Class discovery from gene expression data

In this talk I will describe a class discovery method for microarray gene expression data. Based on a collection of gene expression profiles from different tissue samples, we search for binary class distinctions in the set of samples that show clear separation in the expression levels of specific subsets of genes. The analysis of data sets from cancer gene expression studies shows that the method can identify cancer types in an unsupervised fashion.