Predicting reactions from amino acid sequences in S. cerevisiae: an evolutionary computation approach
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- @InProceedings{1274094,
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author = "Kyle Ira Harrington",
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title = "Predicting reactions from amino acid sequences in S.
cerevisiae: an evolutionary computation approach",
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booktitle = "Genetic and Evolutionary Computation Conference
{(GECCO2007)} workshop program",
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year = "2007",
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month = "7-11 " # jul,
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editor = "Tina Yu",
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isbn13 = "978-1-59593-698-1",
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pages = "2725--2728",
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address = "London, United Kingdom",
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keywords = "genetic algorithms, genetic programming, GP^2, push,
PushGP",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2725.pdf",
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DOI = "doi:10.1145/1274000.1274094",
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publisher = "ACM Press",
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publisher_address = "New York, NY, USA",
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abstract = "Evolutionary computation has been used many times for
protein function prediction. In this paper a new
approach is taken by constraining the problem to
predicting the products of enzyme catalysis. Genetic
programming with the Push programming language is used
to evolve predictors within multiple search spaces.
Predictors are evolved within multiple search spaces to
reduce the complexity of solutions and represent
sequence analysis, protein domain recognition, protein
folding, and informatic approaches.",
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notes = "Distributed on CD-ROM at GECCO-2007 ACM Order No.
910071",
- }
Genetic Programming entries for
Kyle Ira Harrington
Citations