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Microbiomes without boundaries: cystic fibrosis ‘pulmotype’ classifications are dependent on algorithm choice and database size, and indicate continuous variation

2025-05-08

Abstract excerpt

A common response to microbiome sample variation is to use clustering algorithms to reduce complex and variable datasets to a smaller number of ‘types’ (e.g. enterotypes for gut samples, or pulmotypes for lung samples). In light of recent analyses showing distinct clustering solutions to in principle similar datasets, we examine the extent to which clustering solutions are dependent on researcher choices of algori...

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Literature Corpus work
5c53b95e-5b2a-5d8f-beb8-a0f8ef5e7769
DOI
10.1101/2025.05.07.25326893
Open publication

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Microbiomes without boundaries: cystic fibrosis ‘pulmotype’ classifications are dependent on algorithm choice and database size, and indicate continuous variationDOI 10.1101/2025.05.07.25326893
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