Cargando…
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...
Autores principales: | Ziemski, Michal, Wisanwanichthan, Treepop, Bokulich, Nicholas A., Kaehler, Benjamin D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8249850/ https://www.ncbi.nlm.nih.gov/pubmed/34220738 http://dx.doi.org/10.3389/fmicb.2021.644487 |
Ejemplares similares
-
Measuring the microbiome: Best practices for developing and benchmarking microbiomics methods
por: Bokulich, Nicholas A., et al.
Publicado: (2020) -
NBC: the Naïve Bayes Classification tool webserver for taxonomic classification of metagenomic reads
por: Rosen, Gail L., et al.
Publicado: (2011) -
Data-Driven Modeling for Species-Level Taxonomic Assignment From 16S rRNA: Application to Human Microbiomes
por: Gwak, Ho-Jin, et al.
Publicado: (2020) -
Beyond Taxonomic Identification: Integration of Ecological Responses to a Soil Bacterial 16S rRNA Gene Database
por: Jones, Briony, et al.
Publicado: (2021) -
Selection of primers for optimal taxonomic classification of environmental 16S rRNA gene sequences
por: Soergel, David A W, et al.
Publicado: (2012)