Description Usage Arguments Value Author(s) See Also Examples
Gene identifier classes and functions are used to indicate what the
list of genes in a gene set represents (e.g., Entrez gene identifiers
are tagged with EntrezIdentifier()
, Bioconductor annotations with
AnnotationIdentifier()
).
1 2 3 4 5 6 7 8 9 10 11 | NullIdentifier(annotation, ...)
EnzymeIdentifier(annotation, ...)
ENSEMBLIdentifier(annotation, ...)
GenenameIdentifier(annotation,...)
RefseqIdentifier(annotation,...)
SymbolIdentifier(annotation,...)
UnigeneIdentifier(annotation,...)
UniprotIdentifier(annotation,...)
EntrezIdentifier(annotation,...)
AnnotationIdentifier(annotation, ...)
AnnoOrEntrezIdentifier(annotation, ...)
|
annotation |
An optional character string identifying the Bioconductor package from which the annotations are drawn, e.g., ‘hgu95av2’, ‘org.Hs.eg.db’. Or an ‘src_organism’ object, e.g. ‘Organism.dplyr::src_organism(TxDb.Hsapiens.UCSC.hg38.knownGene)’. |
... |
Additional arguments, usually none. |
For all but AnnoOrEntrezIdentifier
, An object of the same class
as the function name, initialized as appropriate for the identifier.
For AnnoOrEntrezIdentifier
, either an
AnnotationIdentifier
or EntrezIdentifier
depending on
the argument. This requires that the corresponding chip- or organism
package be loaded, hence installed on the user's system.
Martin Morgan <Martin.Morgan@RoswellPark.org>
GeneIdentifierType
-class for a description of the
classes and methods using these objects.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | NullIdentifier()
data(sample.ExpressionSet)
gs1 <- GeneSet(sample.ExpressionSet[100:109],
setName="sample1", setIdentifier="100")
geneIdType(gs1) # AnnotationIdentifier
geneIds <- featureNames(sample.ExpressionSet)[100:109]
gs2 <- GeneSet(geneIds=geneIds,
setName="sample1", setIdentifier="101")
geneIdType(gs2) # NullIdentifier, since no info about genes provided
## Convert...
ai <- AnnotationIdentifier(annotation(sample.ExpressionSet))
geneIdType(gs2) <- ai
geneIdType(gs2)
## ...or provide more explicit construction
gs3 <- GeneSet(geneIds=geneIds, type=ai,
setName="sample1", setIdentifier="102")
uprotIds <- c("Q9Y6Q1", "A6NJZ7", "Q9BXI6", "Q15035", "A1X283",
"P55957")
gs4 <- GeneSet(uprotIds, geneIdType=UniprotIdentifier())
geneIdType(gs4) # UniprotIdentifier
geneIds(mapIdentifiers(gs4, UnigeneIdentifier(annotation="org.Hs.eg")))
|
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