kmeans_haystack_raw: Function for k-means clustering of genes according to their...

In singleCellHaystack: A Universal Differential Expression Prediction Tool for Single-Cell and Spatial Genomics Data

Function for k-means clustering of genes according to their distribution on a 2D plot.

Description

Function for k-means clustering of genes according to their distribution on a 2D plot.

Usage

kmeans_haystack_raw(x, y, detection, genes, k, ...)

Arguments

x	x-axis coordinates of cells in a 2D representation (e.g. resulting from PCA or t-SNE)
y	y-axis coordinates of cells in a 2D representation
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.
k	The number of clusters to return.
...	Additional parameters which will be passed on to the kmeans function.

Value

An object of class kmeans, describing a clustering into 'k' clusters

singleCellHaystack documentation built on Dec. 28, 2022, 1:29 a.m.