plotSpatialClustering: Plot results of clustering based on predicted cell...

In SpatialDDLS: Deconvolution of Spatial Transcriptomics Data Based on Neural Networks

Plot results of clustering based on predicted cell proportions

Description

Color spots on the spatial coordinates according to the results of clustering based on predicted proportions.

Usage

plotSpatialClustering(
  object,
  index.st,
  method,
  k.nn,
  k.centers,
  colors,
  size.point = 1,
  title = NULL,
  theme = NULL
)

Arguments

object	A SpatialDDLS object.
index.st	Index of the spatial transcriptomics data to be plotted. It can be either a position or a name if a named list of SpatialExperiment objects was provided.
method	Clustering method results to plot. It can be "graph" or "k.means". If missing, the first configuration found in the object will be plotted.
k.nn	Number of nearest neighbors used if method == "graph".
k.centers	Number of k centers used if method == "k.means".
colors	Vector of colors to be used.
size.point	Size of points (0.1 by default).
title	Title of plot.
theme	ggplot2 theme.

Value

A ggplot object.

See Also

spatialPropClustering deconvSpatialDDLS

SpatialDDLS documentation built on Oct. 31, 2024, 5:07 p.m.