From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification

BACKGROUND: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limited resolution for discrimination of bacteria at the species level. In this paper, we approach the species classification...

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Detalles Bibliográficos
Autores principales: Slabbinck, Bram, Waegeman, Willem, Dawyndt, Peter, De Vos, Paul, De Baets, Bernard
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828439/
https://www.ncbi.nlm.nih.gov/pubmed/20113515
http://dx.doi.org/10.1186/1471-2105-11-69

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2828439/
https://www.ncbi.nlm.nih.gov/pubmed/20113515
http://dx.doi.org/10.1186/1471-2105-11-69

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