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Table 1 Estimation of model parameters.

From: Model based analysis of real-time PCR data from DNA binding dye protocols

 

A

B

   

Mean ±

Correlation

  

Mean ±

Dilution

T 0

SE

SEM

T0 × b

T0 × Tm

T 0

SE

SEM

10

8.52

2.27

8.63 ±

0.963

-0.97

12.4

0.29

12.17 ±

10

7

2

0.98

0.963

-0.977

11.2

0.34

0.52

10

10.4

1.95

 

0.963

-0.969

12.9

0.36

 

1

0.42

0.06

 

0.967

-0.962

0.981

0.018

 

1

1.08

0.56

1 ± 0.32

0.964

-0.948

0.804

0.024

1 ± 0.12

1

1.51

0.74

 

0.965

-0.977

1.21

0.043

 

0.1

0.09

0.04

0.073 ±

0.968

-0.965

0.121

0.0032

0.12 ±

0.1

0.065

0.015

0.0087

0.969

-0.974

0.111

0.0026

0.0028

0.1

0.063

0.023

 

0.968

-0.921

0.117

0.0028

 
  1. Estimation of T0, b and Tm by fitting Eq. (1) and (2) to experimental data (A), and estimation of T0 by fitting Eq. (1) and (2) to experimental data using b and Tm values previously obtained from the fit of Eq. (2) to experimental amplification efficiencies (B). Shown is the dilution of mouse midbrain cDNA used for each real-time PCR run, the best fit values for T0, the asymptotic estimation of the standard error (SE), and the T0 mean value ± standard error of the mean (SEM). For (A), the correlation between T0 and the other parameters estimated by non-linear regression is also shown.