Highly accurate sigmoidal fitting of real-time PCR data by introducing a parameter for asymmetry
Open Access
- 29 April 2008
- journal article
- research article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 9 (1) , 221
- https://doi.org/10.1186/1471-2105-9-221
Abstract
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.Keywords
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