eset2genelevel: Filter ExpressionSet to keep one probeset per gene.
In phenoTest: Tools to test association between gene expression and phenotype in a way that is efficient, structured, fast and scalable. We also provide tools to do GSEA (Gene set enrichment analysis) and copy number variation.
Description
Usage
Arguments
Author(s)
See Also
Examples
View source: R/eset2genelevel.R
Description
Only one probeset per gene will be kept and entrezid will be used as
gene identifier.
nsFilter from package genefilter is used to select the
probeset.
The selected probeset is the one with higher interquartilic range.
Usage
1
Arguments
x
an object of class ExpressionSet.
Author(s)
Evarist Planet
See Also
genefilter::nsFilter
Examples
1
2
3
4
5
#data(eset)
#library(hgu133a.db)
#x <- eset2genelevel(eset)
#x
#head(featureNames(x))
phenoTest documentation built on Nov. 8, 2020, 7:53 p.m.
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Description Usage Arguments Author(s) See Also Examples
View source: R/eset2genelevel.R
Description
Only one probeset per gene will be kept and entrezid will be used as
gene identifier.
nsFilter from package genefilter is used to select the
probeset.
The selected probeset is the one with higher interquartilic range.
Usage
1 |
Arguments
x |
an object of class |
Author(s)
Evarist Planet
See Also
genefilter::nsFilter
Examples
1 2 3 4 5 | #data(eset)
#library(hgu133a.db)
#x <- eset2genelevel(eset)
#x
#head(featureNames(x))
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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