Fig. 1
From: EnsInfer: a simple ensemble approach to network inference outperforms any single method
A diagram showing how EnsInfer works (i) All level 1 network inference algorithms are executed using time-series expression data. (ii) Every level 1 inference method assigns confidence values to all possible edges in the network. All the outputs are then curated into a tabular form with each algorithm’s prediction as a feature column. (iii) The outputs of the level 1 inference methods are then used as input data for the level 2 ensemble model, which makes predictions of regulatory edges