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

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

Abstract 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 b...

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Bibliographic Details
Main Authors: Lan Huong Nguyen, Susan Holmes
Format: Article
Language:English
Published: BMC 2017-09-01
Series:BMC Bioinformatics
Subjects:
Bayesian model
Ordering
Uncertainty
Pseudotime
Dimensionality reduction
Microbiome
Online Access:http://link.springer.com/article/10.1186/s12859-017-1790-x

Internet

http://link.springer.com/article/10.1186/s12859-017-1790-x

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