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Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | DIRECT |
Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior |
Statements
7 September 2023
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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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expanded from: GPL (≥ 2) (English)
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Identifiers
27 September 2023
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