A machine learning framework to determine geolocations from metagenomic profiling

BACKGROUND: Studies on metagenomic data of environmental microbial samples found that microbial communities seem to be geolocation-specific, and the microbiome abundance profile can be a differentiating feature to identify samples’ geolocations. In this paper, we present a machine learning framework...

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Detalles Bibliográficos
Autores principales: Huang, Lihong, Xu, Canqiang, Yang, Wenxian, Yu, Rongshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682025/
https://www.ncbi.nlm.nih.gov/pubmed/33225966
http://dx.doi.org/10.1186/s13062-020-00278-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682025/
https://www.ncbi.nlm.nih.gov/pubmed/33225966
http://dx.doi.org/10.1186/s13062-020-00278-z

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