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:1.8051

@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

Citations