Date:06 September 2019, Friday
Location:S16-03-04, Faculty of Science
Time:03:00PM to 04:00PM
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 violated. By incorporating environment-specific taxonomic abundance information, we demonstrate that species-level resolution is attainable. See https://doi.org/10.1101/406611.
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