Fig. 2From: SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inferenceA The performance index, AUROC, of SRGS and each compared GRN method tested on DREAM3 datasets. The DREAM3 datasets contain three different gene sizes (10, 50 and 100) and five gold-standard networks (Ecoli1, Ecoli2, Yeast1, Yeast2, and Yeast3). B The mean and standard deviation of AUROC of each GRN method across all gene sizes, sample sizes and networks shown in (A). The benchmarking methods are GENIE3, ARACNE, CLR, MRNET, PIDC, PPCOR, BoolNet, and bnlearnBack to article page