Gene filtering with optimal threshold selection
- Autores
- Bau Macia, Josep; Sole Casals, Jordi; Caiafa, César Federico; Lew, Sergio Eduardo
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Gene filtering is a useful preprocessing technique often applied to microarray datasets. However, it is no common practice because clear guidelines are lacking and it bears the risk of excluding some potentially relevant genes. In this work, we propose to model microarray data as a mixture of two Gaussian distributions that will allow us to obtain an optimal filter threshold in terms of the gene expression level.
Fil: Bau Macia, Josep. Universidad de Vic; España
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: Lew, Sergio Eduardo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; Argentina
The Barcelona International Conference on Advances in Statistics
Barcelona
España
Universidad Autónoma de Barcelona - Materia
-
gene expression
gene filtering - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/152252
Ver los metadatos del registro completo
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Gene filtering with optimal threshold selectionBau Macia, JosepSole Casals, JordiCaiafa, César FedericoLew, Sergio Eduardogene expressiongene filteringhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Gene filtering is a useful preprocessing technique often applied to microarray datasets. However, it is no common practice because clear guidelines are lacking and it bears the risk of excluding some potentially relevant genes. In this work, we propose to model microarray data as a mixture of two Gaussian distributions that will allow us to obtain an optimal filter threshold in terms of the gene expression level.Fil: Bau Macia, Josep. Universidad de Vic; EspañaFil: 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: Lew, Sergio Eduardo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; ArgentinaThe Barcelona International Conference on Advances in StatisticsBarcelonaEspañaUniversidad Autónoma de BarcelonaUniversidad Autónoma de Barcelona2012info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectCongresoBookhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/152252Gene filtering with optimal threshold selection; The Barcelona International Conference on Advances in Statistics; Barcelona; España; 2012; 1-3CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://hdl.handle.net/10854/3238info:eu-repo/semantics/altIdentifier/url/http://hdl.handle.net/10854/3018Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:42:14Zoai:ri.conicet.gov.ar:11336/152252instacron: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:34982025-10-22 11:42:14.491CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Gene filtering with optimal threshold selection |
title |
Gene filtering with optimal threshold selection |
spellingShingle |
Gene filtering with optimal threshold selection Bau Macia, Josep gene expression gene filtering |
title_short |
Gene filtering with optimal threshold selection |
title_full |
Gene filtering with optimal threshold selection |
title_fullStr |
Gene filtering with optimal threshold selection |
title_full_unstemmed |
Gene filtering with optimal threshold selection |
title_sort |
Gene filtering with optimal threshold selection |
dc.creator.none.fl_str_mv |
Bau Macia, Josep Sole Casals, Jordi Caiafa, César Federico Lew, Sergio Eduardo |
author |
Bau Macia, Josep |
author_facet |
Bau Macia, Josep Sole Casals, Jordi Caiafa, César Federico Lew, Sergio Eduardo |
author_role |
author |
author2 |
Sole Casals, Jordi Caiafa, César Federico Lew, Sergio Eduardo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
gene expression gene filtering |
topic |
gene expression gene filtering |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Gene filtering is a useful preprocessing technique often applied to microarray datasets. However, it is no common practice because clear guidelines are lacking and it bears the risk of excluding some potentially relevant genes. In this work, we propose to model microarray data as a mixture of two Gaussian distributions that will allow us to obtain an optimal filter threshold in terms of the gene expression level. Fil: Bau Macia, Josep. Universidad de Vic; España 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: Lew, Sergio Eduardo. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Electronica; Argentina The Barcelona International Conference on Advances in Statistics Barcelona España Universidad Autónoma de Barcelona |
description |
Gene filtering is a useful preprocessing technique often applied to microarray datasets. However, it is no common practice because clear guidelines are lacking and it bears the risk of excluding some potentially relevant genes. In this work, we propose to model microarray data as a mixture of two Gaussian distributions that will allow us to obtain an optimal filter threshold in terms of the gene expression level. |
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 Congreso 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/11336/152252 Gene filtering with optimal threshold selection; The Barcelona International Conference on Advances in Statistics; Barcelona; España; 2012; 1-3 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/152252 |
identifier_str_mv |
Gene filtering with optimal threshold selection; The Barcelona International Conference on Advances in Statistics; Barcelona; España; 2012; 1-3 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://hdl.handle.net/10854/3238 info:eu-repo/semantics/altIdentifier/url/http://hdl.handle.net/10854/3018 |
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) |
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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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1846782107640135680 |
score |
12.982451 |