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.

Mora and Donaldson

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

Open Data