plotDimReduceCluster: Plotting the cell labels on a dimension reduction plot

In celda: CEllular Latent Dirichlet Allocation

Description

Create a scatterplot for each row of a normalized gene expression matrix where x and y axis are from a data dimension reduction tool. The cells are colored by "celda_cell_cluster" column in colData(altExp(x, altExpName)) if x is a SingleCellExperiment object, or x if x is a integer vector of cell cluster labels.

Usage

plotDimReduceCluster(x, ...)

## S4 method for signature 'SingleCellExperiment'
plotDimReduceCluster(
  x,
  reducedDimName,
  altExpName = "featureSubset",
  dim1 = NULL,
  dim2 = NULL,
  size = 1,
  xlab = "Dimension_1",
  ylab = "Dimension_2",
  specificClusters = NULL,
  labelClusters = FALSE,
  groupBy = NULL,
  labelSize = 3.5
)

## S4 method for signature 'vector'
plotDimReduceCluster(
  x,
  dim1,
  dim2,
  size = 1,
  xlab = "Dimension_1",
  ylab = "Dimension_2",
  specificClusters = NULL,
  labelClusters = FALSE,
  groupBy = NULL,
  labelSize = 3.5
)

Arguments

x	Integer vector of cell cluster labels or a SingleCellExperiment object containing cluster labels for each cell in "celda_cell_cluster" column in colData(x).
...	Ignored. Placeholder to prevent check warning.
reducedDimName	The name of the dimension reduction slot in reducedDimNames(x) if x is a SingleCellExperiment object. Ignored if both dim1 and dim2 are set.
altExpName	The name for the altExp slot to use. Default "featureSubset".
dim1	Numeric vector. First dimension from data dimension reduction output.
dim2	Numeric vector. Second dimension from data dimension reduction output.
size	Numeric. Sets size of point on plot. Default 1.
xlab	Character vector. Label for the x-axis. Default "Dimension_1".
ylab	Character vector. Label for the y-axis. Default "Dimension_2".
specificClusters	Numeric vector. Only color cells in the specified clusters. All other cells will be grey. If NULL, all clusters will be colored. Default NULL.
labelClusters	Logical. Whether the cluster labels are plotted. Default FALSE.
groupBy	Character vector. Contains sample labels for each cell. If NULL, all samples will be plotted together. Default NULL.
labelSize	Numeric. Sets size of label if labelClusters is TRUE. Default 3.5.

Value

The plot as a ggplot object

Examples

data(sceCeldaCG)
sce <- celdaTsne(sceCeldaCG)
plotDimReduceCluster(x = sce,
  reducedDimName = "celda_tSNE",
  specificClusters = c(1, 2, 3))
library(SingleCellExperiment)
data(sceCeldaCG, celdaCGMod)
sce <- celdaTsne(sceCeldaCG)
plotDimReduceCluster(x = celdaClusters(celdaCGMod)$z,
  dim1 = reducedDim(altExp(sce), "celda_tSNE")[, 1],
  dim2 = reducedDim(altExp(sce), "celda_tSNE")[, 2],
  specificClusters = c(1, 2, 3))

celda documentation built on Nov. 8, 2020, 8:24 p.m.