scone

DOI: 10.18129/B9.bioc.scone    

Single Cell Overview of Normalized Expression data

Bioconductor version: Release (3.6)

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>

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

biocViews	Coverage, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Version	1.2.0
In Bioconductor since	BioC 3.5 (R-3.4) (1 year)
License	Artistic-2.0
Depends	R (>= 3.4), methods, SummarizedExperiment
Imports	graphics, stats, utils, aroma.light, BiocParallel, class, cluster, compositions, diptest, edgeR, fpc, gplots, grDevices, hexbin, limma, matrixStats, mixtools, RColorBrewer, boot, rhdf5, RUVSeq, rARPACK
LinkingTo
Suggests	BiocStyle, DT, ggplot2, knitr, miniUI, NMF, plotly, reshape2, rmarkdown, scran, scRNAseq, shiny, testthat, visNetwork
SystemRequirements
Enhances
URL
BugReports	https://github.com/YosefLab/scone/issues
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	scone_1.2.0.tar.gz
Windows Binary	scone_1.2.0.zip
Mac OS X 10.11 (El Capitan)	scone_1.2.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/scone
Package Short Url	http://bioconductor.org/packages/scone/
Package Downloads Report	Download Stats