BiHEA: A hybrid evolutionary approach for microarray biclustering

In this paper a new hybrid approach that integrates an evolutionary algorithm with local search for microarray biclustering is presented. The novelty of this proposal is constituted by the incorporation of two mechanisms: the first one avoids loss of good solutions through generations and overcomes...

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Detalhes bibliográficos
Autores: Gallo, Cristian Andrés, Carballido, Jessica Andrea, Ponzoni, Ignacio
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2009
País:Argentina
Recursos:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/64882
Acesso em linha:http://hdl.handle.net/11336/64882
Access Level:acceso abierto
Palavra-chave:Biclustering
Evolutionary Algorithms
Gene Expression Data
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
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spelling BiHEA: A hybrid evolutionary approach for microarray biclusteringGallo, Cristian AndrésCarballido, Jessica AndreaPonzoni, IgnacioBiclusteringEvolutionary AlgorithmsGene Expression Datahttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In this paper a new hybrid approach that integrates an evolutionary algorithm with local search for microarray biclustering is presented. The novelty of this proposal is constituted by the incorporation of two mechanisms: the first one avoids loss of good solutions through generations and overcomes the high degree of overlap in the final population; and the other one preserves an adequate level of genotypic diversity. The performance of the memetic strategy was compared with the results of several salient biclustering algorithms over synthetic data with different overlap degrees and noise levels. In this regard, our proposal achieves results that outperform the ones obtained by the referential methods. Finally, a study on real data was performed in order to demonstrate the biological relevance of the results of our approach. © 2009 Springer Berlin Heidelberg.Fil: Gallo, Cristian Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; ArgentinaFil: Carballido, Jessica Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Sur; ArgentinaFil: Ponzoni, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional del Sur; ArgentinaSpringer2009-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/64882Gallo, Cristian Andrés; Carballido, Jessica Andrea; Ponzoni, Ignacio; BiHEA: A hybrid evolutionary approach for microarray biclustering; Springer; Lecture Notes in Computer Science; 5676 LNBI; 7-2009; 36-47978-3-642-03223-30302-9743CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-03223-3_4info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-642-03223-3_4info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T13:59:21Zoai:ri.conicet.gov.ar:11336/64882instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 13:59:21.606CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv BiHEA: A hybrid evolutionary approach for microarray biclustering
title BiHEA: A hybrid evolutionary approach for microarray biclustering
spellingShingle BiHEA: A hybrid evolutionary approach for microarray biclustering
Gallo, Cristian Andrés
Biclustering
Evolutionary Algorithms
Gene Expression Data
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
title_short BiHEA: A hybrid evolutionary approach for microarray biclustering
title_full BiHEA: A hybrid evolutionary approach for microarray biclustering
title_fullStr BiHEA: A hybrid evolutionary approach for microarray biclustering
title_full_unstemmed BiHEA: A hybrid evolutionary approach for microarray biclustering
title_sort BiHEA: A hybrid evolutionary approach for microarray biclustering
dc.creator.none.fl_str_mv Gallo, Cristian Andrés
Carballido, Jessica Andrea
Ponzoni, Ignacio
author Gallo, Cristian Andrés
author_facet Gallo, Cristian Andrés
Carballido, Jessica Andrea
Ponzoni, Ignacio
author_role author
author2 Carballido, Jessica Andrea
Ponzoni, Ignacio
author2_role author
author
dc.subject.none.fl_str_mv Biclustering
Evolutionary Algorithms
Gene Expression Data
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
topic Biclustering
Evolutionary Algorithms
Gene Expression Data
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
description In this paper a new hybrid approach that integrates an evolutionary algorithm with local search for microarray biclustering is presented. The novelty of this proposal is constituted by the incorporation of two mechanisms: the first one avoids loss of good solutions through generations and overcomes the high degree of overlap in the final population; and the other one preserves an adequate level of genotypic diversity. The performance of the memetic strategy was compared with the results of several salient biclustering algorithms over synthetic data with different overlap degrees and noise levels. In this regard, our proposal achieves results that outperform the ones obtained by the referential methods. Finally, a study on real data was performed in order to demonstrate the biological relevance of the results of our approach. © 2009 Springer Berlin Heidelberg.
publishDate 2009
dc.date.none.fl_str_mv 2009-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/64882
Gallo, Cristian Andrés; Carballido, Jessica Andrea; Ponzoni, Ignacio; BiHEA: A hybrid evolutionary approach for microarray biclustering; Springer; Lecture Notes in Computer Science; 5676 LNBI; 7-2009; 36-47
978-3-642-03223-3
0302-9743
CONICET Digital
CONICET
url http://hdl.handle.net/11336/64882
identifier_str_mv Gallo, Cristian Andrés; Carballido, Jessica Andrea; Ponzoni, Ignacio; BiHEA: A hybrid evolutionary approach for microarray biclustering; Springer; Lecture Notes in Computer Science; 5676 LNBI; 7-2009; 36-47
978-3-642-03223-3
0302-9743
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-642-03223-3_4
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007/978-3-642-03223-3_4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 15.198674

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