ggsc
Visualizing Single Cell and Spatial Transcriptomics
Bioconductor version: Release (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] , Noriaki Sato [ctb]
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")
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 | ||
| NEWS | Text |
Details
| biocViews | DimensionReduction, GeneExpression, SingleCell, Software, Spatial, Transcriptomics, Visualization |
| Version | 1.2.0 |
| In Bioconductor since | BioC 3.18 (R-4.3) (1 year) |
| License | Artistic-2.0 |
| Depends | |
| Imports | Rcpp, RcppParallel, cli, dplyr, ggfun, ggplot2, grDevices, grid, methods, rlang, scattermore, stats, Seurat, SingleCellExperiment, SummarizedExperiment, tidydr, tidyr, tibble, utils, RColorBrewer, yulab.utils, scales |
| 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, scatterpie, 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_1.2.0.tar.gz |
| Windows Binary (x86_64) | ggsc_1.2.0.zip |
| macOS Binary (x86_64) | ggsc_1.2.0.tgz |
| macOS Binary (arm64) | ggsc_1.2.0.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 |