Systematic Comparisons for Composition Profiles, Taxonomic Levels, and Machine Learning Methods for Microbiome-Based Disease Prediction

Microbiome composition profiles generated from 16S rRNA sequencing have been extensively studied for their usefulness in phenotype trait prediction, including for complex diseases such as diabetes and obesity. These microbiome compositions have typically been quantified in the form of Operational Ta...

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Detalles Bibliográficos
Autores principales: Song, Kuncheng, Wright, Fred A., Zhou, Yi-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Molecular Biosciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772236/
https://www.ncbi.nlm.nih.gov/pubmed/33392266
http://dx.doi.org/10.3389/fmolb.2020.610845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772236/
https://www.ncbi.nlm.nih.gov/pubmed/33392266
http://dx.doi.org/10.3389/fmolb.2020.610845

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