Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/59309
Título: Transformada de wavelet discreta não decimada para o agrupamento de genomas de vírus das famílias coronaviridae e paramyxoviridae
Título(s) alternativo(s): Undecimated discrete wavelet transform for the clustering of virus genomes of the coronaviridae and paramyxoviridae families
Autores: Sáfadi, Thelma
Ferreira, Leila Maria
Guimarães, Paulo Henrique Sales
Alencar, Airlane Pereira
Herval , Ana Paula Festucci de
Palavras-chave: Transformada de Wavelet
Genomas virais
Agrupamento de dados
Coronaviridae
Paramyxoviridae
Vírus
Análise de dados genômicos
Viroses respiratórias
Wavelet Transform
Viral Genomes
Data Clustering
Viruses
Genomic data analysis
Data do documento: 31-Ago-2023
Editor: Universidade Federal de Lavras
Citação: ERNESTO, Dulcídia Carlos Guezimane. Transformada de wavelet discreta não decimada para o agrupamento de genomas de vírus das famílias coronaviridae e paramyxoviridae. 2024. 111p. Tese (Doutorado em Estatística e Experimentação Agropecuária) - Universidade Federal de Lavras, 2023.
Resumo: This work aimed to implement two forms of analysis of sequence similarities of two virus families, under the wavelet domain. Wavelets are commonly used when working with an extensive non-stationary database. The wavelet transform technique works with data in real time, and allows the time series to be decomposed into levels, thus allowing at each level of decomposition to increase the level of detail in the series, and thus observe details omissions, which cannot be observed in the original series. After decomposing the GC content of each of the sequences under study, two different forms of grouping were implemented in order to verify sequences with some level of similarity. Cluster analysis was carried out using penalized regression in the domain of lasso, ridge and elastic net penalties, and on the other hand, we also used the Hurst exponent implemented through 5 different techniques, namely: peng method, R analysis /S, aggregate variance, differentiated aggregate variance and by the method of absolute moments. At the end of the study, it can be concluded that weaker variants of the Coronaviridae family are associated with strains of the Paramyxoviridae family. And on the other hand, the elastic net (from the 1st to the 3rd level), the absolute moments method and the differentiated aggregate variance method performed better in relation to the other methodologies.
URI: http://repositorio.ufla.br/jspui/handle/1/59309
Aparece nas coleções:Estatística e Experimentação Agropecuária - Doutorado (Teses)



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