Wavelet-domain elastic net for clustering on genomes strains.

Detalhes bibliográficos
Autor(a) principal: FERREIRA, L. M.
Data de Publicação: 2018
Outros Autores: SÁFADI, T., FERREIRA, J. L.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1109931
Resumo: We propose to evaluate genome similarity by combining discrete non-decimated wavelet transform (NDWT) and elastic net. The wavelets represent a signal with levels of detail, that is, hidden components are detected by means of the decomposition of this signal, where each level provides a different characteristic. The main feature of the elastic net is the grouping of correlated variables where the number of predictors is greater than the number of observations. The combination of these two methodologies applied in the clustering analysis of the Mycobacterium tuberculosis genome strains proved very effective, being able to identify clusters at each level of decomposition.
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spelling Wavelet-domain elastic net for clustering on genomes strains.GenomaMicobactériaBactéria PatogênicaLinhagemGenéticaAnálise EstatísticaWe propose to evaluate genome similarity by combining discrete non-decimated wavelet transform (NDWT) and elastic net. The wavelets represent a signal with levels of detail, that is, hidden components are detected by means of the decomposition of this signal, where each level provides a different characteristic. The main feature of the elastic net is the grouping of correlated variables where the number of predictors is greater than the number of observations. The combination of these two methodologies applied in the clustering analysis of the Mycobacterium tuberculosis genome strains proved very effective, being able to identify clusters at each level of decomposition.Leila Maria Ferreira, UFLA; Thelma Sáfadi, UFLA; JULIANO LINO FERREIRA, CPPSUL.FERREIRA, L. M.SÁFADI, T.FERREIRA, J. L.2019-06-19T01:16:02Z2019-06-19T01:16:02Z2019-06-1820182019-12-16T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Biology, v. 41, n. 4, p. 884-892, Oct./Dec. 2018.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1109931porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-06-19T01:16:09Zoai:www.alice.cnptia.embrapa.br:doc/1109931Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-06-19T01:16:09falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-06-19T01:16:09Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Wavelet-domain elastic net for clustering on genomes strains.
title Wavelet-domain elastic net for clustering on genomes strains.
spellingShingle Wavelet-domain elastic net for clustering on genomes strains.
FERREIRA, L. M.
Genoma
Micobactéria
Bactéria Patogênica
Linhagem
Genética
Análise Estatística
title_short Wavelet-domain elastic net for clustering on genomes strains.
title_full Wavelet-domain elastic net for clustering on genomes strains.
title_fullStr Wavelet-domain elastic net for clustering on genomes strains.
title_full_unstemmed Wavelet-domain elastic net for clustering on genomes strains.
title_sort Wavelet-domain elastic net for clustering on genomes strains.
author FERREIRA, L. M.
author_facet FERREIRA, L. M.
SÁFADI, T.
FERREIRA, J. L.
author_role author
author2 SÁFADI, T.
FERREIRA, J. L.
author2_role author
author
dc.contributor.none.fl_str_mv Leila Maria Ferreira, UFLA; Thelma Sáfadi, UFLA; JULIANO LINO FERREIRA, CPPSUL.
dc.contributor.author.fl_str_mv FERREIRA, L. M.
SÁFADI, T.
FERREIRA, J. L.
dc.subject.por.fl_str_mv Genoma
Micobactéria
Bactéria Patogênica
Linhagem
Genética
Análise Estatística
topic Genoma
Micobactéria
Bactéria Patogênica
Linhagem
Genética
Análise Estatística
description We propose to evaluate genome similarity by combining discrete non-decimated wavelet transform (NDWT) and elastic net. The wavelets represent a signal with levels of detail, that is, hidden components are detected by means of the decomposition of this signal, where each level provides a different characteristic. The main feature of the elastic net is the grouping of correlated variables where the number of predictors is greater than the number of observations. The combination of these two methodologies applied in the clustering analysis of the Mycobacterium tuberculosis genome strains proved very effective, being able to identify clusters at each level of decomposition.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019-06-19T01:16:02Z
2019-06-19T01:16:02Z
2019-06-18
2019-12-16T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Genetics and Molecular Biology, v. 41, n. 4, p. 884-892, Oct./Dec. 2018.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1109931
identifier_str_mv Genetics and Molecular Biology, v. 41, n. 4, p. 884-892, Oct./Dec. 2018.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1109931
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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