Table 1 AUC scores achieved by each modelling approach for each regulon in each organism
From: BINDER: computationally inferring a gene regulatory network for Mycobacterium abscessus
Model | fur (E. coli) | lexA (E. coli) | fur (B. subtilis) | lexA (B. subtilis) |
|---|---|---|---|---|
iRafNet | 0.725 | 0.829 | 0.694 | 0.819 |
Deterministic | 0.654 | 0.778 | 0.746 | 0.767 |
Non-auxiliary | 0.710 | 0.768 | 0.878 | 0.728 |
BINDER | 0.787 | 0.857 | 0.905 | 0.855 |
BINDER (all) | 0.880 | 0.888 | - | - |
BINDER (informative p(Ï•)) | 0.729 | - | - | - |