Figure 2From: Accuracy improvement in protein complex prediction from protein interaction networks by refining cluster overlaps Accuracy change with different parameter settings for minCss on refining cluster overlaps from DIP data. These figures show how the average f-score of the clusters refined is affected by different parameter values of minCss. We used as input the preliminary clusters produced by (a) CFinder, (b) DPClus and (c) the modified entropy-based method. We varied the parameter values of minCov and minCons from 0.1 to 0.6. At low values of minCov and minCons, we have a low average f-score when minCss is lower than 0.3. As minCov and minCons increase, we have consistent average f-scores regardless of minCss values.Back to article page