SeuratTheme: Seurat Themes

In Seurat: Tools for Single Cell Genomics

Seurat Themes

Description

Various themes to be applied to ggplot2-based plots

SeuratTheme

The curated Seurat theme, consists of ...

DarkTheme

A dark theme, axes and text turn to white, the background becomes black

NoAxes

Removes axis lines, text, and ticks

NoLegend

Removes the legend

FontSize

Sets axis and title font sizes

NoGrid

Removes grid lines

SeuratAxes

Set Seurat-style axes

SpatialTheme

A theme designed for spatial visualizations (eg PolyFeaturePlot, PolyDimPlot)

RestoreLegend

Restore a legend after removal

RotatedAxis

Rotate X axis text 45 degrees

BoldTitle

Enlarges and emphasizes the title

Usage

SeuratTheme()

CenterTitle(...)

DarkTheme(...)

FontSize(
  x.text = NULL,
  y.text = NULL,
  x.title = NULL,
  y.title = NULL,
  main = NULL,
  ...
)

NoAxes(..., keep.text = FALSE, keep.ticks = FALSE)

NoLegend(...)

NoGrid(...)

SeuratAxes(...)

SpatialTheme(...)

RestoreLegend(..., position = "right")

RotatedAxis(...)

BoldTitle(...)

WhiteBackground(...)

Arguments

...	Extra parameters to be passed to theme
x.text, y.text	X and Y axis text sizes
x.title, y.title	X and Y axis title sizes
main	Plot title size
keep.text	Keep axis text
keep.ticks	Keep axis ticks
position	A position to restore the legend to

Value

A ggplot2 theme object

See Also

theme

Examples

# Generate a plot with a dark theme
library(ggplot2)
df <- data.frame(x = rnorm(n = 100, mean = 20, sd = 2), y = rbinom(n = 100, size = 100, prob = 0.2))
p <- ggplot(data = df, mapping = aes(x = x, y = y)) + geom_point(mapping = aes(color = 'red'))
p + DarkTheme(legend.position = 'none')

# Generate a plot with no axes
library(ggplot2)
df <- data.frame(x = rnorm(n = 100, mean = 20, sd = 2), y = rbinom(n = 100, size = 100, prob = 0.2))
p <- ggplot(data = df, mapping = aes(x = x, y = y)) + geom_point(mapping = aes(color = 'red'))
p + NoAxes()

# Generate a plot with no legend
library(ggplot2)
df <- data.frame(x = rnorm(n = 100, mean = 20, sd = 2), y = rbinom(n = 100, size = 100, prob = 0.2))
p <- ggplot(data = df, mapping = aes(x = x, y = y)) + geom_point(mapping = aes(color = 'red'))
p + NoLegend()

# Generate a plot with no grid lines
library(ggplot2)
df <- data.frame(x = rnorm(n = 100, mean = 20, sd = 2), y = rbinom(n = 100, size = 100, prob = 0.2))
p <- ggplot(data = df, mapping = aes(x = x, y = y)) + geom_point(mapping = aes(color = 'red'))
p + NoGrid()

Seurat documentation built on June 8, 2025, 12:24 p.m.