Predicting reactions from amino acid sequences in S. cerevisiae: an evolutionary computation approach

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@InProceedings{1274094,

• author = "Kyle Ira Harrington",
• title = "Predicting reactions from amino acid sequences in S. cerevisiae: an evolutionary computation approach",
• booktitle = "Genetic and Evolutionary Computation Conference {(GECCO2007)} workshop program",
• year = "2007",
• month = "7-11 " # jul,
• editor = "Tina Yu",
• isbn13 = "978-1-59593-698-1",
• pages = "2725--2728",
• address = "London, United Kingdom",
• keywords = "genetic algorithms, genetic programming, GP^2, push, PushGP",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2725.pdf",
• DOI = "doi:10.1145/1274000.1274094",
• publisher = "ACM Press",
• publisher_address = "New York, NY, USA",
• 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.",
• notes = "Distributed on CD-ROM at GECCO-2007 ACM Order No. 910071",

}

Genetic Programming entries for Kyle Ira Harrington

Citations