unsupervised: Unsupervised heatmap by standard deviation

In sean-cho/toolkit: Toolkit for data manipulation and plotting.

Description

unsupervised Performs unsupervised clustering on the most variable features. Also returns the names of the features.

Usage

unsupervised(x, n, col = colorRampPalette(c("blue", "black", "yellow"))(50),
  get_hm = FALSE, main = NULL, ...)

Arguments

x	Numeric matrix with samples in columns and features in rows.
n	Number of features.
col	Color for heatmap. Defaults to blue-black-yellow color scheme.
get_hm	Logical vector whether to return heatmap with feature names.
main	Title.
...	Passes arguments to heatmap.2

Details

Finds the most variable features across all samples by standard deviation, clusters them, and plots it on a heatmap using the heatmap.2 function.

Value

A heatmap.2 object and plot.

See Also

heatmap.2

sean-cho/toolkit documentation built on May 29, 2019, 4:24 p.m.