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Table 2 Results (AUROCs%, AUPRs%) of different methods on simulation data II, two real-world model organism data sets and three lung cancer data sets GSE32863, GSE10072, GSE7670. Best values for each data set are in bold

From: Globally learning gene regulatory networks based on hidden atomic regulators from transcriptomic big data

Data sets GENIE3 CLR ARACNe-AP ARACNE dlGRN
Simulation data II 81.50, 28.36 74.34, 22.63 68.19, 15.59 75.72, 19.12 83.24, 24.39
E. coli 71.67, 2.11 58.72, 1.12 56.55, 0.61 61.66, 0.80 68.77, 1.69
S. cerevisiae 52.94, 0.31 52.43, 0.22 51.64, 0.02 53.01, 0.22 54.49, 0.41
GSE32863 52.67, 5.81 51.77, 5.52 51.09, 5.60 52.36, 5.73 54.84, 6.40
GSE10072 51.84, 5.54 51.51, 5.43 51.17, 5.42 51.28, 5.40 52.52, 5.93
GSE7670 53.17, 5.90 51.74, 5.58 51.64, 5.62 51.04, 5.58 53.59, 6.29