Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks

Detalhes bibliográficos
Autor(a) principal: Garg, A.
Data de Publicação: 2021
Outros Autores: Bari, L., Valera, M. A., Fernandez, E. I. [UNESP], Rocha, J. C. [UNESP], Quinonero, A., Dominguez, F., Meseguer, M.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/218305
Resumo: IVIRMA, Res Lab, Valencia, Spain
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spelling Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural NetworksIVIRMA, Res Lab, Valencia, SpainUniv Estadual Paulista UNESP, Fac Ciencias & Letras, Campus Assis, Sao Paulo, BrazilIVIRMA Fdn, Innovat, Valencia, SpainIVIRMA, IVF Lab, Valencia, SpainUniv Estadual Paulista UNESP, Fac Ciencias & Letras, Campus Assis, Sao Paulo, BrazilOxford Univ PressIVIRMAUniversidade Estadual Paulista (UNESP)IVIRMA FdnGarg, A.Bari, L.Valera, M. A.Fernandez, E. I. [UNESP]Rocha, J. C. [UNESP]Quinonero, A.Dominguez, F.Meseguer, M.2022-04-28T17:20:22Z2022-04-28T17:20:22Z2021-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject52-52Human Reproduction. Oxford: Oxford Univ Press, v. 36, p. 52-52, 2021.0268-1161http://hdl.handle.net/11449/218305WOS:000672766500106Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengHuman Reproductioninfo:eu-repo/semantics/openAccess2022-04-28T17:20:22Zoai:repositorio.unesp.br:11449/218305Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-28T17:20:22Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks
title Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks
spellingShingle Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks
Garg, A.
title_short Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks
title_full Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks
title_fullStr Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks
title_full_unstemmed Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks
title_sort Exploring non-invasive methods to predict Ploidy Status: Combination of blastocyst morphology image analysis and proteomic profiles by using Artificial Neural Networks
author Garg, A.
author_facet Garg, A.
Bari, L.
Valera, M. A.
Fernandez, E. I. [UNESP]
Rocha, J. C. [UNESP]
Quinonero, A.
Dominguez, F.
Meseguer, M.
author_role author
author2 Bari, L.
Valera, M. A.
Fernandez, E. I. [UNESP]
Rocha, J. C. [UNESP]
Quinonero, A.
Dominguez, F.
Meseguer, M.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv IVIRMA
Universidade Estadual Paulista (UNESP)
IVIRMA Fdn
dc.contributor.author.fl_str_mv Garg, A.
Bari, L.
Valera, M. A.
Fernandez, E. I. [UNESP]
Rocha, J. C. [UNESP]
Quinonero, A.
Dominguez, F.
Meseguer, M.
description IVIRMA, Res Lab, Valencia, Spain
publishDate 2021
dc.date.none.fl_str_mv 2021-07-01
2022-04-28T17:20:22Z
2022-04-28T17:20:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Human Reproduction. Oxford: Oxford Univ Press, v. 36, p. 52-52, 2021.
0268-1161
http://hdl.handle.net/11449/218305
WOS:000672766500106
identifier_str_mv Human Reproduction. Oxford: Oxford Univ Press, v. 36, p. 52-52, 2021.
0268-1161
WOS:000672766500106
url http://hdl.handle.net/11449/218305
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Human Reproduction
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 52-52
dc.publisher.none.fl_str_mv Oxford Univ Press
publisher.none.fl_str_mv Oxford Univ Press
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799965265272766464

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