Preprocessed expression data for five M. musculus tissues.
Samples were hybridized to Affymetrix's mouse430v2 array platform,
preprocessed using the MAS5 method, as implemented in
Bioconductor's package affy.
Usage
data(barreraExpressionX)
Format
Preprocessed expression data as an ExpressionSet
with 45101 features, 5 samples.
Details
see the supplement for the code chunk that was used to read in the
CEL files that are in the expression directory of the package
and to preprocess them.
See Also
ExpressionSet,
mas5
Examples
data(barreraExpressionX)
show(barreraExpressionX)
## the raw data is here:
dir(system.file("expression", package="ccTutorial"))
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(ccTutorial)
Loading required package: Ringo
Loading required package: 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")'.
Loading required package: RColorBrewer
Loading required package: limma
Attaching package: 'limma'
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plotMA
Loading required package: Matrix
Loading required package: grid
Loading required package: lattice
Loading required package: affy
Attaching package: 'affy'
The following object is masked from 'package:Ringo':
probes
Loading required package: topGO
Loading required package: graph
Loading required package: GO.db
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: IRanges
Loading required package: S4Vectors
Attaching package: 'S4Vectors'
The following objects are masked from 'package:Matrix':
colMeans, colSums, expand, rowMeans, rowSums
The following objects are masked from 'package:base':
colMeans, colSums, expand.grid, rowMeans, rowSums
Loading required package: SparseM
Attaching package: 'SparseM'
The following object is masked from 'package:base':
backsolve
groupGOTerms: GOBPTerm, GOMFTerm, GOCCTerm environments built.
Attaching package: 'topGO'
The following object is masked from 'package:IRanges':
members
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depth
> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/ccTutorial/barreraExpressionX.Rd_%03d_medium.png", width=480, height=480)
> ### Name: barreraExpressionX
> ### Title: Barrera expression data
> ### Aliases: barreraExpressionX
> ### Keywords: datasets
>
> ### ** Examples
>
> data(barreraExpressionX)
> show(barreraExpressionX)
ExpressionSet (storageMode: lockedEnvironment)
assayData: 45101 features, 5 samples
element names: exprs, se.exprs
protocolData: none
phenoData
sampleNames: 3024.Ren.Liver.vt.CEL 3026.Ren.Brain.vt.CEL ...
3062.Ren.RES.vt.CEL (5 total)
varLabels: sample Tissue
varMetadata: labelDescription
featureData: none
experimentData: use 'experimentData(object)'
Annotation: mouse4302
> ## the raw data is here:
> dir(system.file("expression", package="ccTutorial"))
[1] "3024.Ren.Liver.vt.CEL" "3026.Ren.Brain.vt.CEL"
[3] "3060.Ren.Kidney.vt.CEL" "3061.Ren.Heart.vt.CEL"
[5] "3062.Ren.RES.vt.CEL" "barreraExpressionX_mas5.RData"
[7] "process.R"
>
>
>
>
>
> dev.off()
null device
1
>