plotDegHeatmap | R Documentation |
This function is an extension of plotHeatmap()
that is optimized for
automatic handling differentially expressed genes, rather than requiring
manual input of a gene vector. All of the optional parameters for
plotHeatmap()
are also supported by this function.
plotDegHeatmap(object, ...)
## S4 method for signature 'DESeqAnalysis'
plotDegHeatmap(
object,
i,
contrastSamples = FALSE,
alphaThreshold = NULL,
baseMeanThreshold = NULL,
lfcThreshold = NULL,
...
)
## S4 method for signature 'DESeqResults'
plotDegHeatmap(
object,
DESeqTransform,
direction = c("both", "up", "down"),
alphaThreshold = NULL,
baseMeanThreshold = NULL,
lfcThreshold = NULL,
title = TRUE,
subtitle = TRUE,
...
)
object |
Object. |
i |
Indices specifying elements to extract or replace. Indices are For more information: help(topic = "Extract", package = "base") |
contrastSamples |
|
alphaThreshold |
|
baseMeanThreshold |
|
lfcThreshold |
|
... |
Additional arguments. |
DESeqTransform |
|
direction |
|
title |
|
subtitle |
|
To adjust the annotation columns, modify the
colData()
of the counts
argument, which
must contain a SummarizedExperiment
.
Plot.
plotDegHeatmap(DESeqAnalysis)
: Passes to DESeqResults
method.
plotDegHeatmap(DESeqResults)
: Passes to plotHeatmap()
SummarizedExperiment
method defined in AcidPlots.
Updated 2022-04-15.
data(deseq)
## DESeqAnalysis ====
plotDegHeatmap(deseq, i = 1L)
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