annotateEset(object, x, ...)
"annotateEset"(object, x, columns = c("PROBEID", "ENTREZID", "SYMBOL", "GENENAME"), multivals = "first")
"annotateEset"(object, x, type = "core", ...)
"annotateEset"(object, x, type = "core", ...)
"annotateEset"(object, x, type = "core", ...)
"annotateEset"(object, x, ...)
"annotateEset"(object, x, probecol = NULL, annocols = NULL, ...)
columns
function to see what choices you have. By default we get the ENTREZID, SYMBOL and GENENAME.mapIds
to control how 1:many
mappings are handled. The default is 'first', which takes just the first result. Other valid
values are 'list' and 'CharacterList', which return all mapped results.rma
.object = ExpressionSet,x = ChipDb
: Annotate an ExpressionSet using a ChipDb package for annotation data. object = ExpressionSet,x = AffyGenePDInfo
: Annotate an ExpressionSet using an AffyGenePDInfo package. object = ExpressionSet,x = AffyHTAPDInfo
: Annotate an ExpressionSet using an AffyHTAPDInfo package. object = ExpressionSet,x = AffyExonPDInfo
: Annotate an ExpressionSet using an AffyExonPDInfo package. object = ExpressionSet,x = character
: Method to capture character input. object = ExpressionSet,x = data.frame
: Annotate an ExpressionSet using a user-supplied data.frame.
## Not run:
# dat <- read.celfiles(filenames = list.celfiles())
# eset <- rma(dat)
# ## annotate using ChipDb
# eset <- annotateEset(eset, hgu10sttranscriptcluster.db)
# ## or AffyGenePDInfo
# eset <- annotateEset(eset, pd.hugene.1.0.st.v1)
# ## End(Not run)
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