Three types of heatmaps are provided, employed in various places in the rnaseq app (for example), and using much of the same code. Expresssion heatmaps plot expression for samples by column and e.g. genes by row. A samples heatmap plots samples vs samples to illustrate correlation patterns. A pca heatmap plots the results of anova tests applied to examine the associations between principal components and experimental variables.
Examples
heatmapOutput("heatmap")
#> Error in heatmapOutput("heatmap"): could not find function "heatmapOutput"
# Almost certainly used via application creation
data(airway, package = "airway")
ese <- as(airway, "ExploratorySummarizedExperiment")
eselist <- ExploratorySummarizedExperimentList(ese)
#> Creating ExploratorySummarizedExperimentList object
if (interactive()) {
app <- prepare_app("heatmap", eselist)
shiny::shinyApp(ui = app$ui, server = app$server)
}
