Host phenotype classification from human microbiome data is mainly driven by the presence of microbial taxa

Machine learning-based classification approaches are widely used to predict host phenotypes from microbiome data. Classifiers are typically employed by considering operational taxonomic units or relative abundance profiles as input features. Such types of data are intrinsically sparse, which opens t...

Descripción completa

Detalles Bibliográficos
Autores principales: Giliberti, Renato, Cavaliere, Sara, Mauriello, Italia Elisa, Ercolini, Danilo, Pasolli, Edoardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9064115/
https://www.ncbi.nlm.nih.gov/pubmed/35446845
http://dx.doi.org/10.1371/journal.pcbi.1010066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9064115/
https://www.ncbi.nlm.nih.gov/pubmed/35446845
http://dx.doi.org/10.1371/journal.pcbi.1010066

Ejemplares similares