Table 5

Precision of each calculation model

Model

Slope

SD

p-value

r2


Sigmoid

0.085

1.225

4.4E-12

0.00004

LR N0

1.830

0.621

4.7E-26

0.07441

Exponential

0.707

1.047

0.004

0.00421

ECt

1.103

0.127

1.2E-13

0.40965

ΔCt

0.689

0.013

1.4E-149

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 t-test to evaluate if they are statistically different from 1, which would indicate a poor correlation between expected and measured concentrations. A p-values smaller than 0.05 indicate that the slope is significantly different from 1. Correlation coefficient (r2) values indicate the width of the spreading of individual data around the linear regression line. Higher r2 indicate more robust models.

Karlen et al. BMC Bioinformatics 2007 8:131   doi:10.1186/1471-2105-8-131

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