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Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior

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A Bayesian clustering method for replicated time series or replicated measurements from multiple experimental conditions, e.g., time-course gene expression data. It estimates the number of clusters directly from the data using a Dirichlet-process prior. See Fu, A. Q., Russell, S., Bray, S. and Tavare, S. (2013) Bayesian clustering of replicated time-course gene expression data with weak signals. The Annals of Applied Statistics. 7(3) 1334-1361. doi:10.1214/13-AOAS650.

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Version 1.1.0
Published 2023-09-07 223 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Audrey Q. Fu

audreyqyfu@gmail.com

Authors

Audrey Qiuyan Fu
Steven Russell
Sarah J. Bray
Simon Tavare

Material

Reference manual
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