This module plots the expression profiles (scaled for comparison) of the
selected rows of the input matrix provided by the selectmatrix module.
Details
The clara method, a fast approximation of
partitioning about medoids, is used to produce the clusters. As well as
defining the input matrix users can decide how the clusters are drawn and how
many clusters should be generated.
This funcion provides the form elements to control the display
Examples
library(shinyngs)
data(airway, package = "airway")
ese <- as(airway, "ExploratorySummarizedExperiment")
eselist <- ExploratorySummarizedExperimentList(ese)
#> Creating ExploratorySummarizedExperimentList object
clusteringInput("myid", eselist)
#> Error in clusteringInput("myid", eselist): could not find function "clusteringInput"
