Solving Complex Problems in Human Genetics Using Genetic Programming: The Importance of Theorist-Practitioner-computer Interaction
Created by W.Langdon from
gp-bibliography.bib Revision:1.8110
- @InCollection{Moore:2007:GPTP,
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author = "Jason H. Moore and Nate Barney and Bill C. White",
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title = "Solving Complex Problems in Human Genetics Using
Genetic Programming: The Importance of
Theorist-Practitioner-computer Interaction",
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booktitle = "Genetic Programming Theory and Practice {V}",
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year = "2007",
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editor = "Rick L. Riolo and Terence Soule and Bill Worzel",
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series = "Genetic and Evolutionary Computation",
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chapter = "5",
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pages = "69--86",
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address = "Ann Arbor",
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month = "17-19" # may,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-0-387-76308-8",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.1917",
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URL = "http://vserver1.cscs.lsa.umich.edu/PmWiki/Farms/GPTP-07/uploads/Main/moorebecker.pdf",
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DOI = "doi:10.1007/978-0-387-76308-8_5",
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size = "18 pages",
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abstract = "Genetic programming (GP) shows great promise for
solving complex problems in human genetics.
Unfortunately, many of these methods are not accessible
to biologists. This is partly due to the complexity of
the algorithms that limit their ready adoption and
integration into an analysis or modelling paradigm that
might otherwise only use univariate statistical
methods. This is also partly due to the lack of
user-friendly, open-source, platform-independent, and
freely-available software packages that are designed to
be used by biologists for routine analysis. It is our
objective to develop, distribute and support a
comprehensive software package that puts powerful GP
methods for genetic analysis in the hands of
geneticists. It is our working hypothesis that the most
effective use of such a software package would result
from interactive analysis by both a biologist and a
computer scientist (i.e. human-human-computer
interaction). We present here the design and
implementation of an open-source software package
called Symbolic Modeler (SyMod) that seeks to
facilitate geneticist -- bioinformaticist -- computer
interactions for problem solving in human genetics. We
present and discuss the results of an application of
SyMod to real data and discuss the challenges
associated with delivering a user-friendly GP-based
software package to the genetics community.",
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notes = "part of \cite{Riolo:2007:GPTP} published 2008",
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affiliation = "Dartmouth College One Medical Center Drive HB7937
Lebanon NH 03756 USA",
- }
Genetic Programming entries for
Jason H Moore
Nate Barney
Bill C White
Citations