|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.
Mora and Donaldson
Mora and Donaldson BMC Bioinformatics 2012 13:294 doi:10.1186/1471-2105-13-294