annotatedCluster: Annotated hierarchical clustering

In xpastor/skima:

Description

Annotated hierarchical clustering

Usage

annotatedCluster(mat, scale = T, center = T, annotation = NULL,
  dend_height = unit(5, "cm"), silent = T, ...)

Arguments

mat	a matrix, with the samples organized in columns.
scale	either a logical value or a numeric vector of length equal to the number of columns of ‘x’. Scale the data before clustering.
center	either a logical value or a numeric vector of length equal to the number of columns of ‘x’. Center the data before clustering.
annotation	a data frame. Each column will be treated as a simple annotation. The data frame must have column names.
dend_height	height of the column cluster, should be a ‘unit’ object.
...	functions which define complex annotations or vectors of simple annotation. Values should be named arguments to be passed to 'Heatmap' function from 'ComplexHeatmap' package.

xpastor/skima documentation built on May 16, 2019, 3:25 p.m.