Making sense of gene-expression data

Large-scale gene-expression analysis aims to increase the depth of diagnostic and drug-effect profiling, and to accelerate the discovery of key biological processes for therapeutic targeting. Success hinges on the precision and scope of the measurements, and on the integration of computational tools for data mining, visualization and modeling. The ultimate objective is to discover key molecular connections in a disease process by reverse engineering signaling networks from their activity profiles.