Figure 2: The clustering effect that results from imposing a stick-breaking
prior on the gene and class- specific model parameters, θ_{il}. A matrix of
indicator variables is used to cluster the observed count data into a finite
number of groups, where the genes in each group share the same model
parameters. The number of clusters is not known a priori. The distribution
of weight mass among the various clusters in the model is determined by
parameter η. |