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>.
|Author||Audrey Qiuyan Fu, Steven Russell, Sarah J. Bray and Simon Tavare|
|Maintainer||Audrey Q. Fu <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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