Promoter Prediction with a GP-Automaton

Created by W.Langdon from gp-bibliography.bib Revision:1.7954

@InProceedings{Howard:evowks03,

• author = "Daniel Howard and Karl Benson",
• title = "Promoter Prediction with a {GP}-Automaton",
• booktitle = "Applications of Evolutionary Computing, EvoWorkshops2003: Evo{BIO}, Evo{COP}, Evo{IASP}, Evo{MUSART}, Evo{ROB}, Evo{STIM}",
• year = "2003",
• editor = "G{\"u}nther R. Raidl and Stefano Cagnoni and Juan Jes\'us Romero Cardalda and David W. Corne and Jens Gottlieb and Agn\`es Guillot and Emma Hart and Colin G. Johnson and Elena Marchiori and Jean-Arcady Meyer and Martin Middendorf",
• volume = "2611",
• series = "LNCS",
• pages = "44--53",
• address = "University of Essex, England, UK",
• publisher_address = "Berlin",
• month = "14-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, evolutionary computation, applications",
• isbn13 = "978-3-540-00976-4",
• DOI = "doi:10.1007/3-540-36605-9_5",
• abstract = "A GP-automaton evolves motif sequences for its states; it moves the point of motif application at transition time using an integer that is stored and evolved in the transition; and it combines motif matches via logical functions that it also stores and evolves in each transition. This scheme learns to predict promoters in human genome. The experiments reported use 5-fold cross validation.",
• notes = "EvoWorkshops2003",

}

Genetic Programming entries for Daniel Howard Karl A Benson

Citations