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Table 7 Comparison of performance of UEDAMAlignKnownComplex and UEDAMAlignCoach with respect to various values of parameter l and r on how well matching with known protein

From: Detecting conserved protein complexes using a dividing-and-matching algorithm and unequally lenient criteria for network comparison

Methods PC MPC MKC Recall Precision F-measure CR PM
Yeast-fly
  \(UEDAMAlignCoach\_l=2\_r=2\) 725 207 129 0.4259 0.2855 0.3419 0.3057 4
  \(UEDAMAlignCoach\_l=2\_r=3\) 762 214 144 0.4477 0.2808 0.3452 0.3078 4
  \(UEDAMAlignCoach\_l=3\_r=2\) 785 217 142 0.4493 0.2764 0.3423 0.3078 4
  \(UEDAMAlignCoach\_l=3\_r=3\) 785 218 144 0.4523 0.2777 0.3441 0.3078 4
  \(UEDAMAlignKnowComplex\_l=2\_r=2\) 148 145 172 0.3806 0.9797 0.5482 0.3432 45
  \(UEDAMAlignKnowComplex\_l=2\_r=3\) 149 146 173 0.3832 0.9799 0.5509 0.3453 46
  \(UEDAMAlignKnowComplex\_l=3\_r=2\) 148 145 172 0.3806 0.9797 0.5482 0.3432 45
  \(UEDAMAlignKnowComplex\_l=3\_r=3\) 149 146 173 0.3832 0.9799 0.5509 0.3453 46
Human-fly
 \(UEDAMAlignCoach\_l=2\_r=2\) 1,538 428 493 0.2765 0.2783 0.2774 0.2983 10
 \(UEDAMAlignCoach\_l=2\_r=3\) 1,420 410 474 0.2647 0.2887 0.2762 0.2963 9
 \(UEDAMAlignCoach\_l=3\_r=2\) 1,421 401 469 0.2595 0.2822 0.2704 0.2965 9
 \(UEDAMAlignCoach\_l=3\_r=3\) 1,430 406 473 0.2626 0.2839 0.2728 0.2965 9
 \(UEDAMAlignKnowComplex\_l=2\_r=2\) 515 508 821 0.3908 0.9864 0.5598 0.4242 158
 \(UEDAMAlignKnowComplex\_l=2\_r=3\) 521 514 826 0.3951 0.9866 0.5642 0.4269 158
 \(UEDAMAlignKnowComplex\_l=3\_r=2\) 522 515 827 0.3958 0.9866 0.5650 0.4270 158
 \(UEDAMAlignKnowComplex\_l=3\_r=3\) 524 517 829 0.3974 0.9866 0.5666 0.4274 158