Description Objects from the Class Slots Extends Methods Author(s) See Also Examples
Container for high-throughput assays and experimental
metadata. "AlleleSetIllumina"
class is derived from
"eSet"
and requires matrices
“intensity”, “theta”, and “SE” as assay data
members
new("AlleleSetIllumina", ...)
new("AlleleSetIllumina", phenoData = [AnnotatedDataFrame],
featureData = [AnnotatedDataFrame], experimentData = [MIAME],
annotation = [character], intensity = [matrix], theta = [matrix],
SE = [matrix], ...)
Most arguments are optional, however usually the arguments to new
include at least “intensity”, “theta”, and “SE”. Note
that several methods requires additional assayData
,
phenoData
, or featureData
entries
"AlleleSetIllumina"
instances are usually created from
"BeadSetIllumina"
instances using
createAlleleSet
or from text-files using
createAlleleSetFromFiles
Inherited from "eSet"
:
assayData
:Object of class "AssayData"
,
with storage mode “list”. Contains data-matrices with
rows corresponding to markers and columns to samples/arrays. Required
members are “intensity”, “theta”, and “SE”. May also
include intensities “A” and “B” (see
createAlleleSet
), “call” (see
callGenotypes
), “ped.check” (see
validateCallsPedigree
), or
any other suitable matrix
phenoData
:Object of class
"AnnotatedDataFrame"
with additional information about the
samples
featureData
:Object of class
"AnnotatedDataFrame"
with additional information about the markers
experimentData
:Object of class "MIAME"
annotation
:Object of class "character"
.__classVersion__
:Object of class "Versions"
Class "eSet"
, directly.
Class "VersionedBiobase"
, by class "eSet"
, distance 2.
Class "Versioned"
, by class "eSet"
, distance 3.
Class-specific methods:
initialize
:signature(.Object = "AlleleSetIllumina")
:
Object instantiation, can be called by derived classes but not usually by the user
validObject(object)
:Validity-checking method,
ensuring (1) all assayData
components have the same number and names of
features and samples; (2) the number and names of phenoData
and featureData
rows match the number and names of
assayData
columns and rows, respectively; (3)
storageMode(object)
is set to “list”
assignToAlleleSet(object,object1)
:Used to assign
data in object1
to corresponding features in
object
, given the phenoData
are identical between the two
A selection of methods inherited from "eSet"
:
sampleNames(object)
,
sampleNames(object) <- value
:See "eSet"
featureNames(object)
,
featureNames(object) <- value
:See "eSet"
phenoData(object)
,
phenoData(object) <- value
:See "eSet"
pData(object)
, pData(object) <- value
:See "eSet"
varMetadata(object)
See "eSet"
varLabels(object)
See "eSet"
featureData(object)
,
featureData(object) <- value
:See "eSet"
fData(object)
, fData(object) <- value
:See "eSet"
fvarMetadata(object)
See "eSet"
fvarLabels(object)
See "eSet"
assayData(object), assayData(object) <- value
:See "eSet"
combine(object,object1)
:See "eSet"
storageMode(object)
:See
"eSet"
. Do not assign new values to
storageMode
, as this could render the object invalid
Lars Gidskehaug
createAlleleSet
, callGenotypes
,
preprocessBeadSet
, BeadSetIllumina
,
MultiSet
1 | showClass("AlleleSetIllumina")
|
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