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Biblioteca(s): |
Embrapa Pecuária Sul. |
Data corrente: |
18/06/2019 |
Data da última atualização: |
16/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FERREIRA, L. M.; SÁFADI, T.; FERREIRA, J. L. |
Afiliação: |
Leila Maria Ferreira, UFLA; Thelma Sáfadi, UFLA; JULIANO LINO FERREIRA, CPPSUL. |
Título: |
Wavelet-domain elastic net for clustering on genomes strains. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Genetics and Molecular Biology, v. 41, n. 4, p. 884-892, Oct./Dec. 2018. |
Idioma: |
Português |
Conteúdo: |
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. |
Thesagro: |
Análise Estatística; Bactéria Patogênica; Genética; Genoma; Linhagem; Micobactéria. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/198686/1/GMB-2018-0035-1.pdf
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Marc: |
LEADER 01300naa a2200217 a 4500 001 2109931 005 2019-12-16 008 2018 bl uuuu u00u1 u #d 100 1 $aFERREIRA, L. M. 245 $aWavelet-domain elastic net for clustering on genomes strains.$h[electronic resource] 260 $c2018 520 $aWe 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. 650 $aAnálise Estatística 650 $aBactéria Patogênica 650 $aGenética 650 $aGenoma 650 $aLinhagem 650 $aMicobactéria 700 1 $aSÁFADI, T. 700 1 $aFERREIRA, J. L. 773 $tGenetics and Molecular Biology$gv. 41, n. 4, p. 884-892, Oct./Dec. 2018.
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Embrapa Pecuária Sul (CPPSUL) |
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