{"id":{"repo_id":"brock","oai_identifier":"oai:brocku.scholaris.ca:10464/4101"},"canonical_url":"https://search.dev.ndltd.org/etd/brock/oai:brocku.scholaris.ca:10464/4101","repository":{"repo_id":"brock","name":"Brock University","base_url":"https://brocku.scholaris.ca/server/oai/request"},"display":{"title":"A Multi-Objective Genetic Algorithm with Side Effect Machines for Motif Discovery","abstract":"Understanding the machinery of gene regulation to control gene expression has been one of the main focuses of bioinformaticians for years. We use a multi-objective genetic algorithm to evolve a specialized version of side effect machines for degenerate motif discovery. We compare some suggested objectives for the motifs they find, test different multi-objective scoring schemes and probabilistic models for the background sequence models and report our results on a synthetic dataset and some biological benchmarking suites. 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We conclude with a comparison of our algorithm with some widely used motif discovery algorithms in the literature and suggest future directions for research in this area.","abstract_has_math":false,"creators":["Alizadeh Noori, Farhad"],"institution":"Brock University","degree_name":"M.Sc. 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We use a multi-objective genetic algorithm to evolve a specialized version of side effect machines for degenerate motif discovery. We compare some suggested objectives for the motifs they find, test different multi-objective scoring schemes and probabilistic models for the background sequence models and report our results on a synthetic dataset and some biological benchmarking suites. We conclude with a comparison of our algorithm with some widely used motif discovery algorithms in the literature and suggest future directions for research in this area."]},{"key":"dc:title","label":"Title","values":["A Multi-Objective Genetic Algorithm with Side Effect Machines for Motif Discovery"]}]}],"canonical_facts":{"dc:contributor.department":["Department of Computer Science"],"dc:creator":["Alizadeh Noori, Farhad"],"dc:date.accessioned":["2012-09-18T13:38:36Z"],"dc:date.available":["2012-09-18T13:38:36Z"],"dc:date.issued":["2012-09-18"],"dc:description.abstract":["Understanding the machinery of gene regulation to control gene expression has been one of the main focuses of bioinformaticians for years. We use a multi-objective genetic algorithm to evolve a specialized version of side effect machines for degenerate motif discovery. 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