Promoter prediction with a GP-automaton

  • Authors:

  • Daniel Howard;Karl Benson

  • Affiliations:

  • Software Evolution Centre, QinetiQ Ltd, Malvern Technology Centre, Malvern, United Kingdom;Software Evolution Centre, QinetiQ Ltd, Malvern Technology Centre, Malvern, United Kingdom

  • Venue:
  • EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
  • Year:
  • 2003

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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.