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A subset of articial intelligence methods which 'learn' through training on real-world data sets. The model is then tested on a 'test' data set and initially assessed through an accuracy measure. The approach is specifically termed 'supervised learning'.

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3 answers
300 views

16S species-level taxonomic assignment--what is the current state of the art?

We currently use DADA2 for picking ASVs and the assignTaxonomy funciton for assingment to genera. Google does bring up various recent articles on species-level assignment with 16S. Does anyone have …
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