Table 2.
(Top) Statistics of the six S. cerevisiae regulatory networks used in this work (TF stands for Transcription Factor, TG for Target Gene).
Regulatory network | Evidence type | # Nodes | # Interactions | # TFs | # TGs | % Possible interactions |
---|---|---|---|---|---|---|
Costanzo et al.24 | B | 688 | 1079 | 131 | 592 | 1.20 |
Balaji et al.17 | B | 4441 | 12,871 | 159 | 4408 | 1.82 |
YEASTRACT15 | B|E | 6886 | 195,470 | 220 | 6886 | 12.90 |
YEASTRACT15 | E | 6711 | 161,747 | 215 | 6711 | 11.21 |
YEASTRACT15 | B | 6478 | 45,209 | 176 | 6475 | 3.97 |
YEASTRACT15 | B&E | 3937 | 11,486 | 152 | 3912 | 1.92 |
Network intersection | # Interactions | % Balaji | % YEASTRACT B | % YEASTRACT B&E | ||
---|---|---|---|---|---|---|
Balaji YEASTRACT B | 10,909 | 84.76 | 24.26 | – | ||
Balaji YEASTRACT B&E | 3359 | 26.1 | – | 29.24 |
Each network is defined by a specific dataset, which is related to particular supporting evidence. The last column indicates the proportion of actual interactions out of the possible interactions. For example, for the YEASTRACT B&E network, there are such possible interactions, corresponding to the 152 identified TFs regulating all the 3937 TFs and TGs. (Bottom) Percentages of interaction overlaps of Balaji et al. with YEASTRACT B and with B&E networks.