coffin, J.M. (1995) Science, 267, 483-489.
2. Demeter, L. and Haubrich, R. (2001) J. Acquir. Immune Defic. Syndr., 26, S3-S9.
3. Wang, K., Jenwitheesuk, E., Samudrala, R. and Mitter, J.E. (2004) Antivial. Ther., 9, 343-352.
4. Sevin, A.D., DeGruttola, V., Nijhuis, M., Schapiro, J.M., Foulkes, A.S., Para, M.F. and Boucher, C.A.B. (2000) J. Infect. Dis., 182, 59-67.
5. Beerenwinkel, N., Schmidt, B., Walter, H., Kaiser, R., Lengauer, T., Hoffmann, D., Korn, K. and Selbig, J. (2001) IEEE Intellig. Syst., 16, 35-41.
6. Beerenwinkel, N., Schmidt, B., Walter, H., Kaiser, R., Lengauer, T., Hoffmann, D., Korn, K. and Selbig, J. (2002) Proc. Natl. Acad. Sc. USA, 8271-8276.
7. Beerenwinkel, N., Daumer, M., Oette, M., Korn, K., Hoffmann, D., Kaiser, R., Lengauer, T., Selbig, J. and Walter, H. (2003) Nucleic Acids Res., 31, 3850-3855.
8. Wang, D. and Larder, B. (2003) Infect. Dis., 188, 653-660.
9. Draghici, S. and Potter, B. (2003) Bioinformatics, 19, 98-107.
10. Tsymbal, A., Pechenizkiy, M., Cunningham, P. and Puuronen, S. (2006) IEEE Inter. Symp. Comput.-Based Med. Syst., 19, 679-684.
11. Tsymbal, A., Pechenizkiy, M., Cunningham, P. and Puuronen, S. (2008) Special Issue of Inform. Fusion J., 9, 56-68.
12. Vapnik, V.N. (1998) Statistical Learning Theory.
13. Haykin, S. (1999) Neural Networks: A Comprehensive Foundation, 256-317.
14. Mitchell, T.M. (1997) Machine Learn., 230-236.
15. Robnik, S.M. and Kononenko, I. (1997) Proc. Inter. Conf. Mach. Learn., 14, 296-304.
16. Hilario, M., Mitchell, A., Kim, J.H., Bradley, P. and Attwood, T. (2004) Lect. Notes Comput. Sci., 3202, 197-208.
17. Luts, J., Heerschap, A., Suykens, A.K.J. and Huffel, S.V. (2007) Artif. Intell. Med., 40, 87-102.
18. Huang, Y., Mccullagh, P., Black, N. and Harper, R. (2007) Artifi. Intell. Med., 41, 251-262.
19. Huang, D.S., Zhao, X.M., Huang,G.B. and Cheung, Y.M. (2006) Pattern Recognition, 39, 2293-2300.
20. Jones, D.T. (1999) J. Mol. Biol., 292, 195-202.
21. Ghosh, A. and Parai, B. (2008) Int. J. Approx. Reasoning, 47, 37-44.
22. Davis, L., Hawkins, J., Maetschke, S. and Bodén, M. (2006) ACM Inter. Conf. Proc. Series, 246, 39-47.
23. Gama, J. (2000) in PhD Thesis, University of Porto, 119-136.
24. Skalak, D.B. (1997) PhD Thesis, University of Massachusetts, 1-51.
25. Ali, K.M. and Pazzani, M.J. (1996) Mach. Learn., 24, 173-202.