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nonparametric prior over densities is introduced which is closed under sampling
and exhibits proper posterior asymptotics.
expression data are analyzed by means
of a Bayesian nonparametric model, with emphasis on prediction of future
observables, yielding a method for selection of differentially expressed
genes and the corresponding classifier.