Generate heatmap

Generate a heatmap from a defined assay.

makeAbundanceHeatmap(sce, assayToPlot, doCenter, settings = "report", ...)

Arguments

sce

A SummarizedExperiment object (or a derivative).

assayToPlot

Character scalar giving the name of the assay in sce to plot.

doCenter

Logical scalar, whether to center the abundance values by row before creating the heatmap.

settings

Character scalar or NULL. Setting this to either "report" or "export" creates heatmaps with specific settings used in einprot reports and when exporting the heatmap to a pdf. Setting it to NULL allows any argument to be passed to ComplexHeatmap::Heatmap via the ... argument.

...

If settings is NULL, additional arguments passed to ComplexHeatmap::Heatmap.

Value

A ComplexHeatmap object.

Author

Charlotte Soneson

Examples

sce <- readRDS(system.file("extdata", "mq_example", "1356_sce.rds",
                           package = "einprot"))
hm <- makeAbundanceHeatmap(sce, assayToPlot = "log2_LFQ.intensity",
                           doCenter = TRUE, settings = "report")
#> 'magick' package is suggested to install to give better rasterization.
#> 
#> Set `ht_opt$message = FALSE` to turn off this message.
ComplexHeatmap::draw(hm)

hm <- makeAbundanceHeatmap(sce, assayToPlot = "log2_LFQ.intensity",
                           doCenter = TRUE, settings = "export")
#> 'magick' package is suggested to install to give better rasterization.
#> 
#> Set `ht_opt$message = FALSE` to turn off this message.
ComplexHeatmap::draw(hm)