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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2017
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| 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 |