Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data

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), followed by prin...

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Detalles Bibliográficos
Autores principales: Armstrong, George, Martino, Cameron, Rahman, Gibraan, Gonzalez, Antonio, Vázquez-Baeza, Yoshiki, Mishne, Gal, Knight, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Observation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547469/
https://www.ncbi.nlm.nih.gov/pubmed/34609167
http://dx.doi.org/10.1128/mSystems.00691-21

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547469/
https://www.ncbi.nlm.nih.gov/pubmed/34609167
http://dx.doi.org/10.1128/mSystems.00691-21

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