This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see scater.
Bioconductor version: 3.11
A collection of tools for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control and visualization.
Author: Davis McCarthy [aut, cre], Kieran Campbell [aut], Aaron Lun [aut, ctb], Quin Wills [aut], Vladimir Kiselev [ctb]
Maintainer: Davis McCarthy <davis at ebi.ac.uk>
Citation (from within R,
enter citation("scater")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("scater")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scater")
HTML | R Script | Overview of scater functionality |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Source Package | scater_1.16.2.tar.gz |
Windows Binary | scater_1.16.2.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | scater_1.16.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scater |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scater |
Package Short Url | https://bioconductor.org/packages/scater/ |
Package Downloads Report | Download Stats |
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