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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