From: ENNET: inferring large gene regulatory networks from expression data using gradient boosting
Method | Network (AUPR/AUROC respectively) | Overall | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||||||
Experimental results | |||||||||||
ENNET | 0.604 | 0.893 | 0.456 | 0.856 | 0.421 | 0.865 | 0.506 | 0.878 | 0.264 | 0.828 | 87.738 |
Winner of the challenge | |||||||||||
Pinna et al. | 0.536 | 0.914 | 0.377 | 0.801 | 0.390 | 0.833 | 0.349 | 0.842 | 0.213 | 0.759 | 71.589 |
2nd | 0.512 | 0.908 | 0.396 | 0.797 | 0.380 | 0.829 | 0.372 | 0.844 | 0.178 | 0.763 | 71.297 |
3rd | 0.490 | 0.870 | 0.327 | 0.773 | 0.326 | 0.844 | 0.400 | 0.827 | 0.159 | 0.758 | 64.715 |