Table 2. Performance of different algorithms for 5-way network alignment.
DMC | DMR | CG | |||||||
SPE | CN | MNE | SPE | CN | MNE | SPE | CN | MNE | |
SMETANA | 91.21 | 7299 | 6.94 | 91.55 | 7203 | 7.13 | 93.60 | 7359 | 5.51 |
IsoRankN | 80.91 | 5538 | 10.27 | 79.58 | 5496 | 11.14 | 82.68 | 5689 | 9.72 |
NBM | 85.17 | 1038 | 5.40 | 79.32 | 1182 | 6.81 | 84.62 | 1995 | 4.64 |
Græmlin 2.0 | 51.07 | 3028 | 16.32 | 50.88 | 3100 | 16.94 | 62.89 | 4451 | 13.19 |
SMETANA (only 5-species) | 89.07 | 4067 | 4.64 | 88.93 | 3712 | 4.43 | 92.17 | 3782 | 2.66 |
IsoRankN (only 5-species) | 69.67 | 1859 | 9.67 | 68.07 | 1610 | 10.26 | 73.83 | 2223 | 7.99 |
Græmlin 2.0 (only 5-species) | 35.90 | 1575 | 19.50 | 36.60 | 1581 | 20.29 | 54.44 | 2394 | 14.17 |
Performance comparison based on the 5-way alignment of five networks of size 1500, 2000, 2500, 3000 and 3000. The last three rows are obtained by considering only equivalence classes that contain at least one node from every species. The performance of each method is assessed using the following metrics: specificity (SP), number of correct nodes (CN), and mean normalized entropy (MNE). In each metrics, best performance is shown in bold.