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

UMAP provides an additional method to visualize microbiome data. The method is extensible to any beta diversity metric used with PCoA, and our results demonstrate that UMAP can indeed improve visualization quality and correspondence with biological and technical variables of interest.

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Autores principales:	George Armstrong, Cameron Martino, Gibraan Rahman, Antonio Gonzalez, Yoshiki Vázquez-Baeza, Gal Mishne, Rob Knight
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2021
Materias:	Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/4aff07456d2744cc93df541dfa1e36b0
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spelling	oai:doaj.org-article:4aff07456d2744cc93df541dfa1e36b02021-12-02T17:48:14ZUniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data2379-507710.1128/mSystems.00691-21https://doaj.org/article/4aff07456d2744cc93df541dfa1e36b02021-10-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mSystems.00691-21https://doaj.org/toc/2379-5077 UMAP provides an additional method to visualize microbiome data. The method is extensible to any beta diversity metric used with PCoA, and our results demonstrate that UMAP can indeed improve visualization quality and correspondence with biological and technical variables of interest.George ArmstrongCameron MartinoGibraan RahmanAntonio GonzalezYoshiki Vázquez-BaezaGal MishneRob KnightAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmSystems, Vol 6, Iss 5 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbiology QR1-502
spellingShingle	Microbiology QR1-502 George Armstrong Cameron Martino Gibraan Rahman Antonio Gonzalez Yoshiki Vázquez-Baeza Gal Mishne Rob Knight Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data
description	UMAP provides an additional method to visualize microbiome data. The method is extensible to any beta diversity metric used with PCoA, and our results demonstrate that UMAP can indeed improve visualization quality and correspondence with biological and technical variables of interest.
format	article
author	George Armstrong Cameron Martino Gibraan Rahman Antonio Gonzalez Yoshiki Vázquez-Baeza Gal Mishne Rob Knight
author_facet	George Armstrong Cameron Martino Gibraan Rahman Antonio Gonzalez Yoshiki Vázquez-Baeza Gal Mishne Rob Knight
author_sort	George Armstrong
title	Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data
title_short	Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data
title_full	Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data
title_fullStr	Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data
title_full_unstemmed	Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data
title_sort	uniform manifold approximation and projection (umap) reveals composite patterns and resolves visualization artifacts in microbiome data
publisher	American Society for Microbiology
publishDate	2021
url	https://doaj.org/article/4aff07456d2744cc93df541dfa1e36b0
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Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data

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