A copula-based method for synthetic microarray data generation

Autores
Lew, Sergio; Sole Casals, Jordi; Caiafa, César Federico; Bau Macia, Josep
Año de publicación
2012
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work, we propose a copula-based method to generate synthetic gene expression data that account for marginal and joint probability distributions features captured from real data. Our method allows us to implant significant genes in the synthetic dataset in a controlled manner, giving the possibility of testing new https://ri.conicet.gov.ar/admin/static/img/broom.pngdetection algorithms under more realistic environments.
Fil: Lew, Sergio. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; Argentina
Fil: Sole Casals, Jordi. Universidad de Vic; España
Fil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Bau Macia, Josep. Universidad de Vic; España
The Barcelona International Conference on Advances in Statistics
Barcelona
España
Universidad Autónoma de Barcelona
Materia
copulas
gene expression
microarray data
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:11336/150084
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/150084
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A copula-based method for synthetic microarray data generationLew, SergioSole Casals, JordiCaiafa, César FedericoBau Macia, Josepcopulasgene expressionmicroarray datahttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In this work, we propose a copula-based method to generate synthetic gene expression data that account for marginal and joint probability distributions features captured from real data. Our method allows us to implant significant genes in the synthetic dataset in a controlled manner, giving the possibility of testing new https://ri.conicet.gov.ar/admin/static/img/broom.pngdetection algorithms under more realistic environments.Fil: Lew, Sergio. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; ArgentinaFil: Sole Casals, Jordi. Universidad de Vic; EspañaFil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; ArgentinaFil: Bau Macia, Josep. Universidad de Vic; EspañaThe Barcelona International Conference on Advances in StatisticsBarcelonaEspañaUniversidad Autónoma de BarcelonaUniversidad Autónoma de BarcelonaZaiats, Vladimir2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectConferenciaBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/150084A copula-based method for synthetic microarray data generation; The Barcelona International Conference on Advances in Statistics; Barcelona; España; 2012; 1-3978-84-940081-5-3CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://dspace.uvic.cat/handle/10854/2858info:eu-repo/semantics/altIdentifier/url/http://dspace.uvic.cat/xmlui/handle/10854/3080Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:43:52Zoai:ri.conicet.gov.ar:11336/150084instacron: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:34982025-09-03 09:43:53.018CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A copula-based method for synthetic microarray data generation
title A copula-based method for synthetic microarray data generation
spellingShingle A copula-based method for synthetic microarray data generation
Lew, Sergio
copulas
gene expression
microarray data
title_short A copula-based method for synthetic microarray data generation
title_full A copula-based method for synthetic microarray data generation
title_fullStr A copula-based method for synthetic microarray data generation
title_full_unstemmed A copula-based method for synthetic microarray data generation
title_sort A copula-based method for synthetic microarray data generation
dc.creator.none.fl_str_mv Lew, Sergio
Sole Casals, Jordi
Caiafa, César Federico
Bau Macia, Josep
author Lew, Sergio
author_facet Lew, Sergio
Sole Casals, Jordi
Caiafa, César Federico
Bau Macia, Josep
author_role author
author2 Sole Casals, Jordi
Caiafa, César Federico
Bau Macia, Josep
author2_role author
author
author
dc.contributor.none.fl_str_mv Zaiats, Vladimir
dc.subject.none.fl_str_mv copulas
gene expression
microarray data
topic copulas
gene expression
microarray data
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this work, we propose a copula-based method to generate synthetic gene expression data that account for marginal and joint probability distributions features captured from real data. Our method allows us to implant significant genes in the synthetic dataset in a controlled manner, giving the possibility of testing new https://ri.conicet.gov.ar/admin/static/img/broom.pngdetection algorithms under more realistic environments.
Fil: Lew, Sergio. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; Argentina
Fil: Sole Casals, Jordi. Universidad de Vic; España
Fil: Caiafa, César Federico. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto Argentino de Radioastronomía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto Argentino de Radioastronomía; Argentina
Fil: Bau Macia, Josep. Universidad de Vic; España
The Barcelona International Conference on Advances in Statistics
Barcelona
España
Universidad Autónoma de Barcelona
description In this work, we propose a copula-based method to generate synthetic gene expression data that account for marginal and joint probability distributions features captured from real data. Our method allows us to implant significant genes in the synthetic dataset in a controlled manner, giving the possibility of testing new https://ri.conicet.gov.ar/admin/static/img/broom.pngdetection algorithms under more realistic environments.
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Conferencia
Book
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/150084
A copula-based method for synthetic microarray data generation; The Barcelona International Conference on Advances in Statistics; Barcelona; España; 2012; 1-3
978-84-940081-5-3
CONICET Digital
CONICET
url http://hdl.handle.net/11336/150084
identifier_str_mv A copula-based method for synthetic microarray data generation; The Barcelona International Conference on Advances in Statistics; Barcelona; España; 2012; 1-3
978-84-940081-5-3
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://dspace.uvic.cat/handle/10854/2858
info:eu-repo/semantics/altIdentifier/url/http://dspace.uvic.cat/xmlui/handle/10854/3080
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.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Universidad Autónoma de Barcelona
publisher.none.fl_str_mv Universidad Autónoma de Barcelona
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
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score 13.13397

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