Microbiotyping the Sinonasal Microbiome

This study offers a novel description of the sinonasal microbiome, through an unsupervised machine learning approach combining dimensionality reduction and clustering. We apply our method to the International Sinonasal Microbiome Study (ISMS) dataset of 410 sinus swab samples. We propose three main...

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Detalhes bibliográficos
Publicado no:Front Cell Infect Microbiol
Main Authors: Bassiouni, Ahmed, Paramasivan, Sathish, Shiffer, Arron, Dillon, Matthew R., Cope, Emily K., Cooksley, Clare, Ramezanpour, Mahnaz, Moraitis, Sophia, Ali, Mohammad Javed, Bleier, Benjamin S., Callejas, Claudio, Cornet, Marjolein E., Douglas, Richard G., Dutra, Daniel, Georgalas, Christos, Harvey, Richard J., Hwang, Peter H., Luong, Amber U., Schlosser, Rodney J., Tantilipikorn, Pongsakorn, Tewfik, Marc A., Vreugde, Sarah, Wormald, Peter-John, Caporaso, J. Gregory, Psaltis, Alkis J.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020
Assuntos:
Cellular and Infection Microbiology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7156599/
https://ncbi.nlm.nih.gov/pubmed/32322561
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fcimb.2020.00137
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