Cargando…
Applications and Comparison of Dimensionality Reduction Methods for Microbiome Data
Dimensionality reduction techniques are a key component of most microbiome studies, providing both the ability to tractably visualize complex microbiome datasets and the starting point for additional, more formal, statistical analyses. In this review, we discuss the motivation for applying dimension...
Autores principales: | Armstrong, George, Rahman, Gibraan, Martino, Cameron, McDonald, Daniel, Gonzalez, Antonio, Mishne, Gal, Knight, Rob |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580878/ https://www.ncbi.nlm.nih.gov/pubmed/36304280 http://dx.doi.org/10.3389/fbinf.2022.821861 |
Ejemplares similares
-
Uniform Manifold Approximation and Projection (UMAP) Reveals Composite Patterns and Resolves Visualization Artifacts in Microbiome Data
por: Armstrong, George, et al.
Publicado: (2021) -
Absence of enterotypes in the human gut microbiomes reanalyzed with non-linear dimensionality reduction methods
por: Bulygin, Ivan, et al.
Publicado: (2023) -
Compositionally Aware Phylogenetic Beta-Diversity Measures Better Resolve Microbiomes Associated with Phenotype
por: Martino, Cameron, et al.
Publicado: (2022) -
Determination of Effect Sizes for Power Analysis for Microbiome Studies Using Large Microbiome Databases
por: Rahman, Gibraan, et al.
Publicado: (2023) -
Context-aware dimensionality reduction deconvolutes gut microbial community dynamics
por: Martino, Cameron, et al.
Publicado: (2020)