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Table 2 AUC-PR estimates of three models on nine sets of RAF data

From: Gene regulatory network inference based on a nonhomogeneous dynamic Bayesian network model with an improved Markov Monte Carlo sampling

Model

RAF data

data1

data2

data3

data4

data5

data6

data7

data8

data9

SSC-DBN

0.586

0.556

0.583

0.615

0.644

0.700

0.613

0.613

0.602

HMM-DBN

0.674

0.704

0.622

0.665

0.797

0.747

0.722

0.605

0.577

FC-DBN

0.732

0.749

0.689

0.695

0.826

0.761

0.765

0.621

0.656