Bayesian Unidimensional Scaling for visualizing uncertainty in high dimensional datasets with latent ordering of observations

BACKGROUND: Detecting patterns in high-dimensional multivariate datasets is non-trivial. Clustering and dimensionality reduction techniques often help in discerning inherent structures. In biological datasets such as microbial community composition or gene expression data, observations can be genera...

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Detalles Bibliográficos
Autores principales: Nguyen, Lan Huong, Holmes, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606221/
https://www.ncbi.nlm.nih.gov/pubmed/28929970
http://dx.doi.org/10.1186/s12859-017-1790-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606221/
https://www.ncbi.nlm.nih.gov/pubmed/28929970
http://dx.doi.org/10.1186/s12859-017-1790-x

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