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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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Principais autores: George Armstrong, Cameron Martino, Gibraan Rahman, Antonio Gonzalez, Yoshiki Vázquez-Baeza, Gal Mishne, Rob Knight
Formato: Artigo
Idioma:Inglês
Publicado em: American Society for Microbiology 2021-10-01
coleção:mSystems
Assuntos:
beta diversity
dimensionality reduction
Acesso em linha:https://journals.asm.org/doi/10.1128/msystems.00691-21
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