An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{conf/prib/GreeneWM07,
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author = "Casey S. Greene and Bill C. White and Jason H. Moore",
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title = "An Expert Knowledge-Guided Mutation Operator for
Genome-Wide Genetic Analysis Using Genetic
Programming",
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booktitle = "Proceedings of the second IAPR International Workshop
Pattern Recognition in Bioinformatics, PRIB 2007",
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year = "2007",
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editor = "Jagath C. Rajapakse and Bertil Schmidt and
L. Gwenn Volkert",
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volume = "4774",
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series = "Lecture Notes in Computer Science",
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pages = "30--40",
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address = "Singapore",
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month = oct # " 1-2",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, TuRF",
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isbn13 = "978-3-540-75285-1",
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DOI = "doi:10.1007/978-3-540-75286-8_4",
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size = "11 page",
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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.",
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bibdate = "2007-09-20",
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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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