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. 2020 Oct 20;10:17744. doi: 10.1038/s41598-020-74043-7

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 152×3937=598,424 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.