Wavelet-domain elastic net for clustering on genomes strains.
Wavelet-domain elastic net for clustering on genomes strains.
Author(s): FERREIRA, L. M.; SÁFADI, T.; FERREIRA, J. L.
Summary: 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.
Publication year: 2018
Types of publication: Journal article
Keywords: Análise Estatística, Bactéria Patogênica, Genoma, Genética, Linhagem, Micobactéria
Observation
Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.
Access other publications
Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.