Article

Performance Determinants of Unsupervised Clustering Methods for Microbiome Data

2021-10-12

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> In microbiome data analysis, unsupervised clustering is often used to identify naturally occurring clusters, which can then be assessed for associations with characteristics of interest. In this work, we systematically compared beta diversity and clustering methods commonly used in microbiome analyses. We applied these to four published datasets where highly dis...

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Literature Corpus work: 3396a48b-4283-5536-888b-253ee5d0ba32
DOI: 10.21203/rs.3.rs-151018/v2

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