kernInt: A Kernel Framework for Integrating Supervised and Unsupervised Analyses in Spatio-Temporal Metagenomic Datasets

The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation. In recent years, supervised learning (i.e., prediction of a phenotype of interest) from taxonomic abundances has become increasingly common in the...

Descripción completa

Detalles Bibliográficos
Autores principales: Ramon, Elies, Belanche-Muñoz, Lluís, Molist, Francesc, Quintanilla, Raquel, Perez-Enciso, Miguel, Ramayo-Caldas, Yuliaxis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876079/
https://www.ncbi.nlm.nih.gov/pubmed/33584612
http://dx.doi.org/10.3389/fmicb.2021.609048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876079/
https://www.ncbi.nlm.nih.gov/pubmed/33584612
http://dx.doi.org/10.3389/fmicb.2021.609048

Ejemplares similares