Table 6.
Average change in degree for drug targets and non-drug targets after removing lower-confidence interactions
Data sets | Avg degree change (drug targets) | Avg degree change (non-drug targets) | Wilcoxon p-value |
---|---|---|---|
Full to non- predicted |
−5.2 |
−2.7 |
3.7e-34 |
Full to B |
−6.2 |
−4.9 |
9.3e-13 |
Full to LTP | −10.3 | −9.7 | 0.5 |
After generating the true-binary (B) network, drug targets lose 6.2 edges on average compared to their degree in the full PIN. At the same time, non-drug targets lose 4.9 edges. This difference is statistically significant (p-value = 9.3e-13) for the two first cases, therefore we conclude that removal of lower-confidence data preferentially decreases the degree of drug targets rather than non-drug targets.