## SCONE ##
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### Single-Cell Overview of Normalized Expression data ###
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.
### To Install ###
The easiest way to install the package is to type in R
```{r}
source("https://bioconductor.org/biocLite.R")
biocLite("devtools")
biocLite("YosefLab/scone", dependencies=TRUE)
```
Note that SCONE is currently under consideration in Bioconductor and hence requires R-devel (>= 3.4) and Bioconductor devel.
You can download the latest release of SCONE for R 3.3 [here](https://github.com/YosefLab/scone/releases/tag/v0.99.0).