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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Bibliografiske detaljer
Udgivet i: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.
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Cellular and Infection Microbiology
Online adgang: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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