slope


data.frame containing row datas (genes in columns, samples in rows, Cq values).


data


logical, indicating whether NA values should be stripped before the computation
 proceeds.


na.rm


This function calculates the amplification efficiency from classical qPCR
 dilution experiment using the Cq values. The Cq values are plotted against the
 logarithmized concentration (or dilution) values, a linear regression line is
 fit and the efficiency calculated by E = 10^-1/slope. 


efficiency

This package is based on the qBase algorithms published by
Hellemans et al. in 2007. The EasyqpcR package allows you to import easily qPCR
data files as described in the vignette. Thereafter, you can calculate
amplification efficiencies, relative quantities and their standard errors,
normalization factors based on the best reference genes choosen (using the
SLqPCR package), and then the normalized relative quantities, the NRQs scaled
to your control and their standard errors. This package has been created for
low-throughput qPCR data analysis.

Le Pape Sylvain

EasyqpcR

EasyqpcR for low-throughput real-time quantitative PCR data
analysis

slope function

data.frame containing row datas (genes in columns, samples in rows, Cq values).

logical, indicating whether NA values should be stripped before the computation
 proceeds.

This function calculates the amplification efficiency from classical qPCR
 dilution experiment using the Cq values. The Cq values are plotted against the
 logarithmized concentration (or dilution) values, a linear regression line is
 fit and the efficiency calculated by E = 10^{-1/slope}.

slope: Function to calculate the amplification efficiency

Description

Usage

Arguments

Value

See Also

Examples