FIGURE 1 

A schematic diagram of the MNI method as applied to identify genetic mediators for non-recurrent primary and metastatic prostate cancer. In phase 1, microarray data obtained from a variety of cancer cell lines or patient tissue samples are used by the MNI algorithm to infer a model of regulatory interactions between genes (blue-filled circles indicate genes, arrows indicate regulatory influences). In phase 2, test condition expression data are filtered using the reconstructed network to distinguish the genes affected by a condition (red-filled circles) from the hundreds to thousands of genes that exhibit changes in expression. This procedure is applied to non-recurrent primary prostate cancer and metastatic prostate cancer samples to identify genetic mediators.