From: Inferring gene regulatory networks from asynchronous microarray data with AIRnet
Pre-discretized data for an in-silico regulatory network consisting of 5 genes | |||||||||
---|---|---|---|---|---|---|---|---|---|
 | wt | G1(-/-) | G2(-/-) | G3(-/-) | G4(-/-) | G5(-/-) | G6(-/-) | G7(-/-) | G8(-/-) |
G1 | 0.105 | 0.034 | 0.927 | 0.088 | 0.015 | 0.049 | 0.102 | 0.105 | 0.018 |
G2 | 0.877 | 0.804 | 0.000 | 0.864 | 0.870 | 0.981 | 0.837 | 0.873 | 0.797 |
G3 | 0.054 | 0.000 | 0.838 | 0.000 | 0.103 | 0.000 | 0.069 | 0.000 | 0.085 |
G4 | 0.386 | 0.310 | 0.611 | 0.243 | 0.083 | 0.432 | 0.440 | 0.394 | 0.364 |
G5 | 0.801 | 0.808 | 0.748 | 0.903 | 0.793 | 0.000 | 0.880 | 0.741 | 0.686 |
Post-discretized data for the same in-silico regulatory network consisting of 5 genes, k = 2. | |||||||||
 | wt | G1(-/-) | G2(-/-) | G3(-/-) | G4(-/-) | G5(-/-) | G6(-/-) | G7(-/-) | G8(-/-) |
G1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
G2 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 |
G3 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
G4 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 |
G5 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 |