DNC-MIX models the distribution of the gene expression profile of a test sample as a mixture, with each component characterizing the expression levels in a class, and assigns a class label to each test sample
PEER is a collection of Bayesian approaches to infer hidden determinants and their effects from gene expression profiles using factor analysis methods.
The Tclass system was developed for gene expression profile-based tumor classification. The results indicate that the number of genes for early detection of breast cancer is less than 10.