Last data update: 2014.03.03
R: Methods for class CopyNumberSet.
CopyNumberSet-methods R Documentation
Methods for class CopyNumberSet.
Description
Accessors and CopyNumberSet
Usage
copyNumber(object, ...)
cnConfidence(object)
copyNumber(object) <- value
cnConfidence(object) <- value
Arguments
object
CopyNumberSet
object or derived class
...
Ignored for CopyNumberSet
and oligoSnpSet
.
value
matrix
Value
copyNumber
returns a matrix of copy number estimates or
relative copy number estimates. Since the copy number estimates
are stored as integers (copy number * 100), the matrix returned
by the copyNumber
accessor will need to be divided by a
factor of 100 to transform the measurements back to the original
copy number scale.
cnConfidence
returns a matrix of confidence scores for
the copy number estimates. These are also represented as
integers and will require a back-transformation to the original
scale.
Examples
library(Biobase)
data(locusLevelData)
path <- system.file("extdata", package="oligoClasses")
fd <- readRDS(file.path(path, "genomeAnnotatedDataFrameExample.rds"))
## the following command creates an 'oligoSnpSet' object, storing
## an integer representation of the log2 copy number in the 'copyNumber' element
## of the assayData. Genotype calls and genotype confidence scores are also stored
## in the assayData.
oligoSet <- new("oligoSnpSet",
copyNumber=integerMatrix(log2(locusLevelData[["copynumber"]]/100), 100),
call=locusLevelData[["genotypes"]],
callProbability=integerMatrix(locusLevelData[["crlmmConfidence"]], 1),
annotation=locusLevelData[["platform"]],
featureData=fd,
genome="hg19")
## There are several accessors for the oligoSnpSet class.
icn <- copyNumber(oligoSet)
range(icn) ## integer scale
lcn <- icn/100
range(lcn) ## log2 copy number
## confidence scores for the genotypes are also represented on an integer scale
ipr <- snpCallProbability(oligoSet)
range(ipr) ## integer scale
## for genotype confidence scores, the helper function i2p
## converts back to a probability scale
pr <- i2p(ipr)
range(pr)
## The helper function confs is a shortcut, extracting the
## integer-based confidence scores and transforming to the
## probability scale
pr2 <- confs(oligoSet)
all.equal(pr, pr2)
## To extract information on the annotation of the SNPs, one can use
position(oligoSet)
chromosome(oligoSet)
## the position and chromosome coordinates were extracted from build hg19
genomeBuild(oligoSet)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(oligoClasses)
Welcome to oligoClasses version 1.34.0
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/oligoClasses/CopyNumberSet-methods.Rd_%03d_medium.png", width=480, height=480)
> ### Name: CopyNumberSet-methods
> ### Title: Methods for class CopyNumberSet.
> ### Aliases: CopyNumberSet-methods copyNumber copyNumber<- cnConfidence
> ### cnConfidence<-
> ### Keywords: methods manip
>
> ### ** Examples
>
> library(Biobase)
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
rbind, rownames, sapply, setdiff, sort, table, tapply, union,
unique, unsplit
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
> data(locusLevelData)
> path <- system.file("extdata", package="oligoClasses")
> fd <- readRDS(file.path(path, "genomeAnnotatedDataFrameExample.rds"))
> ## the following command creates an 'oligoSnpSet' object, storing
> ## an integer representation of the log2 copy number in the 'copyNumber' element
> ## of the assayData. Genotype calls and genotype confidence scores are also stored
> ## in the assayData.
> oligoSet <- new("oligoSnpSet",
+ copyNumber=integerMatrix(log2(locusLevelData[["copynumber"]]/100), 100),
+ call=locusLevelData[["genotypes"]],
+ callProbability=integerMatrix(locusLevelData[["crlmmConfidence"]], 1),
+ annotation=locusLevelData[["platform"]],
+ featureData=fd,
+ genome="hg19")
>
> ## There are several accessors for the oligoSnpSet class.
> icn <- copyNumber(oligoSet)
> range(icn) ## integer scale
[1] -108 317
> lcn <- icn/100
> range(lcn) ## log2 copy number
[1] -1.08 3.17
>
> ## confidence scores for the genotypes are also represented on an integer scale
> ipr <- snpCallProbability(oligoSet)
> range(ipr) ## integer scale
[1] 976 7598
>
> ## for genotype confidence scores, the helper function i2p
> ## converts back to a probability scale
> pr <- i2p(ipr)
> range(pr)
[1] 0.6231847 0.9994985
>
> ## The helper function confs is a shortcut, extracting the
> ## integer-based confidence scores and transforming to the
> ## probability scale
> pr2 <- confs(oligoSet)
> all.equal(pr, pr2)
[1] TRUE
>
> ## To extract information on the annotation of the SNPs, one can use
> position(oligoSet)
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