March 25 2004 README addition from VJ Carey:
This is an R package for access to Wolfgang’s contributed
kidney data. I have just used save(compress=TRUE) for some
of the data, and added some trivial documentation. inst/archive
includes Wolfgang’s audit notes.
==========BELOW IS ORIGINAL README CONTENT=============
eset74.rda
==========
“eset”: exprSet with 4224 genes and 74 samples (renal cell cancers).
Normalized with vsn.
The most interesting pheno-variables are
Subtype
rf.survival, progress
survival.time, died
and the genetic aberrations
cloneanno.rda
clone annotations. data.frame with 4224 rows
(yeah, I know, it should be an annotation package…)
March 25 2004 README addition from VJ Carey: This is an R package for access to Wolfgang’s contributed kidney data. I have just used save(compress=TRUE) for some of the data, and added some trivial documentation. inst/archive includes Wolfgang’s audit notes.
==========BELOW IS ORIGINAL README CONTENT============= eset74.rda ========== “eset”: exprSet with 4224 genes and 74 samples (renal cell cancers). Normalized with vsn. The most interesting pheno-variables are
cloneanno.rda
clone annotations. data.frame with 4224 rows (yeah, I know, it should be an annotation package…)
For the raw data and the preprocessing:
qua.rda
Raw data. Matrix with dim(8704, 4, 175), that is 8704 spots, 4 spot statistics, 175 chips
dimnames(qua)[[2]] 1] “fg.green” “bg.green” “fg.red” “bg.red”
spotanno.rda
Spot annotation. data.frame with 8704 rows colnames(spotanno) [1] “Block” “Row” “Column” “AccNumber” “Name” “SrcPlt” [7] “SrcRow” “SrcCol” “vendor” “ImageID” “probe”
hybanno.rda
Chip annotation. data.frame with 175 rows colnames(hybanno) [1] “filename” “patientid” “slideid”
see also
preproc.txt readdata.R runvsn74.R makecloneanno.R makeeset.R test.R