Table 12

Comparisons between the different methods on the Bootstrap0.094 network

Method

MCL

MCLO

MCL-CAw

CMC

HACO


#Predicted

203

204

199

203

127


Wodak

(#172)

#Matched

76

76

79

110

80

Precision

0.374

0.372

0.397

0.542

0.630

#Derived

85

85

88

106

90

Recall

0.494

0.494

0.512

0.616

0.523


MIPS

(#168)

#Matched

44

45

47

67

49

Precision

0.271

0.220

0.236

0.330

0.386

#Derived

56

57

59

69

63

Recall

0.333

0.339

0.351

0.411

0.375


Aloy

(#76)

#Matched

56

55

57

76

59

Precision

0.276

0.269

0.286

0.374

0.465

#Derived

55

55

58

63

60

Recall

0.724

0.723

0.763

0.829

0.789


Methods considered: MCL, MCLO, MCL-CAw, CMC and HACO. HACO performed the best in terms of precision, while CMC performed the best in terms of recall. MCL-CAw was positioned third in both precision and recall. #Matched: #Predictions matching some benchmark complex(es). #Derived: #Benchmark complexes derived by some predicted complex(es).

The Bootstrap0.094 network

#Proteins 2719; #Interactions 10290

Srihari et al. BMC Bioinformatics 2010 11:504   doi:10.1186/1471-2105-11-504

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