Table 2. The impact of prior weight.
Prior weight | Number of prior edges | Selection probability per edge in one run+ | Probability of one prior edge remaining in final network by chance++ | Expected number of prior edges remaining in final network by chance | Number of prior edges remaining in final network | P-value |
---|---|---|---|---|---|---|
1 | 269 | 0.537 | 4.67E-15 | 1.26E-12 | 14 | 9.98E-178* |
2 | 122 | 0.735 | 3.85E-05 | 4.69E-03 | 4 | 1.92E-11* |
3 | 67 | 0.808 | 9.39E-03 | 6.29E-01 | 6 | 4.19E-05* |
4 | 42 | 0.834 | 4.53E-02 | 1.90 | 10 | 1.41E-05* |
5 | 20 | 0.844 | 7.53E-02 | 1.50 | 4 | 5.90E-02 |
6 | 16 | 0.848 | 8.99E-02 | 1.43 | 4 | 4.94E-02* |
7 | 6 | 0.849 | 9.59E-02 | 5.75E-01 | 0 | 1 |
> = 8 | 53 | ≈0.850 | ≈9.81E-02 | ≈5.20 | 8 | ≈1.44E-01 |
+ Selection probability per edge in one run = 0.85(1-e—prior weight).
++ Assuming the reliability cutoff is 90, which means one prior network should be appear at least 90 times out of 100 runs. The probability is calculated based on binomial distribution.
* Statistical significance (P-value <0.05).