Grammatical evolution of neural networks for discovering epistasis among quantitative trait loci

Stephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

Growing interest and burgeoning technology for discovering genetic mechanisms that influence disease processes have ushered in a flood of genetic association studies over the last decade, yet little heritability in highly studied complex traits has been explained by genetic variation. Non-additive gene-gene interactions, which are not often explored, are thought to be one source of this "missing" heritability. Here we present our assessment of the performance of grammatical evolution to evolve neural networks (GENN) for discovering gene-gene interactions which contribute to a quantitative heritable trait. We present several modifications to the GENN procedure which result in modest improvements in performance.

Original languageEnglish (US)
Title of host publicationEvolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 8th European Conference, EvoBIO 2010, Proceedings
Pages86-97
Number of pages12
DOIs
StatePublished - May 20 2010
Event8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2010 - Istanbul, Turkey
Duration: Apr 7 2010Apr 9 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6023 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2010
CountryTurkey
CityIstanbul
Period4/7/104/9/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Turner, S. D., Dudek, S. M., & Ritchie, M. D. (2010). Grammatical evolution of neural networks for discovering epistasis among quantitative trait loci. In Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 8th European Conference, EvoBIO 2010, Proceedings (pp. 86-97). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6023 LNCS). https://doi.org/10.1007/978-3-642-12211-8-8