Identification of Enterobacter sakazakii from closely related species: The use of Artificial Neural Networks in the analysis of biochemical and 16S rDNA data

BACKGROUND: Enterobacter sakazakii is an emergent pathogen associated with ingestion of infant formula and accurate identification is important in both industrial and clinical settings. Bacterial species can be difficult to accurately characterise from complex biochemical datasets and computer algor...

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Detalles Bibliográficos
Autores principales: Iversen, Carol, Lancashire, Lee, Waddington, Michael, Forsythe, Stephen, Ball, Graham
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1421405/
https://www.ncbi.nlm.nih.gov/pubmed/16533390
http://dx.doi.org/10.1186/1471-2180-6-28

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1421405/
https://www.ncbi.nlm.nih.gov/pubmed/16533390
http://dx.doi.org/10.1186/1471-2180-6-28

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