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.
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("scone")
HTML | R Script | scone Vignette |
Reference Manual | ||
Text | NEWS |
biocViews | Coverage, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcriptomics |
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 |
Imports | graphics, stats, utils, aroma.light, BiocParallel, class, cluster, compositions, diptest, EDASeq, scran, edgeR, fpc, gplots, grDevices, hexbin, limma, matrixStats, mixtools, RColorBrewer, boot, shiny, miniUI, rhdf5, RUVSeq, DT, NMF, ggplot2, plotly, reshape2, visNetwork, rARPACK |
LinkingTo | |
Suggests | BiocStyle, scRNAseq, knitr, rmarkdown, testthat |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/YosefLab/scone/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
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 |
Package Short Url | http://bioconductor.org/packages/scone/ |
Package Downloads Report | Download Stats |
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