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Table 3 Results of 4-node biological network motifs in the Y2k network

From: Biological network motif detection and evaluation

Algorithm Motif included in GO Clustering score
  Complex function BP MF CC
ESU .501 .152 .61 .21 .67
RAND-ESU .491 .126 .61 .23 .65
MFINDER .586 .180 .65 .26 .72
EDGE GO-BNM .603 .463 .94 .25 .90
EDGE BETWEENNESS-BNM .904 .178 .82 .19 .84
NMFGO-BNM .609 .434 .92 .27 .90
NMF-BNM .819 .177 .76 .26 .80
VOLTAGE-BNM .638 .200 .63 .26 .77
  1. EDGE BETWEENNESS-BNM performs best in 'motif included in complex' measure. NMFBO-bnm performs best on 'MF' and 'CC clustering score' measures. EDGE GO-BNM performs best in the 'motif included in functional module measure 'BP, CC clustering score' measures. However all the algorithms perform poorly in 'MF clustering score' measure, with less than 30.