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scOverlay

This is the development version of scOverlay; to use it, please install the devel version of Bioconductor.

Multilayer Plots for Single-Cell Data


Bioconductor version: Development (3.24)

scOverlay provides publication-grade plotting helpers to display a foreground feature (gene expression or metadata) on top of a contextual background (clusters, cell types, samples, or a solid colour) in the same reduced dimension panel, each with independent colour scales (via ggnewscale). It integrates with SingleCellExperiment / SummarizedExperiment, supports flexible subsetting of foreground cells, multiple assays (e.g. counts, logcounts), and grid arrangements by user-defined grouping columns.

Author: Bernat Gel [aut, cre] ORCID iD ORCID: 0000-0001-8878-349X

Maintainer: Bernat Gel <bgel at igtp.cat>

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

Bernat Gel. scOverlay: Multilayer Plots for Single-Cell Data. doi:10.18129/B9.bioc.scOverlay, R package version 0.99.5, https://bioconductor.org/packages/scOverlay.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("scOverlay")

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("scOverlay")
scOverlay: layered visualization of single-cell embeddings HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DataRepresentation, GeneExpression, SingleCell, Software, Transcriptomics, Visualization
Version0.99.5
In Bioconductor sinceBioC 3.24 (R-4.6)
License Artistic-2.0
Depends R (>= 4.5.0)
Imports ggplot2, ggnewscale, SummarizedExperiment, SingleCellExperiment, viridisLite, scales, RColorBrewer, patchwork, ggrastr, rlang
System Requirements
URLhttps://github.com/bernatgel/scOverlay
Bug Reportshttps://github.com/bernatgel/scOverlay/issues
See More
Suggests knitr, rmarkdown, testthat (>= 3.0.0), BiocStyle
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Package Archives

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

Source Package scOverlay_0.99.5.tar.gz
Windows Binary (x86_64) scOverlay_0.99.5.zip (64-bit only)
macOS Binary (big-sur-x86_64) scOverlay_0.99.5.tgz
macOS Binary (sonoma-arm64) scOverlay_0.99.5.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scOverlay
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scOverlay
Package Short Url https://bioconductor.org/packages/scOverlay/
Package Downloads ReportDownload Stats