Neural classification of E.coli promoters usin selected DNA profiles

Advances in Soft Computing

Volumn , Issue AISC, 2005, Pages 51-60

  Conilione, Paul C ^a   Wang, Dianhui ^a  

^a LA TROBE UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84874949854     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (15)

1. Bories Demele and Guangwen Zhou. Neural Network optimization for E.coli promote prediction. Nuci Acids. Res., 19(7):1593-1599, April 1991.
2. Calvin B. Harley and Robe t P. Reynolds. Analysis of E. coli promote sequences. Nucl. Acids. Res 15(5):2334-2361, 1987.
3. Diane K. Hawley and William R. McClure. Compilation and analysis of Escherichia coli promoter DNA sequences. Nuci Acids. Res., ll(8):2237-2255, 1983.
4. Haym Hirsh and Michiel Noordewier. Using background knowledge to improve inductive learning of DNA sequences. In Artificial Intelligence for Applications, 1994, Proceedings of the Tenth Conference on, pages 351-357, March 1994.
5. Shlomit Lisser and Hanah Margalit. Compilation of E.coli mRNA promoter sequences. Nuci. Acids. Res., 21(7):1507-1516, April 1993.
6. A.V. Lukashin, V.V. Anshelevich, B.R. Amirikyan, A.I. Gragerov and M.D. FrankKamenetskii. Neural network models for promoter recognition. Journal of Biomolecidar Structure arid Dynamics, 6:1123-1133, 1989.
7. Qicheng Ma, Jason T L Wang, and James R Gattiker. Milling Biomolecidar Data Using Background Knowledge and Artificial Neural Networks in Handbook of Massive Data Sets, chapter 30, pages 1141-1168. Kluwer Academic Publishers, 2002.
8. Qicheng Ma, Jason T. L. Wang, Dennis Shasha, and Cathy H. Wu. DNA Sequence Classification via an Expectation Maximization Algorithm and Neural Networks: A Case Study. IEEE Transactions on Systems, Man and Cybernetics, part c, 31(4):468-475, November 2001.
9. Indu Mahadevan and Indira Ghosh. Analysis of E.coli Promoter Structures using Neural Networks. Nuci. Acids. Res., 22(11):2158-2165, June 1994.
10. Michael Connell O'Neil. Escherichia coli promoters: neural networks develop distinct descriptions in learning to search for promoters of different spacing classes. Nuci. Acids. Res., 20(13):3471-3477, 1992.
11. Rick L. Ornstein, Robert Rein, Donnal L. Breen, and Robert D. Macelroy. An optimized potential function for the calculation of nucleic acid interaction energies I. Base stacking. Biopolymers, 17(10):2341-2360, 1978.
12. Anders Gorm Pedersen and Jacob Engelbrecht. Investigations of Escherichia coli Promoter Sequences with Artificial Neural Networks: New Signals Discovered Upstream of the Transcriptional Startpoint. In Christopher J. Rawlings, Dominic A. Clark, Russ B. Altman, Lawrence Hunter, Thomas Lengauer, and Shoshana J. Wodak, editors, Proceedmgs of the Third International Conference on Intelligent Systems for Molecular Biology. Cambridge, United Kingdom. AAAI, July 1995.
13. Anders Gorm Pedersen, Lars Juhl Jensen, Soren Brunak, Hans-Henrik Staerfeldta, and David W. Ussery. A DNA structural atlas for Escherichia coli. Journal of Molecular Biology, 299(4):907-930, june 2000.
14. H Salgado, A Santos-Zavaleta, S Gama-Castro, D Milln-Zrate, E Daz-Peredo, F Snchez-Solano, E Prez-Rueda, C Bonavides-Martnez, and J Collado-Vides. RegulonDB (version 3.2): Transcriptional Regulation and Operon Organization in Escherichia coli K-12. Nuci. Acids. Res., 29(1):72-74, 2001.
15. Geoffrey G. Towell and Jude W. Shavlik. Knowledge-based artificial neural networks. Artificial Intelligance, 70:119-165, 1994.