plotDegPca: Plot differentially expressed gene principal component...
In steinbaugh/bioverbs: Acid Genomics Generics
plotDegPca R Documentation
Plot differentially expressed gene principal component analysis
Description
This function is an extension of plotPCA() that is optimized for automatic
handling of differentially expressed genes, rather than requiring manual
input of a gene vector or subset object.
Usage
plotDegPca(object, ...)
Arguments
object
Object.
...
Additional arguments.
Details
To adjust the annotation columns, modify the colData() of the counts
argument, which must contain/extend a SummarizedExperiment.
Value
Plot.
Examples
showMethods("plotDegPca")
steinbaugh/bioverbs documentation built on April 10, 2024, 7:21 a.m.
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| plotDegPca | R Documentation |
Plot differentially expressed gene principal component analysis
Description
This function is an extension of plotPCA() that is optimized for automatic
handling of differentially expressed genes, rather than requiring manual
input of a gene vector or subset object.
Usage
plotDegPca(object, ...)
Arguments
object |
Object. |
... |
Additional arguments. |
Details
To adjust the annotation columns, modify the colData() of the counts
argument, which must contain/extend a SummarizedExperiment.
Value
Plot.
Examples
showMethods("plotDegPca")
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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