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DetailsThe approximate second derivative maximum (SDM) which is commonly used to quantify quantitative real-time PCR experiments. The SDM might also be useful for isothermal amplification processes. The SDM is calculated from a derived cubic spline. Similarly the first approximate approximate derivative maximum (FDM), second derivative minimum (SDm), and approximate second derivative center (SDC, geometric mean of SDM and SDm) are available. FDM, SDm and SDC values can be used to further characterize the amplification process. ValueA named vector of four elements. The element named Author(s)Stefan Roediger, Michal Burdukiewicz ReferencesRuijter JM, Pfaffl MW, Zhao S, et al. (2013) Evaluation of qPCR curve analysis methods for reliable biomarker discovery: bias, resolution, precision, and implications. Methods San Diego Calif 59:32–46. See Also
Examplesres <- AmpSim(cyc = 1:40, Cq = 25) test.der <- inder(res) #just print summary summary(test.der) #print without rounding summary(test.der, digits = 6) #assign summary to variable without printing and vals <- summary(test.der, print = FALSE) print(vals) #easily access different values vals["bg.start"] Results |
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