Highly accurate sigmoidal fitting of real-time PCR data by introducing a parameter for asymmetry |
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| Authors: | Andrej-Nikolai Spiess Caroline Feig Christian Ritz |
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| Affiliation: | (1) Department of Andrology, University Hospital Hamburg-Eppendorf, Hamburg, Germany;(2) Statistics Group, Department of Natural Sciences, Faculty of Life Sciences, University of Copenhagen, Copenhagen, Denmark |
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| Abstract: | Background Fitting four-parameter sigmoidal models is one of the methods established in the analysis of quantitative real-time PCR (qPCR) data. We had observed that these models are not optimal in the fitting outcome due to the inherent constraint of symmetry around the point of inflection. Thus, we found it necessary to employ a mathematical algorithm that circumvents this problem and which utilizes an additional parameter for accommodating asymmetrical structures in sigmoidal qPCR data. |
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