scran
Methods for Single-Cell RNA-Seq Data Analysis
Bioconductor version: Release (3.19)
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("scran")
):
Installation
To install this package, start R (version "4.4") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scran")
Using scran to analyze scRNA-seq data | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Clustering, GeneExpression, ImmunoOncology, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics |
Version | 1.32.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (8.5 years) |
License | GPL-3 |
Depends | SingleCellExperiment, scuttle |
Imports | SummarizedExperiment, S4Vectors, BiocGenerics, BiocParallel, Rcpp, stats, methods, utils, Matrix, edgeR, limma, igraph, statmod, DelayedArray, DelayedMatrixStats, BiocSingular, bluster, metapod, dqrng, beachmat |
System Requirements | C++11 |
URL |
See More
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | scran_1.32.0.tar.gz |
Windows Binary | scran_1.32.0.zip |
macOS Binary (x86_64) | scran_1.32.0.tgz |
macOS Binary (arm64) | scran_1.32.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scran |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scran |
Bioc Package Browser | https://code.bioconductor.org/browse/scran/ |
Package Short Url | https://bioconductor.org/packages/scran/ |
Package Downloads Report | Download Stats |