Table 8 The linear fitting parameters \(\alpha\) and c for power-law distribution
From: ModularBoost: an efficient network inference algorithm based on module decomposition
DREAM5 | Network | \(\alpha\) | c |
|---|---|---|---|
E. coli | Gold standard | 1.225 | \(-\)2.064 |
ModularBoost | 1.466 | \(-\)0.956 | |
Ridge | 1.418 | \(-\)0.733 | |
Yeast | Gold standard | 1.226 | \(-\)2.381 |
ModularBoost | 1.397 | \(-\)0.940 | |
Ridge | 1.280 | \(-\)1.030 |