ddCtAbsolute: absolute quantification for Taqman data

In ddCt: The ddCt Algorithm for the Analysis of Quantitative Real-Time PCR (qRT-PCR)

Description

absolute quantification for Taqman data

Usage

ddCtAbsolute(raw.table, addData, type = "mean", ADD = -30.234, DIV = -1.6268, sampleInformation = NULL, toZero = FALSE, filename = "warning.output.txt")

Arguments

raw.table	data frame. It must contain columns with the following names:'Ct','Sample','Detector','Platename'. The column 'Ct' must contain numeric values.
addData	add data
type	character of length 1. 'mean' or 'median'- which method should be used for the aggregation of the repicates
ADD	Add constant
DIV	Div constant
sampleInformation	if specified it must be an object of class phenoData with a column named 'Sample'.
toZero	boolean - if there is only one replication should the error be treated as zero ? (only if 'type' is mean)
filename	character of length 1. The name of the file the warnings should be stored in.

Value

A an object of class eSet. The assayData has the following components: exprs, error, Ct, Ct.error, Difference, number\_NA, number, Plate.

Author(s)

Markus Ruschhaupt mailto:[e-mail]

References

~put references to the literature/web site here ~

ddCt documentation built on Nov. 8, 2020, 4:57 p.m.