hclust_haystack_highD {singleCellHaystack} | R Documentation |
Function for hierarchical clustering of genes according to their distribution in a higher-dimensional space.
Description
Function for hierarchical clustering of genes according to their distribution in a higher-dimensional space.
Usage
hclust_haystack_highD(
x,
detection,
genes,
method = "ward.D",
grid.coordinates = NULL,
scale = TRUE
)
Arguments
x |
Coordinates of cells in a 2D or higher-dimensional space. Rows represent cells, columns the dimensions of the space. |
detection |
A logical matrix showing which genes (rows) are detected in which cells (columns) |
genes |
A set of genes (of the 'detection' data) which will be clustered. |
method |
The method to use for hierarchical clustering. See '?hclust' for more information. Default: "ward.D". |
grid.coordinates |
Coordinates of grid points in the same space as 'x', to be used to estimate densities for clustering. |
scale |
whether to scale data. |
Value
An object of class hclust, describing a hierarchical clustering tree.
Examples
# to be added
[Package singleCellHaystack version 1.0.2 Index]