heatmap: The server function of the heatmap module

In pinin4fjords/shinyngs: Shiny apps for NGS data

The server function of the heatmap module

Description

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.

Usage

heatmap(input, output, session, eselist, type = "expression")

Arguments

input	Input object
output	Output object
session	Session object
eselist	ExploratorySummarizedExperimentList object containing ExploratorySummarizedExperiment objects
type	The type of heatmap that will be made. 'expression', 'samples' or 'pca' (default: 'expression')

Details

This function is not called directly, but rather via callModule() (see example).

Examples

callModule(heatmap, "heatmap", eselist, type = "pca")

# Almost certainly used via application creation

data(zhangneurons)
app <- prepareApp("heatmap", zhangneurons)
shiny::shinyApp(ui = app$ui, server = app$server)

pinin4fjords/shinyngs documentation built on Jan. 18, 2025, 7:09 p.m.