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Table 3 Results of CR, precision, Recall and F-measure

From: Protein functional module identification method combining topological features and gene expression data

Data Set

Algorithms

Number of PC

CR

Precision

Recall

F-measure

Gavin

ECTG

297

0.38

0.68

0.57

0.62

 

ClusterONE

245

0.44

0.39

0.37

0.38

 

DPClus

219

0.37

0.40

0.36

0.38

 

COACH

326

0.32

0.42

0.45

0.43

 

CFinder

99

0.24

0.53

0.19

0.28

 

MCL

121

0.31

0.72

0.33

0.45

Kroga

ECTG

518

0.54

0.55

0.66

0.6

 

ClusterONE

241

0.59

0.49

0.41

0.45

 

DPClus

495

0.3

0.26

0.49

0.34

 

COACH

349

0.48

0.48

0.54

0.51

 

CFinder

113

0.46

0.48

0.22

0.3

 

MCL

371

0.47

0.63

0.09

0.16

DIP

ECTG

436

0.68

0.49

0.65

0.56

 

ClusterONE

337

0.38

0.42

0.36

0.39

 

DPClus

843

0.44

0.21

0.63

0.31

 

COACH

849

0.56

0.35

0.63

0.45

 

CFinder

189

0.65

0.38

0.19

0.25

 

MCL

396

0.52

0.59

0.20

0.29