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.