Calculates the exponential region midpoint using the algorithm described in Peirson et al. (2003).
Usage
midpoint(object, noise.cyc = 1:5)
Arguments
object
a fitted object of class 'pcrfit'.
noise.cyc
the cycles defining the background noise.
Value
A list with the following components:
f.mp
the 'midpoint' fluorescence.
cyc.mp
the 'midpoint' cycle, as predicted from f.mp.
Details
The 'midpoint' region is calculated by $$F_{noise} \cdot \sqrt{\frac{F_{max}}{F_{noise}}}$$
with \(F_{noise}\) = the standard deviation of the background cycles and \(F_{max}\) = the maximal fluorescence.
References
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.