Boolean Genetic Programming for Promoter Recognition in Eukaryotes

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{wang:2005:CEC,

• author = "Singer X. J. Wang and Peter Lichodzijewski",
• title = "Boolean Genetic Programming for Promoter Recognition in Eukaryotes",
• booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary Computation",
• year = "2005",
• editor = "David Corne and Zbigniew Michalewicz and Marco Dorigo and Gusz Eiben and David Fogel and Carlos Fonseca and Garrison Greenwood and Tan Kay Chen and Guenther Raidl and Ali Zalzala and Simon Lucas and Ben Paechter and Jennifier Willies and Juan J. Merelo Guervos and Eugene Eberbach and Bob McKay and Alastair Channon and Ashutosh Tiwari and L. Gwenn Volkert and Dan Ashlock and Marc Schoenauer",
• volume = "1",
• pages = "683--690",
• address = "Edinburgh, UK",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• month = "2-5 " # sep,
• organisation = "IEEE Computational Intelligence Society, Institution of Electrical Engineers (IEE), Evolutionary Programming Society (EPS)",
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-7803-9363-5",
• URL = "http://flame.cs.dal.ca/~piotr/01554749.pdf",
• DOI = "doi:10.1109/CEC.2005.1554749",
• abstract = "Fixed-length Genetic Programming is applied to the problem of promoter identification in eukaryotes. The goal is to generate solutions that can be easily interpreted and compared with known promoter characteristics. Using a boolean function set applied to boolean registers, inputs, and constant values, the approach builds a logical expression whose value gives the classification decision. Evaluated on a dataset of human promoters and non-promoters from coding regions, the approach is found to generate concise solutions that yield good specificity but poor sensitivity. Analysis of the programs that are generated indicates that a well-known, biologically significant, characteristic of promoter regions is successfully identified. Suggested future work involves implementing the system using fuzzy logic.",
• notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and the EPS.",

}

Genetic Programming entries for Singer X J Wang Peter Lichodzijewski

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