Performance determinants of unsupervised clustering methods for microbiome data
Abstract Background 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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2022-02-01
|
| Series: | Microbiome |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40168-021-01199-3 |