Calculation of the 'midpoint' region
Calculates the exponential region midpoint using the algorithm described in Peirson et al. (2003).
midpoint(object, noise.cyc = 1:5)
object |
a fitted object of class 'pcrfit'. |
noise.cyc |
the cycles defining the background noise. |
The 'midpoint' region is calculated by
F_{noise} \cdot √{\frac{F_{max}}{F_{noise}}}
with F_{noise} = the standard deviation of the background cycles and F_{max} = the maximal fluorescence.
A list with the following components:
f.mp |
the 'midpoint' fluorescence. |
cyc.mp |
the 'midpoint' cycle, as predicted from |
Andrej-Nikolai Spiess
Experimental validation of novel and conventional approaches to quantitative real-time PCR data analysis.
Peirson SN, Butler JN & Foster RG.
Nucleic Acids Research (2003), 31: e73.
m1 <- pcrfit(reps, 1, 2, l5) mp <- midpoint(m1) plot(m1) abline(h = mp$f.mp, col = 2) abline(v = mp$mp, col = 2)
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