An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/prib/GreeneWM07,
  author =       "Casey S. Greene and Bill C. White and Jason H. Moore",
  title =        "An Expert Knowledge-Guided Mutation Operator for
                 Genome-Wide Genetic Analysis Using Genetic
                 Programming",
  booktitle =    "Proceedings of the second IAPR International Workshop
                 Pattern Recognition in Bioinformatics, PRIB 2007",
  year =         "2007",
  editor =       "Jagath C. Rajapakse and Bertil Schmidt and 
                 L. Gwenn Volkert",
  volume =       "4774",
  series =       "Lecture Notes in Computer Science",
  pages =        "30--40",
  address =      "Singapore",
  month =        oct # " 1-2",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, TuRF",
  isbn13 =       "978-3-540-75285-1",
  DOI =          "doi:10.1007/978-3-540-75286-8_4",
  size =         "11 page",
  abstract =     "Human genetics is undergoing a data explosion. Methods
                 are available to measure DNA sequence variation
                 throughout the human genome. Given current knowledge it
                 seems likely that common human diseases are best
                 predicted by interactions between biological
                 components, which can be examined as interacting DNA
                 sequence variations. The challenge is thus to examine
                 these high-dimensional datasets to identify
                 combinations of variations likely to predict common
                 diseases. The goal of this paper was to develop and
                 evaluate a genetic programming (GP) mutator suited to
                 this task by exploiting expert knowledge in the form of
                 Tuned ReliefF (TuRF) scores during mutation. We show
                 that using expert knowledge guided mutation performs
                 similarly to expert knowledge guided selection. This
                 study demonstrates that in the context of an expert
                 knowledge aware GP, mutation may be an appropriate
                 component of the GP used to search for interacting
                 predictors in this domain.",
  bibdate =      "2007-09-20",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/prib/prib2007.html#GreeneWM07",
}

Genetic Programming entries for Casey S Greene Bill C White Jason H Moore

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