Description Extends Creating Objects Slots Methods See Also Examples
This is a class representation for spike-in expression
data. SpikeInExpressionSet class is derived from
ExpressionSet, and requires a matrix names exprs
and a matrix named spikeIn.
Extends class ExpressionSet.
createSpikeInExpressionSet(exprs, spikeIn, ...)
new("SpikeInExpressionSet",
phenoData = new("AnnotatedDataFrame"),
featureData = new("AnnotatedDataFrame"),
experimentData = new("MIAME"),
annotation = character(0),
exprs = new("matrix"),
spikeIn = new("matrix"))
This creates a SpikeInExpressionSet with assayData
implicitly created to contain exprs and
spikeIn. Additional named matrix arguments with the same
dimensions as exprs are added to assayData; the row
and column names of these additional matrices should match those of
exprs and spikeIn.
new("SpikeInExpressionSet",
assayData = assayDataNew(exprs=new("matrix"),spikeIn=new("matrix")),
phenoData = new("AnnotatedDataFrame"),
featureData = new("AnnotatedDataFrame"),
experimentData = new("MIAME"),
annotation = character(0),
This creates a SpikeInExpressionSet with assayData
provided explicitly. In this form, the only required named argument is
assayData.
Inherited from ExpressionSet:
assayData:Contains matrices with equal dimensions,
and with column number equal to
nrow(phenoData). assayData must contain a matrix
exprs and a matrix spikeIn with rows representing
features and columns representing samples.
phenoData:See eSet
annotationSee eSet
featureDataSee eSet
experimentData:See eSet
Class-specific methods:
spikeIn(SpikeInExpressionSet),
spikeIn(SpikeInExpressionSet)<-Access and set elements
named spikeIn in the AssayData-class slot.
spkSplit(SpikeInExpressionSet)creates two SpikeInExpressionSet objects – one with the spike-in probes and one with the non-spike-in probes.
For derived methods (see ExpressionSet).
eSet-class, ExpressionSet-class.
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