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Visualizing Single Cell Data

Bioconductor version: Release (3.18)

Useful functions to visualize single cell and spatial data. It supports both 'SingleCellExperiment' and 'Seurat' objects. It also supports visualizing the data using grammar of graphics implemented in 'ggplot2'.

Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]

Maintainer: Guangchuang Yu <guangchuangyu at>

Citation (from within R, enter citation("ggsc")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Visualizing single cell data HTML R Script
Reference Manual PDF


biocViews DimensionReduction, GeneExpression, SingleCell, Software, Spatial, Transcriptomics, Visualization
Version 1.0.2
In Bioconductor since BioC 3.18 (R-4.3) (< 6 months)
License Artistic-2.0
Imports Rcpp, RcppParallel, cli, dplyr, ggplot2, grDevices, grid, methods, rlang, scattermore, stats, Seurat, SingleCellExperiment, SummarizedExperiment, tidydr, tidyr, tibble, utils, yulab.utils
System Requirements
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Suggests aplot, BiocParallel, forcats, ggforce, ggnewscale, igraph, knitr, ks, Matrix, prettydoc, rmarkdown, scran, scater, scuttle, shadowtext, sf, SeuratObject, SpatialExperiment, STexampleData, testthat (>= 3.0.0)
Linking To Rcpp, RcppArmadillo, RcppParallel
Depends On Me
Imports Me
Suggests Me
Links To Me
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package ggsc_1.0.2.tar.gz
Windows Binary
macOS Binary (x86_64) ggsc_1.0.2.tgz
macOS Binary (arm64) ggsc_1.0.2.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats
Old Source Packages for BioC 3.18 Source Archive