Table 3.
Græmlin 2.0 Groups Nodes into Modules with Higher Accuracy
|
Accuracy of local alignments | ||||||
|---|---|---|---|---|---|---|
| |
SNDB |
DIP |
||||
| |
eco/cce |
6-way |
sce/dme |
|||
| Sens | Spec | Sens | Spec | Sens | Spec | |
| NetworkBLAST | 0.33 | 0.64 | — | — | 0.14 | 0.52 |
| Ma WISh | 0.22 | 0.80 | — | — | 0.12 | 0.71 |
| Græmlin | 0.26 | 0.79 | 0.17 | 0.73 | 0.13 | 0.65 |
| Græmlin 2.0 | 0.33 | 0.78 | 0.32 | 0.71 | 0.21 | 0.72 |
As described in the text, we measured the sensitivity (Sens) and specificity (Spec) of local alignments produced by Græmlin 2.0, NetworkBLAST, MaWISh, and Græmlin on the DIP and the Stanford Network Database network datasets. Abbreviations are the same as in Table 1.