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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)