|Assessment result for the different methods applied to data sets generated in the stimulation study|
|Method||Data used||Network size||p-value of chi sq testa||TPR (%)b||# mis-class.c||TP|
|iBMA-prior||Generated data + prior probability matrix||14011||<1.00E-320||71.13||16029||9966|
|iBMA-shortlist||Generated data + prior probability matrix||30753||<1.00E-320||47.23||23652||14526|
|iBMA-size||Generated data only||9349||<1.00E-320||20.31||27503||1899|
|iBMA-noprior||Generated data only||29393||<1.00E-320||8.55||46317||2513|
a The p-value of Pearson’s chi-square test measures the strength of association between an inferred network and the true network for the simulation study.
b True positive rate (TPR) is defined as the proportion of correctly inferred regulatory relationships.
c The number of misclassified cases is the sum of false positives and false negatives.
Remark: The values reported in the table were averaged across the 20 replications. The true network for the simulation study contained a total of 21951 edges.
Lo et al.
Lo et al. BMC Systems Biology 2012 6:101 doi:10.1186/1752-0509-6-101