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Table 2 Results of replenishing missing labels on CollinsPPI wrt

From: Predicting protein functions using incomplete hierarchical labels

Metric

m(N m )

PILL

ProDM

ProWL

LkNN

TPRw

Naive

MicroF1

1(1526)

93.91 ±0.11

83.30 ±0.30

90.31 ±0.08

44.07 ±0.14

50.00 ±0.12

29.00 ±0.01

 

3(4330)

81.70 ±0.29

72.16 ±0.77

78.38 ±0.23

41.61 ±0.16

43.60 ±0.18

29.77 ±0.13

 

5(6580)

70.53 ±0.31

60.10 ±1.01

66.61 ±0.16

37.54 ±0.21

36.79 ±0.13

30.09 ±0.06

MacroF1

1(1526)

89.29 ±0.25

69.53 ±0.40

85.75 ±0.34

34.23 ±0.21

43.33 ±0.15

4.70 ±0.01

 

3(4330)

70.19 ±0.63

60.78 ±1.73

69.03 ±0.46

29.23 ±0.48

35.45 ±0.39

5.06 ±0.04

 

5(6580)

55.32 ±0.94

45.37 ±1.90

52.95 ±0.59

24.12 ±0.62

27.06 ±0.75

5.13 ±0.05

AvgROC

1(1526)

99.47 ±0.01

97.44 ±0.06

98.27 ±0.09

66.14 ±0.05

69.67 ±0.18

49.44 ±0.00

 

3(4330)

97.77 ±0.16

93.86 ±0.44

93.35 ±0.18

64.86 ±0.11

64.93 ±0.21

49.44 ±0.00

 

5(6580)

94.64 ±0.33

87.03 ±1.04

86.24 ±0.49

63.25 ±0.34

60.41 ±0.36

49.44 ±0.00

1-RankLoss

1(1526)

99.43 ±0.03

96.80 ±0.04

98.55 ±0.05

69.38 ±0.04

55.75 ±0.14

79.33 ±0.04

 

3(4330)

97.58 ±0.11

92.15 ±0.26

94.62 ±0.17

66.09 ±0.27

46.90 ±0.47

76.72 ±0.22

 

5(6580)

94.55 ±0.27

86.63 ±0.67

89.30 ±0.25

59.65 ±0.65

36.88 ±0.41

74.52 ±0.41

Fmax

1(1526)

90.88 ±0.07

76.28 ±0.31

80.49 ±0.34

42.74 ±0.09

58.43 ±0.36

28.32 ±0.00

 

3(4330)

76.82 ±0.10

67.39 ±0.84

66.14 ±0.29

42.16 ±0.25

51.12 ±0.50

27.93 ±0.01

 

5(6580)

66.11 ±0.50

56.26 ±4.01

57.76 ±0.52

40.39 ±0.37

44.01 ±0.53

27.04 ±0.00

  1. FunCat labels. m is the number of missing labels for a protein and N m in the bracket is the total number of missing labels for all the proteins. The numbers in boldface denote the best performance.