MEM is a web-based multi experiment gene expression query and visualization tool. It gathers thousands of publicly available gene expression data sets from ArrayExpress database. Different data sets feature different tissues, diseases and conditions.
Given a gene as an input, MEM ranks other genes by their similarity in each individual data set. The essence is a novel rank aggregation method that takes those individual rankings and comes up with a score of significance and hence a ranking across all datasets simultaneously.