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JH: Solving complex problems in human genetics using nature-inspired algorithms: Strategies for exploiting domainspecific knowledge
| Venue: | In Nature Inspired Informatics. Edited by: Chiong R. IGI Global |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Moore_jh:solving,
author = {Jason H. Moore and Nate Barney and Bill C. White},
title = {JH: Solving complex problems in human genetics using nature-inspired algorithms: Strategies for exploiting domainspecific knowledge},
booktitle = {In Nature Inspired Informatics. Edited by: Chiong R. IGI Global},
year = {}
}
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Abstract
Genetic programming (GP) shows great promise for solving complex prob-lems in human genetics. Unfortunately, many of these methods are not acces-sible to biologists. This is partly due to the complexity of the algorithms that limit their ready adoption and integration into an analysis or modeling 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 chal-lenges associated with delivering a user-friendly GP-based software package to the genetics community.
Keyphrases
human genetics nature-inspired algorithm domainspecific knowledge complex problem comprehensive software package effective use human-human-computer interaction real data problem solving genetic analysis univariate statistical method open-source software package genetic programming computer scientist symbolic modeler powerful gp method great promise geneticist-bioinformaticist-computer interaction freely-available software package ready adoption genetics community interactive analysis routine analysis software package complex prob-lems user-friendly gp-based software package
