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Table 4 Features in the child network selected for model inclusion using a dimensional-reduction screening procedure, with node 2 (selected automatically) as the root

From: A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems

Sample size Indices of features identified as significant Fraction of real features selected Fraction of noisy features selected
50 Real features: 3,4,5,6,7,8,9,12,14,15,20 58 % 2.5 %
Noisy features: 96,113,119,174,175
100 Real features: 1,4,5,6,7,8,9,11,12,14,15,20 63 % 0.5 %
Noisy features: 161
150 Real features: 3,4,5,6,7,8,9,11,12,14,15,20 63 % 2 %
Noisy features: 70,79,116,208
200 Real features: 3,4,5,6,7,8,9,11,12,14,15,20 63 % 1 %
Noisy features: 75,94
300 Real features: 3,4,5,6,7,8,9,10,11,12,14,15,20 68 % 3.5 %
Noisy features: 121,126,198,205,207,209,211
400 Real features: 1,3,4,5,6,7,8,9,10,11,12,14,15,20 74 % 2.5 %
Noisy features: 31,55,94,113,195
500 Real features: 1,3,4,5,6,7,8,9,10,11,12,13,14,15,19,20 84 % 3.5 %
Noisy features: 22,122,152,157,166,192,218