Species abundance information improves sequence taxonomy classification accuracy

Popular naive Bayes taxonomic classifiers for amplicon sequences assume that all species in the reference database are equally likely to be observed. We demonstrate that classification accuracy degrades linearly with the degree to which that assumption is violated, and in practice it is always viola...

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Detalles Bibliográficos
Autores principales: Kaehler, Benjamin D., Bokulich, Nicholas A., McDonald, Daniel, Knight, Rob, Caporaso, J. Gregory, Huttley, Gavin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6789115/
https://www.ncbi.nlm.nih.gov/pubmed/31604942
http://dx.doi.org/10.1038/s41467-019-12669-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6789115/
https://www.ncbi.nlm.nih.gov/pubmed/31604942
http://dx.doi.org/10.1038/s41467-019-12669-6

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