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.
Guardado en:
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: | |
Acceso en línea: | https://doaj.org/article/4aff07456d2744cc93df541dfa1e36b0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Dimensionality reduction by UMAP to visualize physical and genetic interactions
por: Michael W. Dorrity, et al.
Publicado: (2020) -
Approximate Inertial Manifold-Based Model Reduction and Vibration Suppression for Rigid-Flexible Mechanical Arms
por: Lisha Xu, et al.
Publicado: (2021) -
Smell compounds classification using UMAP to increase knowledge of odors and molecular structures linkages.
por: Marylène Rugard, et al.
Publicado: (2021) -
Turning Participatory Microbiome Research into Usable Data: Lessons from the American Gut Project
por: Justine W. Debelius, et al.
Publicado: (2016) -
Clean room microbiome complexity impacts planetary protection bioburden
por: Ryan Hendrickson, et al.
Publicado: (2021)