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.