To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("scran")

In most cases, you don't need to download the package archive at all.

scran

DOI: 10.18129/B9.bioc.scran

Methods for Single-Cell RNA-Seq Data Analysis

Bioconductor version: Release (3.5)

Implements a variety of low-level analyses of single-cell RNA-seq data. Methods are provided for normalization of cell-specific biases, assignment of cell cycle phase, and detection of highly variable and significantly correlated genes.

Author: Aaron Lun [aut, cre], Karsten Bach [aut], Jong Kyoung Kim [ctb], Antonio Scialdone [ctb], Laleh Haghverdi [ctb]

Maintainer: Aaron Lun <alun at wehi.edu.au>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("scran")

Documentation

HTML R Script Using scran to perform basic analyses of single-cell RNA-seq data
PDF Reference Manual
Text NEWS

Details

Version 1.4.5
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License GPL-3
Depends R (>= 3.4), BiocParallel, scater
Imports Biobase, stats, methods, utils, graphics, grDevices, Matrix, edgeR, limma, dynamicTreeCut, FNN, igraph, shiny, zoo, statmod, splines, ggplot2, MASS, DT, viridis
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SystemRequirements
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Depends On Me
Imports Me scDD, scone
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Package Archives

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

Source Package scran_1.4.5.tar.gz
Windows Binary scran_1.4.5.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) scran_1.4.5.tgz
Source Repository git clone https://git.bioconductor.org/packages/scran
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