doCRMAv2 | R Documentation |
A single-array preprocessing method for estimating full-resolution raw copy numbers from all Affymetrix genotyping arrays (CRMA v2) based on [1]. The algorithm is processed in bounded memory, meaning virtually any number of arrays can be analyzed on also very limited computer systems.
We recommend CRMA v2 for estimating allele-specific as well total SNP signals from Affymetrix SNP chips.
## S3 method for class 'AffymetrixCelSet'
doCRMAv2(csR, combineAlleles=TRUE, lengthRange=NULL, arrays=NULL,
plm=c("AvgCnPlm", "RmaCnPlm"), drop=TRUE, verbose=FALSE, ...)
## Default S3 method:
doCRMAv2(dataSet, ..., verbose=FALSE)
## Default S3 method:
doASCRMAv2(...)
csR , dataSet |
An |
combineAlleles |
A |
lengthRange |
An optional |
arrays |
A |
plm |
A |
drop |
If |
verbose |
See |
... |
Additional arguments used to set up |
Returns a named list
, iff drop == FALSE
, otherwise
only ChipEffectSet
object.
If you wish to obtain allele-specific estimates for SNPs, which
are needed to call genotypes or infer parent-specific copy numbers,
then use argument combineAlleles=FALSE
. Total copy number
signals are still available.
If you know for certain that you will not use allele-specific
estimates, you will get slightly less noisy signals
(very small difference) if you use combineAlleles=TRUE
.
doASCRMAv2(...)
is a wrapper for
doCRMAv2(..., combineAlleles=FALSE)
.
Henrik Bengtsson
[1] H. Bengtsson, P. Wirapati & T.P. Speed.
A single-array preprocessing method for estimating
full-resolution raw copy numbers from all Affymetrix
genotyping arrays including GenomeWideSNP 5 & 6,
Bioinformatics, 2009.
For CRMA v1, which is a multi-array methods that precedes CRMA v2,
see doCRMAv1
().
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