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Table 2 Comparison of different methods in terms of how well matching with known proteins

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
 UEDAMAlignCFinder (k = 4) 129 59 66 0.1471 0.4574 0.2226 0.1891 2
 UEDAMAlignCMC 128 58 73 0.1476 0.4531 0.2226 0.2068 0
 UEDAMAlignCoach 725 207 129 0.4259 0.2855 0.3419 0.3057 4
 UEDAMAlignknowncomplex 148 145 172 0.3806 0.9797 0.5482 0.3432 45
 UEDAMAlignMCL 862 159 137 0.3698 0.1845 0.2461 0.2401 9
 AlignMCL 915 151 162 0.3804 0.165 0.2302 0.2479 9
 Match-and-Split 27 12 20 0.03 0.4444 0.0562 0.0641 2
 Mawish 41 16 26 0.0402 0.3902 0.0729 0.0318 1
 NetworkBlast 179 9 10 0.0221 0.0503 0.0307 0.0391 0
 Produles 46 29 26 0.0706 0.6304 0.1269 0.0573 3
Human-fly
 UEDAMAlignCFinder (k = 4) 238 80 187 0.0531 0.3361 0.0917 0.106 3
 UEDAMAlignCMC 404 67 182 0.0447 0.1658 0.0705 0.1585 2
 UEDAMAlignCoach 1,538 428 493 0.2765 0.2783 0.2774 0.2983 10
 UEDAMAlignknowncomplex 515 508 821 0.3908 0.9864 0.5598 0.4242 158
 UEDAMAlignMCL 1,453 171 322 0.117 0.1177 0.1173 0.2008 9
 AlignMCL 1,094 144 305 0.0992 0.1316 0.1131 0.1697 7
 Match-and-Split 53 23 73 0.0147 0.434 0.0285 0.0558 3
 Mawish 61 28 70 0.0178 0.459 0.0343 0.0333 1
 NetworkBlast 164 45 107 0.029 0.2744 0.0525 0.0897 0
 Produles 99 35 77 0.0223 0.3535 0.0419 0.0461 5