Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods

Autores
Benalcazar Palacios, Marco Enrique; Pagnuco, Inti Anabela; Comas, Diego Sebastián; Corva, Pablo Marcelo; Meschino, Gustavo Javier; Brun, Marcel; Ballarin, Virginia Laura
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Several current research projects are focused on the creation of haplotype maps to identify and describe common genetic variation in some species. Studies on haplotype maps are key in understanding how natural selection has produced genomic differences between subspecies of a given species. Important insight can be obtained by determining which variations in the genotype are associated with important phenotypical differences between individuals. Pattern recognition theory and machine learning techniques are useful tools to reveal this connection from a large amount of data provided by haplotype maps. In this work, we applied discrete classifiers and feature selection techniques for the prediction of cattle coat color from genotypes. We compared the performance of different classification rules and showed the feasibility of this approach for the prediction of phenotype based on genotype.
Fil: Benalcazar Palacios, Marco Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación. Guayaquil; Ecuador
Fil: Pagnuco, Inti Anabela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Fil: Comas, Diego Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Fil: Corva, Pablo Marcelo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Meschino, Gustavo Javier. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Eléctrica. Laboratorio de Bioingeniería; Argentina
Fil: Brun, Marcel. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Fil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Materia
Genotype
Single Nucleotide Polymorphism
Pattern Recognition
Coat Color
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/35261
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition MethodsBenalcazar Palacios, Marco EnriquePagnuco, Inti AnabelaComas, Diego SebastiánCorva, Pablo MarceloMeschino, Gustavo JavierBrun, MarcelBallarin, Virginia LauraGenotypeSingle Nucleotide PolymorphismPattern RecognitionCoat Colorhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Several current research projects are focused on the creation of haplotype maps to identify and describe common genetic variation in some species. Studies on haplotype maps are key in understanding how natural selection has produced genomic differences between subspecies of a given species. Important insight can be obtained by determining which variations in the genotype are associated with important phenotypical differences between individuals. Pattern recognition theory and machine learning techniques are useful tools to reveal this connection from a large amount of data provided by haplotype maps. In this work, we applied discrete classifiers and feature selection techniques for the prediction of cattle coat color from genotypes. We compared the performance of different classification rules and showed the feasibility of this approach for the prediction of phenotype based on genotype.Fil: Benalcazar Palacios, Marco Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación. Guayaquil; EcuadorFil: Pagnuco, Inti Anabela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; ArgentinaFil: Comas, Diego Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; ArgentinaFil: Corva, Pablo Marcelo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Meschino, Gustavo Javier. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Eléctrica. Laboratorio de Bioingeniería; ArgentinaFil: Brun, Marcel. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; ArgentinaFil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; ArgentinaInternational Federation for Medical & Biological Engineering2014-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/35261Benalcazar Palacios, Marco Enrique; Pagnuco, Inti Anabela; Comas, Diego Sebastián; Corva, Pablo Marcelo; Meschino, Gustavo Javier; et al.; Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods; International Federation for Medical & Biological Engineering; Ifmbe Proceedings; 2014; 10-2014; 671-6741680-0737CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-13117-7_171info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007%2F978-3-319-13117-7_171info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-29T12:15:55Zoai:ri.conicet.gov.ar:11336/35261instacron: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:34982025-10-29 12:15:56.08CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods
title Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods
spellingShingle Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods
Benalcazar Palacios, Marco Enrique
Genotype
Single Nucleotide Polymorphism
Pattern Recognition
Coat Color
title_short Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods
title_full Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods
title_fullStr Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods
title_full_unstemmed Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods
title_sort Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods
dc.creator.none.fl_str_mv Benalcazar Palacios, Marco Enrique
Pagnuco, Inti Anabela
Comas, Diego Sebastián
Corva, Pablo Marcelo
Meschino, Gustavo Javier
Brun, Marcel
Ballarin, Virginia Laura
author Benalcazar Palacios, Marco Enrique
author_facet Benalcazar Palacios, Marco Enrique
Pagnuco, Inti Anabela
Comas, Diego Sebastián
Corva, Pablo Marcelo
Meschino, Gustavo Javier
Brun, Marcel
Ballarin, Virginia Laura
author_role author
author2 Pagnuco, Inti Anabela
Comas, Diego Sebastián
Corva, Pablo Marcelo
Meschino, Gustavo Javier
Brun, Marcel
Ballarin, Virginia Laura
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Genotype
Single Nucleotide Polymorphism
Pattern Recognition
Coat Color
topic Genotype
Single Nucleotide Polymorphism
Pattern Recognition
Coat Color
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Several current research projects are focused on the creation of haplotype maps to identify and describe common genetic variation in some species. Studies on haplotype maps are key in understanding how natural selection has produced genomic differences between subspecies of a given species. Important insight can be obtained by determining which variations in the genotype are associated with important phenotypical differences between individuals. Pattern recognition theory and machine learning techniques are useful tools to reveal this connection from a large amount of data provided by haplotype maps. In this work, we applied discrete classifiers and feature selection techniques for the prediction of cattle coat color from genotypes. We compared the performance of different classification rules and showed the feasibility of this approach for the prediction of phenotype based on genotype.
Fil: Benalcazar Palacios, Marco Enrique. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación. Guayaquil; Ecuador
Fil: Pagnuco, Inti Anabela. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Fil: Comas, Diego Sebastián. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Fil: Corva, Pablo Marcelo. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina
Fil: Meschino, Gustavo Javier. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Ingeniería Eléctrica. Laboratorio de Bioingeniería; Argentina
Fil: Brun, Marcel. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Fil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
description Several current research projects are focused on the creation of haplotype maps to identify and describe common genetic variation in some species. Studies on haplotype maps are key in understanding how natural selection has produced genomic differences between subspecies of a given species. Important insight can be obtained by determining which variations in the genotype are associated with important phenotypical differences between individuals. Pattern recognition theory and machine learning techniques are useful tools to reveal this connection from a large amount of data provided by haplotype maps. In this work, we applied discrete classifiers and feature selection techniques for the prediction of cattle coat color from genotypes. We compared the performance of different classification rules and showed the feasibility of this approach for the prediction of phenotype based on genotype.
publishDate 2014
dc.date.none.fl_str_mv 2014-10
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/11336/35261
Benalcazar Palacios, Marco Enrique; Pagnuco, Inti Anabela; Comas, Diego Sebastián; Corva, Pablo Marcelo; Meschino, Gustavo Javier; et al.; Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods; International Federation for Medical & Biological Engineering; Ifmbe Proceedings; 2014; 10-2014; 671-674
1680-0737
CONICET Digital
CONICET
url http://hdl.handle.net/11336/35261
identifier_str_mv Benalcazar Palacios, Marco Enrique; Pagnuco, Inti Anabela; Comas, Diego Sebastián; Corva, Pablo Marcelo; Meschino, Gustavo Javier; et al.; Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods; International Federation for Medical & Biological Engineering; Ifmbe Proceedings; 2014; 10-2014; 671-674
1680-0737
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-13117-7_171
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007%2F978-3-319-13117-7_171
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
dc.publisher.none.fl_str_mv International Federation for Medical & Biological Engineering
publisher.none.fl_str_mv International Federation for Medical & Biological Engineering
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
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
_version_ 1847427025191567360
score 13.10058

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