Description Extends Creating Objects Slots Methods Author(s) See Also
Container for high-throughput assays and experimental metadata.
SnpSetIllumina class is derived from
eSet, and requires matrices
R, G, call, callProbability
as assay data members.
It supports featureData. Several visualization methods use columns CHR
and MapInfo. The CHR column is used to handle sex chromosomes in
a specific way. The OPA column is the default way to specify subsamples.
Directly extends class eSet.
new('SnpSetIllumina',
phenoData = [AnnotatedDataFrame],
experimentData = [MIAME],
annotation = [character],
call = [matrix],
callProbability = [matrix],
G = [matrix],
R = [matrix],
featureData = [data.frameOrNULL],
...)
SnpSetIllumina instances are usually created through
new("SnpSetIllumina", ...). Arguments to new
include call (a matrix of gentoypic calls, with features (SNPs)
corresponding to rows and samples to columns), callProbability,
G, R, phenoData, experimentData, and annotation.
phenoData, experimentData, and annotation can be
missing, in which case they are assigned default values.
Inherited from Biobase:eSet:
assayData:Contains matrices with equal dimensions, and with
column number equal to nrow(phenoData). assayData must
contain a matrix call with rows representing features (e.g., SNPs)
and columns representing samples, a matrix callProbability
describing the certainty of the call, and matrices R and G
to describe allele specific intensities. The contents of these matrices
are not enforced by the class. The assayData matrices
Gb, Rb, intensity, theta are optional, but are either
results or input for
several methods of the class. Additional matrices of identical size may
also be included in
assayData. Class:AssayData.
phenoData:See eSet.
experimentData:See eSet.
annotation:See eSet.
featureData:annotation for SNPs, usually will contain a
CHR and a MapInfo column for genomic localization.
Class-specific methods:
exprs(SnpSetIllumina), exprs(SnpSetIllumina,matrix)<-Access and
set elements named call in the AssayData slot.
combine(SnpSetIllumina,SnpSetIllumina):performs union-like
combination in both dimensions of SnpSetIllumina objects.
fData(SnpSetIllumina), fData(SnpSetIllumina,data.frame)<-Access and
set the pData in the featureData slot.
calculateGSR(SnpSetIllumina)calculate ratio of Gentrain score and Gencall score. Creates
GSR matrix in assayData. Should be performed before combining datasets.
calculateSmooth(object,smoothType)calculate smoothed data, creates smoothed matrix
in assayData. smoothType can only be "quantsmooth" at the moment
sortGenomic(SnpSetIllumina)order the data by chromosome and position on the chromosome.
Derived from eSet:
sampleNames(SnpSetIllumina) and sampleNames(SnpSetIllumina)<-:See eSet.
featureNames(SnpSetIllumina), featureNames(SnpSetIllumina, value)<-:See eSet.
dims(SnpSetIllumina):See eSet.
phenoData(SnpSetIllumina), phenoData(SnpSetIllumina,value)<-:See eSet.
varLabels(SnpSetIllumina), varLabels(SnpSetIllumina, value)<-:See eSet.
varMetadata(SnpSetIllumina), varMetadata(SnpSetIllumina,value)<-:See eSet.
pData(SnpSetIllumina), pData(SnpSetIllumina,value)<-:See eSet.
varMetadata(SnpSetIllumina), varMetadata(SnpSetIllumina,value)See eSet.
experimentData(SnpSetIllumina),experimentData(SnpSetIllumina,value)<-:See eSet.
pubMedIds(SnpSetIllumina), pubMedIds(SnpSetIllumina,value)See eSet.
abstract(SnpSetIllumina):See eSet.
annotation(SnpSetIllumina), annotation(SnpSetIllumina,value)<-See eSet.
storageMode(eSet), storageMode(eSet,character)<-:See eSet.
featureData(SnpSetIllumina), featureData(SnpSetIllumina,AnnotatedDataFrame)<-See eSet.
object[(index):Conducts subsetting of matrices and phenoData and featureData components.
Standard generic methods:
initialize(SnpSetIllumina):Object instantiation, used
by new; not to be called directly by the user.
validObject(SnpSetIllumina):Validity-checking method, ensuring
that call, callProbability, G, and R are members of
assayData. checkValidity(SnpSetIllumina) imposes this
validity check, and the validity checks of Biobase:class.eSet.
show(SnpSetIllumina)See eSet.
dim(SnpSetIllumina), ncolSee eSet.
SnpSetIllumina[(index):See eSet.
SnpSetIllumina$, SnpSetIllumina$<-See eSet.
J. Oosting, based on Biobase eSet class
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