Figure 2
From: Identifying differentially regulated subnetworks from phosphoproteomic data
SubExtracor's performance on artificial data. Ten artificial data sets were generated to assess the prediction quality of SubExtractor. The top figures (2a and 2b) show the performance for varying σ
z
values and a fixed α of 1.0. The figures at the bottom (2c and 2d) depict the mean accuracy for varying α values ranging from 0.01 to 10 and a fixed σ
z
of 5.0. Nodes sampled with the background distribution (σ = 1) are the negatives, those coming from the distribution with σ = 5 are the positives. The FN rate is defined as 
, the FP rate as 
The overall prediction accuracy is 
. Error bars display the standard error of the mean over the ten generated data sets.