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Article

Microbiotyping the sinonasal microbiome

2019-02-14

Abstract excerpt

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 sinonasal ‘microbiotypes’ or ‘states’: the first is Corynebacterium -dominated, the second is Staphylococcus -domin...

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Identifiers and source

Literature Corpus work
80bd1b7b-515c-5117-8e26-025e365667a5
DOI
10.1101/549311
Open publication

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