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:1.3973

@InCollection{Moore:2007:GPTP,
  author =       "Jason H. Moore and Nate Barney and Bill C. White",
  title =        "Solving Complex Problems in Human Genetics Using
                 Genetic Programming: The Importance of
                 Theorist-Practitioner-computer Interaction",
  booktitle =    "Genetic Programming Theory and Practice {V}",
  year =         "2007",
  editor =       "Rick L. Riolo and Terence Soule and Bill Worzel",
  series =       "Genetic and Evolutionary Computation",
  chapter =      "5",
  pages =        "69--86",
  address =      "Ann Arbor",
  month =        "17-19" # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-0-387-76308-8",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.463.1917",
  URL =          "http://vserver1.cscs.lsa.umich.edu/PmWiki/Farms/GPTP-07/uploads/Main/moorebecker.pdf",
  DOI =          "doi:10.1007/978-0-387-76308-8_5",
  size =         "18 pages",
  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.",
  notes =        "part of \cite{Riolo:2007:GPTP} published 2008",
  affiliation =  "Dartmouth College One Medical Center Drive HB7937
                 Lebanon NH 03756 USA",
}

Genetic Programming entries for Jason H Moore Nate Barney Bill C White

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