To install this package, start R and enter:

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

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

scone

DOI: 10.18129/B9.bioc.scone

Single Cell Overview of Normalized Expression data

Bioconductor version: Release (3.5)

SCONE is an R package for comparing and ranking the performance of different normalization schemes for single-cell RNA-seq and other high-throughput analyses.

Author: Michael Cole [aut, cre, cph], Davide Risso [aut, cph]

Maintainer: Michael Cole <mbeloc at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

HTML R Script scone Vignette
PDF Reference Manual
Text NEWS

Details

Version 1.0.0
In Bioconductor since BioC 3.5 (R-3.4) (0.5 years)
License Artistic-2.0
Depends R (>= 3.4), methods, SummarizedExperiment
LinkingTo
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Source Package scone_1.0.0.tar.gz
Windows Binary scone_1.0.0.zip
Mac OS X 10.11 (El Capitan) scone_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/scone
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