Beating Naive Bayes at Taxonomic Classification of 16S rRNA Gene Sequences

Beating Naive Bayes at Taxonomic Classification of 16S rRNA Gene Sequences

Naive Bayes classifiers (NBC) have dominated the field of taxonomic classification of amplicon sequences for over a decade. Apart from having runtime requirements that allow them to be trained and used on modest laptops, they have persistently provided class-topping classification accuracy. In this...

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Bibliographic Details
Main Authors: Michal Ziemski, Treepop Wisanwanichthan, Nicholas A. Bokulich, Benjamin D. Kaehler
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Microbiology
Subjects:
microbiome
metagenomics
marker-gene sequencing
taxonomic classification
machine learning
neural networks
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2021.644487/full

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https://www.frontiersin.org/articles/10.3389/fmicb.2021.644487/full

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