Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data
ABSTRACT Microbiome data are sparse and high dimensional, so effective visualization of these data requires dimensionality reduction. To date, the most commonly used method for dimensionality reduction in the microbiome is calculation of between-sample microbial differences (beta diversity), followe...
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| Huvudupphov: | , , , , , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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American Society for Microbiology
2021-10-01
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| Serie: | mSystems |
| Ämnen: | |
| Länkar: | https://journals.asm.org/doi/10.1128/msystems.00691-21 |
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