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Bioconductor 3.22 Released

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scone

This is thereleased version of scone; for the devel version, seescone.

Single Cell Overview of Normalized Expression data

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DOI: 10.18129/B9.bioc.scone


Bioconductor version: Release (3.22)

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, cph], Davide Risso [aut, cre, cph], Matteo Borella [ctb], Chiara Romualdi [ctb]

Maintainer: Davide Risso <risso.davide at gmail.com>

Citation (from within R, entercitation("scone")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("scone")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("scone")
Introduction to SCONEHTMLR Script
PsiNorm normalizationHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsCoverage,GeneExpression,ImmunoOncology,Normalization,Preprocessing,QualityControl,RNASeq,Sequencing,SingleCell,Software,Transcriptomics
Version1.34.0
In Bioconductor sinceBioC 3.5 (R-3.4) (8.5 years)
LicenseArtistic-2.0
DependsR (>= 3.4), methods,SummarizedExperiment
Importsgraphics, stats, utils,aroma.light,BiocParallel,class,cluster,compositions,diptest,edgeR,fpc,gplots, grDevices,hexbin,limma,matrixStats,mixtools,RColorBrewer,boot,rhdf5,RUVSeq,rARPACK,MatrixGenerics,SingleCellExperiment,DelayedMatrixStats,sparseMatrixStats,SparseArray(>= 1.7.6)
System Requirements
URL
Bug Reportshttps://github.com/YosefLab/scone/issues
See More
SuggestsBiocStyle,DT,ggplot2,knitr,miniUI,NMF,plotly,reshape2,rmarkdown,scran,scRNAseq,shiny,testthat,DelayedArray,visNetwork,doParallel,batchtools,splatter,scater,kableExtra,mclust,TENxPBMCData
Linking To
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Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source Packagescone_1.34.0.tar.gz
Windows Binary (x86_64) scone_1.34.0.zip
macOS Binary (x86_64)scone_1.34.0.tgz
macOS Binary (arm64)scone_1.34.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/scone
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/scone
Bioc Package Browserhttps://code.bioconductor.org/browse/scone/
Package Short Urlhttps://bioconductor.org/packages/scone/
Package Downloads ReportDownload Stats

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