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Table 1 Summary of the different gene regulatory networks used in 10 DREAM simulation experiments

From: EnsInfer: a simple ensemble approach to network inference outperforms any single method

Number of edges

10 minutes intervals

20 minutes intervals

25 minutes intervals

50 minutes intervals

100 minutes intervals

Best model in training

Best model in testing

Best model in training

Best model in testing

Best model in training

Best model in testing

Best model in training

Best model in testing

Best model in training

Best model in testing

125

SCRIBE

LEAP

OutPredict

Inferelator

OutPredict

GRISLI

OutPredict

OutPredict

OutPredict

OutPredict

119

OutPredict

OutPredict

Inferelator

Inferelator

Inferelator

OutPredict

OutPredict

OutPredict

OutPredict

Inferelator

166

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

OutPredict

Inferelator

389

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

OutPredict

551

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

176

Inferelator

LEAP

Inferelator

GRNVBEM

Inferelator

Inferelator

Inferelator

Inferelator

OutPredict

PIDC

249

Inferelator

GRNBoost

Inferelator

GRNBoost

Inferelator

Genie3

OutPredict

OutPredict

Inferelator

Inferelator

195

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

211

Inferelator

Inferelator

Inferelator

SCRIBE

Inferelator

Inferelator

Inferelator

Inferelator

OutPredict

Genie3

193

Genie3

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

Inferelator

OutPredict

Inferelator

  1. The best level 1 inference methods for five different time interval settings (measurements every 10 min, every 20 min, every 25 min, 50 min, 100 min) for the time-series. Often, the best model on the training set is also the best model on the test set. Qualitatively, when the intervals are shorter, differential equation style methods are best. When the intervals become larger, random forest methods are often superior