cghCall2weightedSubset: Weighted subsetting cghCall-objects.

Description Usage Arguments Value Warning Note Author(s) References See Also Examples

View source: R/dataManagementFunctions.r

Description

Limit an cghCall object to a subset of its features, using weighted averaging of the copy number signal.

Usage

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cghCall2weightedSubset(CNdata, featuresAndWeights, chr, bpstart, 
bpend, ncpus = 1, verbose=TRUE)

Arguments

CNdata

Object of class cghCall.

featuresAndWeights

Object of class list. Each list item is a matrix. The first column of this matrix contains the row numbers of features to be maintained in the cghCall-object. The second column contains the weights of each features, to be used in the calculation of the weighted average copy number signal.

chr

Column in the slot featureData of the cghCall-object specifying the chromosome information of the features.

bpstart

Column in the slot featureData of the cghCall-object specifying the start basepair information of the features.

bpend

Column in the slot featureData of the cghCall-object specifying the end basepair information of the features.

ncpus

Number of cpus to be used in computations.

verbose

Logical indicator: should intermediate output be printed on the screen?

Value

Object of class cghCall, restricted to the specified subset of features.

Warning

The phenoData, experimentData, and other slots of the cghCall-object are currently not passed on to the subsetted object.

Note

This is a more intricate version of the cghCall2subset function. They exists parallel because this function is (much) slower than its counterpart.

Author(s)

Wessel N. van Wieringen: [email protected]

References

Van Wieringen, W.N., Unger, K., Leday, G.G.R., Krijgsman, O., De Menezes, R.X., Ylstra, B., Van de Wiel, M.A. (2012), "Matching of array CGH and gene expression microarray features for the purpose of integrative analysis", BMC Bioinformatics, 13:80.

See Also

cghCall2subset

Examples

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# load data
data(pollackCN16)

# extract genomic information from ExpressionSet-object
chr <- fData(pollackCN16)[,1]
bpstart <- fData(pollackCN16)[,2]
bpend <- fData(pollackCN16)[,3]

# find unique genomic locations
uniqInfo <- uniqGenomicInfo(chr, bpstart, bpend, verbose = FALSE) 

# subset cghCall-object to features with unique genomic locations
pollackCN16 <- cghCall2weightedSubset(pollackCN16, uniqInfo, 1, 2, 3) 

sigaR documentation built on May 6, 2019, 3:40 a.m.