DIRECT
Bayesian Clustering of Multivariate Data Under the Dirichlet-Process Prior
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.
- Version1.1.0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/07/2023
Documentation
Team
Audrey Q. Fu
Audrey Qiuyan Fu, Steven Russell, Sarah J. Bray and Simon Tavare
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