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Dear List,
I am working with some "Affymetrix GeneChip miRNA v1.0" chip data and
am recieving an error upon executing the gcrma method. Is this error
to do with the NSB estimation by any chance? If so is my only solution
to use simply rma instead?
Thanks,
Scott
> celFiles <- read.affy()
> celFiles
trying URL 'http://bioconductor.org/packages/2.12/data/annotation/bin/
windows/contrib/3.0/mirna102xgaincdf_2.12.0.zip'
Content type 'application/zip' length 225057 bytes (219 Kb)
opened URL
downloaded 219 Kb
The downloaded binary packages are in
C:\Users\Scott\AppData\Local\Temp\RtmpQxcEYA\downloaded_packages
Loading required package: AnnotationDbi
AffyBatch object
size of arrays=230x230 features (66 kb)
cdf=miRNA-1_0_2Xgain (7815 affyids)
number of samples=175
number of genes=7815
annotation=mirna102xgain
notes=
Warning message:
package ???AnnotationDbi??? was built under R version 3.0.1
> celFiles.gcrma <- gcrma(celFiles)
Adjusting for optical effect..........................................
......................................................................
...............................................................Done.
Computing affinities[1] "Checking to see if your internet connection
works..."
[1] "Environment mirna102xgainprobe was not found in the Bioconductor
repository."
Error in get(probepackagename) : object 'mirna102xgainprobe' not found
-- output of sessionInfo():
R version 3.0.0 (2013-04-03)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_United Kingdom.1252
[2] LC_CTYPE=English_United Kingdom.1252
[3] LC_MONETARY=English_United Kingdom.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.1252
attached base packages:
[1] parallel stats graphics grDevices utils datasets
methods
[8] base
other attached packages:
[1] mirna102xgaincdf_2.12.0 AnnotationDbi_1.22.6 affyPLM_1.36.0
[4] preprocessCore_1.22.0 simpleaffy_2.36.1 gcrma_2.32.0
[7] genefilter_1.42.0 affy_1.38.1 Biobase_2.20.0
[10] BiocGenerics_0.6.0
loaded via a namespace (and not attached):
[1] affyio_1.28.0 annotate_1.38.0 BiocInstaller_1.10.2
[4] Biostrings_2.28.0 DBI_0.2-7 IRanges_1.18.1
[7] RSQLite_0.11.4 splines_3.0.0 stats4_3.0.0
[10] survival_2.37-4 tools_3.0.0 XML_3.98-1.1
[13] xtable_1.7-1 zlibbioc_1.6.0
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