ggsc
Visualizing Single Cell and Spatial Transcriptomics
Bioconductor version: Release (3.20)
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 | 1.4.0 |
In Bioconductor since | BioC 3.18 (R-4.3) (1 year) |
License | Artistic-2.0 |
Depends | |
Imports | Rcpp, RcppParallel, cli, dplyr, ggfun (>= 0.1.5), 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 (>= 0.2.4), scuttle, shadowtext, sf, SeuratObject, SpatialExperiment, STexampleData, testthat (>= 3.0.0), MASS |
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_1.4.0.tar.gz |
Windows Binary (x86_64) | ggsc_1.4.0.zip |
macOS Binary (x86_64) | ggsc_1.4.0.tgz |
macOS Binary (arm64) | ggsc_1.4.0.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 |