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Bioconductor - ggsc

ggsc

This is the released version of ggsc; for the devel version, see ggsc.

Visualizing Single Cell and Spatial Transcriptomics

Bioconductor version: Release (3.21)

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] ORCID: 0000-0002-6485-8781 , Shuangbin Xu [aut] ORCID: 0000-0003-3513-5362 , 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 "4.5") 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")
Details biocViews DimensionReduction, GeneExpression, SingleCell, Software, Spatial, Transcriptomics, Visualization Version 1.6.1 In Bioconductor since BioC 3.18 (R-4.3) (1.5 years) License Artistic-2.0 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 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 SVP Links To Me Build Report Build Report Package Archives

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

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