Figure 1
From: Detecting disease associated modules and prioritizing active genes based on high throughput data
Illustration of the effect of RegMOD. (A) shows the grid network where the red nodes represent the active module. (B) and (D) illustrate the active score surfaces before and after the processing of RegMOD respectively. (E) shows the active score surface obtained by RegMOD when the nodes represented by blue triangle are deleted. In the randomly generated network example, the recall-precision plot and box-plot of F-measure for RegMOD are shown in (C). In the edge-weighted case, the performance is significantly improved. The recall-precision plot and box-plot of F-measure for RegMOD are shown in (F).