Rule clustering and super-rule generation for transmembrane segments prediction

2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts

Volumn , Issue , 2005, Pages 224-227

  He, Jieyue ^a,b   Chen, Bernard ^b   Hu, Hae Jin ^b   Harrison, Robert ^b,c   Tai, Phang C ^b   Dong, Yisheng ^a   Pan, Yi ^b  

^a SOUTHEAST UNIVERSITY   (China)

^b GEORGIA STATE UNIVERSITY   (United States)

^c GCC Distinguished Cancer Scholar ^*

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY; LEARNING SYSTEMS; PROTEINS;

BIOINFORMATICS; DECISION TREE; RULE CLUSTERING; TRANSMEMBRANE SEGMENTS;

BIOLOGICAL MEMBRANES;

EID: 33749059974     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSBW.2005.121     Document Type: Conference Paper

References (7)

1. C.P Chen, A. Kernytsky, and B. Rost "Transmembrane helix predictions revisited" Protein Science, 2002. vol. 11, pp.2774-2791
2. A.R. Sikder and A.Y. Zomaya "An overview of protein-folding techniques: issues and perspectives" Int. J. Bioinformatics Research and Applications, 2005, Vol.1,issure 1,pp.121-143.
3. J.R Quinlan, "Improved Use of Continuous Attributes in C4.5.", J. Artificial Intelligence Research, 1996, vol. 4, pp. 77-90,
4. J.Han "Data mining Concepts and Techniques", Morgan Kaufmann Publishers (2001.
5. S. Möller, Kriventseva, E. V. Apweiler, "A collection of well characterized integral membrane proteins", Bioinformatics, 2000, vol. 16, pp. 1159-1160.
6. S. Henikoff, and J.G Henikoff, "Amino acid substitution matrices from protein blocks" PNAS, 1992,.vol. 89, pp. 10915-10919.
7. H.Hu, R.Harrison, P.C.Tai, and Y.Pan, "Transmembrane Segments Prediction with Support Vector Machine Based on High Performance Encoding Schemes", Proc. of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, La Jolla, California, USA., Oct. 7-8, 2004.