Description Arguments Value usage Methods Author(s) References See Also Examples
Apply the ddCt algorithm for a given data set
object |
SDMFrame Data object which holds a data set containing columns with the following names: 'Ct','Sample','Detector','Platename'. The column 'Ct' must contain numeric values. |
algorithm |
character. Name of the calibration samples. |
warningStream |
character of length 1. The name of the file the warnings should be stored in. |
calibrationSample |
character. Name of the calibration samples. |
housekeepingGenes |
character. Name of the housekeeping genes. |
type |
character of length 1. 'mean' or 'median'- which method should be used for the aggregation of the repicates |
sampleInformation |
if specified it must be an object of class |
toZero |
boolean - if there is only one replication should the error be treated as zero ? (only if 'type' is mean) |
efficiencies |
n.V. |
efficiencies.error |
n.V. |
A an object of class
ddCtExpression
.
ddCtExpression(object, warningStream = "warning.output.txt", algorithm="ddCt" calibrationSample, housekeepingGenes, type="mean", sampleInformation=NULL, toZero=TRUE, efficiencies = NULL, efficiencies.error = NULL)
An object of InputFrame
,
constructed with the method InputFrame
Rudolf Biczok mailto:r.biczok@dkfz.de
Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta -Delta C(T)) Method. KJ Livak and TD Schmittgen, Methods, Vol. 25, No. 4. (December 2001), pp. 402-408
InputFrame
: reader for SDM files
ddCtExpression
: representation for ddCt
calculated expressions
1 2 3 4 5 6 7 8 9 | ## read a SDM file
sampdat <- SDMFrame(system.file("extdata", "Experiment1.txt", package="ddCt"))
## call ddCtExpression method from class SDMFrame
## to get a ddCt calculated expression
result <- ddCtExpression(sampdat,
calibrationSample="Sample1",
housekeepingGenes=c("Gene1","Gene2"))
result
|
ddCtExpression (storageMode: list)
assayData: 3 features, 2 samples
element names: exprs, level.err, Ct, Ct.error, dCt, dCt.error, ddCt, ddCt.error, Difference, numberNA, number, Plate
protocolData: none
phenoData
sampleNames: Sample1 Sample2
varLabels: Sample Calibrator
varMetadata: labelDescription
featureData: none
experimentData: use 'experimentData(object)'
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