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ggsc

This is the development version of ggsc; for the stable release version, see ggsc.

Visualizing Single Cell and Spatial Transcriptomics


Bioconductor version: Development (3.19)

Useful functions to visualize single cell and spatial data. It supports visualizing 'Seurat', 'SingleCellExperiment' and 'SpatialExperiment' objects through grammar of graphics syntax implemented in 'ggplot2'.

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

Maintainer: Guangchuang Yu <guangchuangyu at gmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("ggsc")

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

Documentation

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

browseVignettes("ggsc")
Visualizing single cell data HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews DimensionReduction, GeneExpression, SingleCell, Software, Spatial, Transcriptomics, Visualization
Version 1.1.2
In Bioconductor since BioC 3.18 (R-4.3) (< 6 months)
License Artistic-2.0
Depends
Imports Rcpp, RcppParallel, cli, dplyr, ggplot2, grDevices, grid, methods, rlang, scattermore, stats, Seurat, SingleCellExperiment, SummarizedExperiment, tidydr, tidyr, tibble, utils, RColorBrewer, yulab.utils
System Requirements GNU make
URL https://github.com/YuLab-SMU/ggsc(devel) https://yulab-smu.top/ggsc/(docs)
Bug Reports https://github.com/YuLab-SMU/ggsc/issues
See More
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
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package ggsc_1.1.2.tar.gz
Windows Binary ggsc_1.1.2.zip
macOS Binary (x86_64) ggsc_1.1.2.tgz
macOS Binary (arm64) ggsc_1.1.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/ggsc
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/ggsc
Bioc Package Browser https://code.bioconductor.org/browse/ggsc/
Package Short Url https://bioconductor.org/packages/ggsc/
Package Downloads Report Download Stats