Bioconductor version: Release (3.14)
Implements miscellaneous functions for interpretation of single-cell RNA-seq data. Methods are provided for assignment of cell cycle phase, detection of highly variable and significantly correlated genes, identification of marker genes, and other common tasks in routine single-cell analysis workflows.
Author: Aaron Lun [aut, cre], Karsten Bach [aut], Jong Kyoung Kim [ctb], Antonio Scialdone [ctb]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>
Citation (from within R,
enter citation("scran")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("scran")
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("scran")
HTML | R Script | Using scran to analyze scRNA-seq data |
Reference Manual | ||
Text | NEWS |
Follow Installation instructions to use this package in your R session.
Source Package | scran_1.22.1.tar.gz |
Windows Binary | scran_1.22.1.zip |
macOS 10.13 (High Sierra) | scran_1.22.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scran |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scran |
Package Short Url | https://bioconductor.org/packages/scran/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.14 | Source Archive |
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