plotQuantileHeatmap | R Documentation |
Quantile heatmap
plotQuantileHeatmap(object, ...)
## S4 method for signature 'SingleCellExperiment'
plotQuantileHeatmap(object, ...)
## S4 method for signature 'SummarizedExperiment'
plotQuantileHeatmap(
object,
assay = 1L,
interestingGroups = NULL,
n = 10L,
clusterRows = TRUE,
clusterCols = TRUE,
showRownames = isTRUE(nrow(object) <= 30L),
showColnames = TRUE,
treeheightRow = 50L,
treeheightCol = 50L,
color = getOption(x = "acid.heatmap.quantile.color", default = viridis::magma),
legendColor = getOption(x = "acid.heatmap.legend.color", default =
AcidPlots::synesthesia),
legend = FALSE,
borderColor = NULL,
title = NULL,
convertGenesToSymbols = showRownames,
...
)
object |
Object. |
... |
Additional arguments. |
assay |
|
interestingGroups |
|
n |
|
clusterRows , clusterCols |
|
showRownames , showColnames |
|
treeheightRow , treeheightCol |
|
color |
We generally recommend these hexadecimal functions from the viridis
package, in addition to our
Alternatively, colors can be defined manually using hexadecimal values
(e.g. |
legendColor |
|
legend |
|
borderColor |
|
title |
|
convertGenesToSymbols |
|
Plot.
Updated 2022-03-07.
data(
RangedSummarizedExperiment,
SingleCellExperiment_splatter,
package = "AcidTest"
)
## SummarizedExperiment ====
object <- RangedSummarizedExperiment
plotQuantileHeatmap(object)
## SingleCellExperiment ====
object <- SingleCellExperiment_splatter
plotQuantileHeatmap(object)
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