TY - JOUR AU - Nguyen, Lan Huong AU - Holmes, Susan PY - 2017 DA - 2017/09/13 TI - Bayesian Unidimensional Scaling for visualizing uncertainty in high dimensional datasets with latent ordering of observations JO - BMC Bioinformatics SP - 394 VL - 18 IS - 10 AB - 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 generated from a continuous process, often unknown. Estimating data points’ ‘natural ordering’ and their corresponding uncertainties can help researchers draw insights about the mechanisms involved. SN - 1471-2105 UR - https://doi.org/10.1186/s12859-017-1790-x DO - 10.1186/s12859-017-1790-x ID - Nguyen2017 ER -