Classifying protein fingerprints

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3202, Issue , 2004, Pages 197-208

  Hilario, Melanie ^a   Mitchell, Alex ^b   Kim, Jee Hyub ^a   Bradley, Paul ^b   Attwood, Terri ^c  

^a UNIVERSITY OF GENEVA   (Switzerland)

^b EUROPEAN BIOINFORMATICS INSTITUTE   (United Kingdom)

^c UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC INDEXING; DATABASE SYSTEMS; MOLECULAR BIOLOGY; PROTEINS;

10-FOLD CROSS-VALIDATION; BLIND TEST; DOMAIN EXPERTS; HANDCRAFTED RULES; PROTEIN FAMILY; PROTEIN SEQUENCES; PROTEOMICS; SWISS-PROT;

CLASSIFICATION (OF INFORMATION);

EID: 35048890762     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30116-5_20     Document Type: Article

References (12)

1. T. K. Attwood, P. Bradley, D. R. Flower, A. Gaulton, N. Maudling, and A. L. Mitchell et al. PRINTS and its automatic supplement, prePRINTS. Nucleic Acids Research, 31(1):400-402, 2003.
2. L. Breiman. Random forests. Machine Learning, 45:5-32, 2001.
3. G. Cohen, M. Hilario, H. Sax, and S. Hugonnet. Data imbalance in surveillance of nosocomial infections. In Proc. International Symposium on Medical Data Analysis, Berlin, 2003. Springer-Verlag.
4. R. Duda, P. Hart, and D. Stork. Pattern Classification. Wiley, 2000.
5. J. Gama and P. Brazdil. Linear tree. Intelligent Data Analysis, 3:1-22, 1999.
6. M. Hall. Correlation-based feature selection for discrete and numeric class machine learning. In Proc. 17th International Conference on Machine Learning, 2000.
7. S. Henikoff and J. G. Henikoff. Amino acid substitution matrices from protein blocks. Proc. National Academy of Sciences USA, 89:10915-10919, November 1992.
8. R. J. Little and D. B. Rubin. Statistical Analysis with Missing Data. Wiley, 1987.
9. A. L. Mitchell, J. R. Reich, and T. K. Attwood. PRECIS-protein reports engineered from concise information in SWISS-PROT. Bioinformatics, 19:1664-1671, 2003.
10. M. R. Sikonja and I. Kononenko. Theoretical and empirical analysis of relieff and rrelieff. Machine Learning, 53:23-69, 2003.
11. O. Troyanskaya, M. Cantor, G. Sherlock, P. Brown, T. Hastie, R. Tibshirani, D. Botstein, and R. Altman. Missing value estimation methods for DNA microarrays. Bioinformatics, 17(6):520-525, 2001.
12. I. Witten and E. Frank. Data Mining. Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kaufmann, 2000.