Table 1.
Algorithm | Motif included in | GO Clustering score | |||
---|---|---|---|---|---|
Complex | Function | BP | MF | CC | |
ESU | .13 | .205 | .64 | .51 | .61 |
RAND-ESU | .13 | .208 | .65 | .28 | .46 |
MFINDER | .15 | .299 | .74 | .57 | .71 |
EDGEGO-BNM | .21 | .479 | .85 | .70 | .80 |
EDGEBETWEENNESS-BNM | .28 | .392 | .78 | .60 | .79 |
NMFGO-BNM | .18 | .360 | .78 | .61 | .75 |
NMF-BNM | .15 | .230 | .68 | .54 | .64 |
VOLTAGE-BNM | .26 | .330 | .77 | .59 | .75 |
EDGEBETWEENNESS-BNM performs best in 'motif included in complex' measure while EDGEGO-BNM performs best in other measures.