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://www.cs.bham.ac.uk/~wbl/biblio/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