Table 2.
Summary of the statistics for the inferability of motifs
| measure/motif type | 1 | 2 | 3 | 4 | |
|---|---|---|---|---|---|
| Ecoli | #m | 33 | 59 | 549 | 7 |
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0.518 | 0.378 | 0.657 | 0.232 | |
![]() |
0.141 | 0.055 | 0.255 | 0.126 | |
| Yeast | #m | 40 | 171 | 446 | 10 |
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0.592 | 0.360 | 0.592 | 0.190 | |
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0.165 | 0.052 | 0.236 | 0.150 | |
| DAG | #m | 109 | 16 | 94 | 2 |
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0.637 | 0.416 | 0.675 | 0.233 | |
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0.178 | 0.087 | 0.217 | 0.204 | |
| RND | #m | 161 | 110 | 89 | 4 |
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0.5062 | 0.4229 | 0.5549 | 0.0836 | |
![]() |
0.143 | 0.083 | 0.163 | 0.045 | |
| SF | #m | 1363 | 792 | 940 | 258 |
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0.4160 | 0.3681 | 0.4893 | 0.0592 | |
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0.119 | 0.072 | 0.161 | 0.099 | |
Summary of motif statistics for all considered networks. #m is the number of motifs,
is the mean true reconstruction rate for a motif and σ (p) is its standard deviation. The sample size is for all cases 1000 except the Yeast network that has sample size 200. For all simulations the size of the ensemble was 300.
