Bioconductor – scDataviz

DOI: 10.18129/B9.bioc.scDataviz  

This package is for version 3.12 of Bioconductor;
for the stable, up-to-date release version, see
scDataviz.

scDataviz: single cell dataviz and downstream analyses

Bioconductor version: 3.12

In the single cell World, which includes flow cytometry, mass cytometry, single-cell RNA-seq (scRNA-seq), and others, there is a need to improve data visualisation and to bring analysis capabilities to researchers even from non-technical backgrounds. scDataviz attempts to fit into this space, while also catering for advanced users. Additonally, due to the way that scDataviz is designed, which is based on SingleCellExperiment, it has a ‘plug and play’ feel, and immediately lends itself as flexibile and compatibile with studies that go beyond scDataviz. Finally, the graphics in scDataviz are generated via the ggplot engine, which means that users can ‘add on’ features to these with ease.

Author: Kevin Blighe [aut, cre]

Maintainer: Kevin Blighe <kevin at clinicalbioinformatics.co.uk>

Installation

To install this package, start R (version
“4.0”) and enter:

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

BiocManager::install("scDataviz")

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("scDataviz")

Details

Package Archives

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