Skip to main content

Table 7 Precision and recall values after removing highly overlapping clusters.

From: Protein complex prediction based on k-connected subgraphs in protein interaction network

    APC MPC
Method Data Set No. of Cluster Recall/Prec/F-measure Recall/Prec/F-measure
CFA (1) 238 0.822 0.277 0.415 0.170 0.378 0.235
CMC (1) 208 0.741 0.235 0.358 0.145 0.322 0.200
MCL (1) 467 0.790 0.113 0.199 0.147 0.164 0.155
PCP (1) 230 0.758 0.226 0.348 0.133 0.282 0.181
RNSC (1) 186 0.809 0.274 0.409 0.150 0.365 0.213
CFA (2) 164 0.924 0.390 0.549 0.250 0.530 0.340
CMC (2) 197 0.924 0.274 0.423 0.214 0.355 0.267
MCL (2) 191 0.905 0.272 0.419 0.221 0.356 0.272
PCP (2) 144 0.811 0.319 0.458 0.214 0.416 0.283
RNSC (2) 152 0.924 0.348 0.506 0.205 0.263 0.230
CFA (3) 124 0.907 0.475 0.624 0.250 0.564 0.347
CMC (3) 122 0.500 0.237 0.322 0.123 0.295 0.173
MCL (3) 215 0.851 0.237 0.371 0.248 0.395 0.305
PCP (3) 82 0.481 0.487 0.485 0.116 0.365 0.176
RNSC (3) 90 0.425 0.255 0.320 0.120 0.377 0.183
CFA (4) 169 0.767 0.337 0.469 0.180 0.455 0.258
CMC (4) 120 0.714 0.341 0.462 0.158 0.450 0.234
MCL (4) 150 0.767 0.293 0.425 0.169 0.386 0.235
PCP (4) 130 0.678 0.300 0.416 0.133 0.369 0.196
RNSC (4) 108 0.660 0.370 0.475 0.160 0.500 0.242
CFA (5) 96 0.400 0.156 0.225 0.105 0.385 0.165
CMC (5) 109 0.166 0.045 0.072 0.073 0.247 0.113
MCL (5) 71 0.400 0.169 0.238 0.105 0.408 0.167
PCP (5) 43 0.133 0.093 0.110 0.055 0.325 0.094
RNSC (5) 16 0.166 0.312 0.217 0.023 0.562 0.045
CFA (6) 41 0.134 0.049 0.071 0.126 0.195 0.153
CMC (6) 8 0.000 0.000 0.000 0.008 0.125 0.015
MCL (6) 52 0.134 0.076 0.097 0.117 0.192 0.145
PCP (6) 8 0.000 0.000 0.000 0.008 0.125 0.015
RNSC (6) 5 0.000 0.000 0.000 0.008 0.400 0.016
  1. The "data sets" column refers to networks, where (1) denotes PPI Biogrid , (2) denotes PPIGavin 6, (3) denotes PPIGavin 2, (4) denotes PPI Krogan , (5) denotes PPI Ho , and (6) denotes PPI Ito . The best precision and recall value for each PPI network are highlighted in bold font.
\