Using bagging classifier to predict protein domain structural class

Journal of Biomolecular Structure and Dynamics

Volumn 24, Issue 3, 2006, Pages 239-242

  Dong, Liuhuan ^a   Yuan, Yuan ^b   Cai, Yudong ^a  

^a Shanghai Jiao Tong University Affiliated Sixth People s Hospital   (China)

^b JIAXING UNIVERSITY   (China)

Author keywords

And amino acid composition; Bagging; LogitBoost; Protein structure classification; Support vector machines

Indexed keywords

PROTEIN;

ALGORITHM; ARTICLE; BAGGING CLASSIFIER SYSTEM; COMPUTER MODEL; COMPUTER PREDICTION; COMPUTER SYSTEM; MACROMOLECULE; NONHUMAN; PRIORITY JOURNAL; PROTEIN AGGREGATION; PROTEIN DOMAIN; PROTEIN STRUCTURE; VALIDATION PROCESS;

ALGORITHMS; MODELS, MOLECULAR; PROTEIN CONFORMATION; PROTEINS;

EID: 33845338429     PISSN: 07391102     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Nakashima, H., Nishikawa, K., and Ooi, T. J. Biochem. 99, 152-162 (1986).
2. Klein, P. Biophys. Acta. 876, 205-275 (1986).
3. Chou, K. C. and Maggiora, G. M. Protein Engineering II, 523-538 (1998).
4. Bahar, I., Atilgan, A. R., Jernigan, R. L., Erman, B. PROTEINS: Struct. Funct. Genet. 29, 172-185 (1997).
5. Chou, J. J., Zhang, C. T. J. Theor. Biol. 161, 251-262 (1993).
6. Chou, K. C. Proteins:Struct. Funct. Genet. 21, 319-344 (1995).
7. Cai, Y. D., Zhou, G. P. Biochimie 82, 783-785 (2000).
8. Chou, K. C., Cai, Y. D. J. Biol. Chem. 277, 45765-45769 (2002).
9. Cai, Y. D., Feng, K. Y., Lu, W. C., and Chou, K. C. J. Theoretical Biology 238, 172-176 (2006).
10. Breiman, L. Machine Learning 24, 123-140 (1996).
11. Huang, Y., Cai, J., Ji, L., Li, Y. Comput Biol Chem. 28, 275-280 (2004).
12. Prasad, A. M., Iverson, L. R., Liaw, A. Ecosystems 9, 181-199 (2006).
13. Mardin, C. Y., Hothorn, T., Peters, A., Junemann, A. G., Nguyen, N. X., Lausen, B. J Glaucoma. 12, 340-346 (2003).
14. Dudoit, S., Fridlyand, J. Bioinformatics 19, 1090-1099 (2003).
15. Breiman, L., Friedman, J., Olshen, R., and Stone, C. Classification and Re-gression Trees. Wadsworth (1984).
16. Witten, I. H. and Frank E. Data Mining: Practical Machine Learning Tools and Techniques, 2nd Edition. Morgan Kaufmann, San Francisco (2005).
17. Chou, K. C. Biochem. Biophys. Res. Comm. 264, 216-224 (1999).
18. Shao, J. J of the American Statistical Association 88, 486-494 (1993).
19. Breiman, L. and Spector, P. International Statistical Review 60, 291-319 (1992).
20. Kohavi, R. International Joint Conference on Artificial Intelligence (1995).
21. Vapnik, V. Statistical Learning Theory. Wiley-Interscience, New York (1998).
22. Platt, J. Fast Training of Support Vector Machines Using Sequential Minimal Optimization. Advances in Kernel Methods-Support Vector Learning. Eds., B. Schoelkopf, C. Burges, and A. Smola. MIT Press (1998).
23. Keerthi, S. S., Shevade, S. K., Bhattacharyya, C., and Murthy, K. R. K. Neural Computation 13, 637-649 (2001).
24. Friedman, J., Hastie, T., and Tibshirani, R. Ann. Stat. 337-407 (2000).
25. Quinlan J. R. Learning with Continuous Classes. Proceedings of the Australian Joint Conference on Artificial Intelligence, pp. 343-348. World Scientific, Singapore (1992).