ggsc

Visualizing Single Cell and Spatial Transcriptomics

Bioconductor version: 3.23 · Package version: 1.10.1

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'.

Installation

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

BiocManager::install("ggsc")

Details

Maintainer	Guangchuang Yu <guangchuangyu@gmail.com>
Author	Guangchuang Yu [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-6485-8781>), Shuangbin Xu [aut] (ORCID: <https://orcid.org/0000-0003-3513-5362>), Noriaki Sato [ctb]
License	Artistic-2.0
URL	https://github.com/YuLab-SMU/ggsc (devel), https://yulab-smu.top/ggsc/ (docs)
Bug Reports	https://github.com/YuLab-SMU/ggsc/issues
System Requirements	GNU make
Downloads rank	248
Source branch	RELEASE_3_23
biocViews	DimensionReduction, GeneExpression, SingleCell, Software, Spatial, Transcriptomics, Visualization

Documentation

Visualizing single cell data

Download

Source package

Dependencies

Depends: R (>= 4.1.0)

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

LinkingTo: Rcpp, RcppArmadillo, RcppParallel

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

Reverse dependencies

Suggests Me (1): SVP