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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2017-09-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12859-017-1790-x |