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
Citation (from within R, entercitation("scone")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("//www.anjoumacpherson.com/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 | 1.2.0 |
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,集群,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 |
Followbob 体育网址 在你使用这个包R指示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 | //www.anjoumacpherson.com/packages/scone/ |
Package Downloads Report | Download Stats |
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