Fig. 1
From: GeneSurrounder: network-based identification of disease genes in expression data
Overview of GeneSurrounder algorithm. The algorithm incorporates systems–level information, in the form of a network model of cellular interactions, with gene expression data to identify the genes that control disease–associated mechanisms. The algorithm than identifies “disruptive” genes by assessing the significance of the combined evidence that (1) a gene has a influence on others in the network and (2) that its influence is driving disease