Results of the inference algorithm applied to E. coli network with a compendium of 61 experiments not globally coherent. The dark and light regions of the bars correspond to false positive and validated predictions, respectively. Without filtering, there are 28.3% of false positives. With filtering – keeping only the sign predictions confirmed by k different experiments – the rate of false positives decreases to 2.5%.
Veber et al. BMC Bioinformatics 2008 9:228 doi:10.1186/1471-2105-9-228