Boolean Genetic Programming for Promoter Recognition in Eukaryotes
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{wang:2005:CEC,
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author = "Singer X. J. Wang and Peter Lichodzijewski",
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title = "Boolean Genetic Programming for Promoter Recognition
in Eukaryotes",
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booktitle = "Proceedings of the 2005 IEEE Congress on Evolutionary
Computation",
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year = "2005",
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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",
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volume = "1",
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pages = "683--690",
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address = "Edinburgh, UK",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "2-5 " # sep,
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organisation = "IEEE Computational Intelligence Society, Institution
of Electrical Engineers (IEE), Evolutionary Programming
Society (EPS)",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-7803-9363-5",
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URL = "http://flame.cs.dal.ca/~piotr/01554749.pdf",
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DOI = "doi:10.1109/CEC.2005.1554749",
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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.",
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notes = "CEC2005 - A joint meeting of the IEEE, the IEE, and
the EPS.",
- }
Genetic Programming entries for
Singer X J Wang
Peter Lichodzijewski
Citations