Highly accurate sigmoidal fitting of real-time PCR data by introducing a parameter for asymmetry.

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.

Results

The four-parameter models were compared to their five-parameter counterparts by means of nested F-tests based on the residual variance, thus acquiring a statistical measure for higher performance. For nearly all qPCR data we examined, five-parameter models resulted in a significantl

SUBMITTER: Spiess AN 

PROVIDER: S-EPMC2386824 | biostudies-literature | 2008 Apr

REPOSITORIES: biostudies-literature