Description Usage Arguments Details Value See Also Examples
View source: R/read.celfiles.R
Reads CEL files.
1 2 3 4 5 6 7 | read.celfiles(..., filenames, pkgname, phenoData, featureData,
experimentData, protocolData, notes, verbose=TRUE, sampleNames,
rm.mask=FALSE, rm.outliers=FALSE, rm.extra=FALSE, checkType=TRUE)
read.celfiles2(channel1, channel2, pkgname, phenoData, featureData,
experimentData, protocolData, notes, verbose=TRUE, sampleNames,
rm.mask=FALSE, rm.outliers=FALSE, rm.extra=FALSE, checkType=TRUE)
|
... |
names of files to be read. |
filenames |
a |
channel1 |
a |
channel2 |
a |
pkgname |
alternative data package to be loaded. |
phenoData |
|
featureData |
|
experimentData |
|
protocolData |
|
notes |
|
verbose |
|
sampleNames |
|
rm.mask |
|
rm.outliers |
|
rm.extra |
|
checkType |
|
When using 'affyio' to read in CEL files, the user can read compressed CEL files (CEL.gz). Additionally, 'affyio' is much faster than 'affxparser'.
The function guesses which annotation package to use from the header
of the CEL file. The user can also provide the name of the annotaion
package to be used (via the pkgname
argument). If the
annotation package cannot be loaded, the function returns an
error. If the annotation package is not available from BioConductor,
one can use the pdInfoBuilder
package to build one.
|
if Expresssion arrays |
|
if Exon arrays |
|
if SNP arrays |
|
if Tiling arrays |
1 2 3 4 5 | if(require(pd.mapping50k.xba240) & require(hapmap100kxba)){
celPath <- system.file("celFiles", package="hapmap100kxba")
celFiles <- list.celfiles(celPath, full.name=TRUE)
affySnpFeatureSet <- read.celfiles(celFiles)
}
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.