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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Autori principali:	George Armstrong, Cameron Martino, Gibraan Rahman, Antonio Gonzalez, Yoshiki Vázquez-Baeza, Gal Mishne, Rob Knight
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	American Society for Microbiology 2021-10-01
Serie:	mSystems
Soggetti:	beta diversity dimensionality reduction
Accesso online:	https://journals.asm.org/doi/10.1128/msystems.00691-21
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