PR and ROC curves for individual methods in the comparative analysis with DREAM5 data sets.

We used the L1L2,1, L2L2,1, their respective variants (i.e. L1L2,1G, and L2L2,1G), the winner of the challenge (i.e. GENIE3, ANOVerence and TIGRESS), and some of the most recent state-of-the-art approaches (i.e. PLSNET, ENNET, PORTIA, etePORTIA and D3GRN) to infer the regulatory networks of E. coli (left), S. cerevisiae (middle) and in silico (right). Shown in the upper and lower panels are respectively the precision-recall (PR) and receiver operating characteristic (ROC) curves.