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Table 5 Estimations of the mean slope and results of variance decomposition

From: Variance component analysis to assess protein quantification in biomarker validation: application to selected reaction monitoring-mass spectrometry

Protein and algorithm

Peptide number

Mean slope

Theoretical concentration + interactiona

Interaction

Two-day process+ interactionb

Measurement errorb

Totalb

Lack of fit

L-FABP

3

       

 NLP

 

0.64

27.2

14.4

24.9

45.7

70.6

16.9

 BHI

 

0.72

54.8

3.9

5.7

30.5

36.2

12.9

 ELISAc

 

0.84

98.1

0.1

0.6

0.3

0.8

1.1

Villin

3

       

 NLP

 

1.14

51.1

5.6

9.9

14.4

24.3

28.8

 BHI

 

0.98

74.7

1.7

1.8

16.8

18.6

8.3

14.3.3 sigma

1

       

 NLP

 

1.09

69.8

5.8

16.9

16.4

33.3

9.5

 BHI

 

0.77

87.2

0.7

2.1

10.1

12.2

1.4

Calgi

2

       

 NLP

 

1.02

86.2

1.8

6

6.7

12.7

2.9

 BHI

 

0.81

93.5

0.1

1

4.3

5.3

1.3

Def.A6

1

       

 NLP

 

0.97

97.6

0.1

0.1

2.

2.1

0.2

 BHI

 

0.95

97.3

0.0

0.3

2.2

2.5

0.2

Calmo

1

       

 NLP

 

0.55

87.1

0.6

8

4.7

12.7

2.4

 BHI

 

0.32

19.8

0.8

16

52.

68.1

12.9

I-FABP

1

       

 NLP

 

0.86

89.3

0.4

2

5.1

7.1

2.5

 BHI

 

0.22

2.8

2.1

5.9

86.

91.9

7.4

Peroxi-5

1

       

 NLP

 

0.69

80.4

1.5

2.5

15.2

17.6

2.2

 BHI

 

0.30

27.3

15.2

24

51.5

75.5

12.4

S100A14

2

       

 NLP

 

0.88

85.9

15.9

21.4

4.5

25.9

7.8

 BHI

 

0.34

30.2

20.3

41.4

34.6

76

14.1

  1. The results of variance decomposition (columns 4 to 9) are expressed as percentages, a Reflects the dilution variance. b Reflects the technical variance. c Results stemming from the reading order (not the two-day readings)