Fig. 1
From: Netter: re-ranking gene network inference predictions using structural network properties
Overview of the re-ranking approach of Netter. A ranking of regulatory links sorted by decreasing confidence is assumed. This prediction can be obtained by an inference method of choice using any data source. In a first step, the top x links of the ranking are extracted. Netter will assign these links a new position, whereas the other links maintain their original ranks. The extracted ranking is awarded a cost and using simulated annealing the cost function is minimized several times, obtaining re-ranked lists in the progress which are then averaged to obtain the final output ranking. The cost function strikes a balance between modifying the original ranking to have better structural properties while remaining true to the original ranking