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Table 14 Relative ranking of complex detection algorithms on unscored and affinity-scored networks

From: MCL-CAw: a refinement of MCL for detecting yeast complexes from weighted PPI networks by incorporating core-attachment structure

PPI network   Wodak MIPS Aloy   
  Method F1 Norm F1 Norm F1 Norm Total Norm
G+K CMC 0.407 1.000 0.283 1.000 0.455 1.000 3.000 1.000
  HACO 0.351 0.862 0.216 0.761 0.333 0.731 2.355 0.785
  MCL-CAw 0.313 0.768 0.218 0.770 0.270 0.592 2.130 0.710
  CORE 0.292 0.718 0.210 0.741 0.256 0.561 2.020 0.673
  MCL 0.271 0.665 0.175 0.619 0.271 0.595 1.879 0.626
  MCL-CA 0.244 0.601 0.212 0.749 0.278 0.610 1.960 0.653
  COACH 0.183 0.450 0.137 0.486 0.194 0.426 1.361 0.454
ICD(G+K) MCL-CAw 0.567 1.000 0.450 1.000 0.578 0.976 2.976 1.000
  HACO 0.565 0.995 0.378 0.841 0.593 1.000 2.837 0.953
  MCLO 0.533 0.939 0.412 0.916 0.572 0.965 2.820 0.947
  CMC 0.531 0.936 0.403 0.897 0.480 0.810 2.642 0.888
  MCL 0.498 0.879 0.370 0.822 0.543 0.916 2.616 0.879
FSW(G+K) MCL-CAw 0.576 0.992 0.423 1.000 0.625 1.000 2.992 1.000
  HACO 0.581 1.000 0.396 0.935 0.609 0.974 2.910 0.972
  MCL 0.541 0.931 0.393 0.929 0.585 0.935 2.795 0.934
  MCLO 0.513 0.884 0.376 0.888 0.612 0.979 2.750 0.919
  CMC 0.484 0.833 0.338 0.798 0.465 0.744 2.375 0.794
Cons3.19 MCL-CAw 0.614 1.000 0.487 1.000 0.576 0.979 2.979 1.000
  MCLO 0.606 0.986 0.471 0.967 0.575 0.977 2.930 0.984
  CMC 0.604 0.982 0.479 0.983 0.588 1.000 2.965 0.995
  MCL 0.573 0.932 0.407 0.836 0.567 0.964 2.732 0.917
  HACO 0.475 0.774 0.379 0.777 0.502 0.854 2.405 0.807
Boot0.094 HACO 0.572 0.991 0.380 1.000 0.585 1.000 2.991 1.000
  CMC 0.577 1.000 0.367 0.965 0.515 0.881 2.846 0.952
  MCL-CAw 0.447 0.776 0.282 0.742 0.416 0.711 2.229 0.745
  MCL 0.426 0.738 0.299 0.785 0.400 0.683 2.207 0.738
  MCLO 0.424 0.736 0.267 0.701 0.392 0.670 2.108 0.705
  1. Ranking obtained from normalized F1 values. The G+K network is unscored, while the remaining are scored using affinity scoring schemes.