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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