SCONE (Single-Cell Overview of Normalized Expression), a package for single-cell RNA-seq data quality control (QC) and normalization. This data-driven framework uses summaries of expression data to assess the efficacy of normalization workflows.

We recommend installation of the package via bioconductor.

source("https://bioconductor.org/biocLite.R")
biocLite("scone")

Note that SCONE is currently in Bioconductor devel and hence requires R-devel (>= 3.4).

Usually not recommended. SCONE is under active development. To download the development version of the package, use the devtools package.

library(devtools)
install_github("YosefLab/scone")

You can download the latest release of SCONE for R 3.3 here.