expcomp

The exponential region of the qPCR data is identified by the studentized outlier method, as in <code>expfit</code>.
The root-mean-squared-error (RMSE) of all available sigmoidal models within this region is then calculated.
The result of the fits are plotted and models returned in order of ascending RMSE.

models

nonlinear

Sigmoidal model fitting, optimal model selection and calculation of various features that are essential in the analysis of quantitative real-time polymerase chain reaction (qPCR), according to Ritz & Spiess (2008) <doi:10.1093/bioinformatics/btn227> and Spiess et al. (2008) <doi:10.1186/1471-2105-9-221>.

Andrej-Nikolai Spiess

qpcR

Modelling and Analysis of Real-Time PCR Data

expcomp function

<dl> <dt>object</dt>
<dd>an object of class 'pcrfit'.</dd> <dt>...</dt>
<dd>other parameters to be passed to <code>expfit</code>.</dd>
 
</dl>

Arguments

Author

Comparison of all sigmodal models within the exponential region — expcomp

<dl>

 <dt>object</dt>
<dd>an object of class 'pcrfit'.</dd>

 <dt>...</dt>
<dd>other parameters to be passed to <code>expfit</code>.</dd>
 
</dl>

expcomp: Comparison of all sigmodal models within the exponential region

Description

Usage

Value

Arguments

Author

Details

Examples