normalizeBetweenSubsamples.SNP {beadarraySNP} | R Documentation |
Quantile normalization between subsamples within a single SnpSetIllumina object
normalizeBetweenSubsamples.SNP(object, subsample = "OPA")
object |
class SnpSetIllumina |
subsample |
factor with length number of features in object or char ,column name in featureData slot |
Perform quantile normalization of the red and green channel between subsamples. This can be used in situations where multiple different assays that cover the same genomic regions (or whole genome) have been done on the same biological specimen. This function was introduced for version 5 Golden Gate Linkage analysis that consist of 4 assays of ~ 1500 probes. Where previous versions of this assay each targeted a number of chromosomes, in version 5 each assay covers the whole genome.
This function returns an SnpSetIllumina
object.
Jan Oosting
SnpSetIllumina-class
,normalizeBetweenAlleles.SNP
,
normalizeWithinArrays.SNP
,backgroundCorrect.SNP
data(chr17.260) data.nrm<-normalizeBetweenSubsamples.SNP(chr17.260)