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

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

<p>Abstract</p> <p>Background</p> <p>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....

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Bibliographic Details
Main Authors: Dawyndt Peter, Waegeman Willem, Slabbinck Bram, De Vos Paul, De Baets Bernard
Format: Article
Language:English
Published: BMC 2010-01-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/11/69

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