Table 5 

Precision of each calculation model 

Model 
Slope 
SD 
pvalue 
r^{2} 


Sigmoid 
0.085 
1.225 
4.4E12 
0.00004 
LR N_{0} 
1.830 
0.621 
4.7E26 
0.07441 
Exponential 
0.707 
1.047 
0.004 
0.00421 
E^{Ct} 
1.103 
0.127 
1.2E13 
0.40965 
ΔCt 
0.689 
0.013 
1.4E149 
0.96041 
(Pavrg E)^{Ct} 
0.994 
0.026 
0.021 
0.93213 
(Savrg E)^{Ct} 
0.996 
0.027 
0.170 
0.92419 


Expected and measured relative concentrations were plotted and a linear regression was performed (Additional File 3). The slopes values were submitted to a ttest to evaluate if they are statistically different from 1, which would indicate a poor correlation between expected and measured concentrations. A pvalues smaller than 0.05 indicate that the slope is significantly different from 1. Correlation coefficient (r^{2}) values indicate the width of the spreading of individual data around the linear regression line. Higher r^{2 }indicate more robust models. 

Karlen et al. BMC Bioinformatics 2007 8:131 doi:10.1186/147121058131 