Machine learning classification by fitting amplicon sequences to existing OTUs
ABSTRACT The ability to use 16S rRNA gene sequence data to train machine learning classification models offers the opportunity to diagnose patients based on the composition of their microbiome.In some applications, the taxonomic resolution that provides the best models may require Hat Bands the use of de novo operational taxonomic units (OTUs) whos