From: A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks
Tested FP rate | Consensus BN size (#of edges) | % FPs added | Precision |
---|---|---|---|
A. Data Fusion Performance Results | |||
10% | 50 | 8% | 0.92 |
20% | 58 | 12% | 0.88 |
30% | 56 | 10% | 0.88 |
40% | 60 | 12% | 0.88 |
50% | 69 | 11% | 0.88 |
60% | 76 | 12% | 0.88 |
B. BANJO Performance Results | |||
10% | 69 | 60% | 0.41 |
20% | 69 | 60% | 0.41 |
30% | 69 | 60% | 0.41 |
40% | 69 | 40% | 0.59 |
50% | 69 | 40% | 0.59 |
60% | 69 | 60% | 0.41 |
C. ARACNe-AP Performance Results | |||
 | 1003 | 70% | 0.3 |