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Table 1 Sequence constraints learned by BBNet and GBNet in the five simulated datasets

From: GBNet: Deciphering regulatory rules in the co-regulated genes using a Gibbs sampler enhanced Bayesian network approach

Perca Rankb BBNet GBNet
   BS Rules BS Rules
0.4 2,5 -130.49 1. Distance to TSS of M604:180
2. Presence of PAC
3. Presence of M599
-123.48 1. Distance to TSS of M604:140
2. Distance between RRPE and PAC:40
3. Distance to TSS of M599:160
4. Presence of M593
0.5 1,3 -120.03 1. Presence of PAC
2. Distance to TSS of M604:180
3. Presence of M599
-109.28 1. Distance to TSS of M604:200
2. Distance between RRPE and PAC:40
3. Distance to TSS of M599:480
0.6 1,3 -114.19 1. Presence of PAC
2. Distance to TSS of M604:180
3. Presence of RRPE
4. Presence of M599
-102.11 1. Distance between PAC and RRPE:40
2. Distance to TSS of M604:140
3. Distance between M604 and M599:500
0.7 1,2 -102.68 1. Presence of PAC
2. Presence of RRPE
3. Distance to TSS of M604:140
-91.18 1. Distance between PAC and RRPE:40
2. Distance to TSS of M604:140
0.8 1,2 -85.85 1. Presence of PAC
2. Presence of RRPE
3. Distance to TSS of M604:140
-70.1268 1. Distance between PAC and RRPE:40
2. Distance between M604 and M599:340
3. Distance to TSS of M604:140
  1. The MXXX are AlignACE motif matrices taken from [16].
  2. aThe percentage of sequences satisfying the spacing rule between PAC and RRPE motifs ranges from 0.4 to 0.8. bThe single motif ranks for PAC and RRPE in each dataset are also shown: the first is PAC and the second is RRPE.