# scDD: An R package to identify differentially distributed genes in scRNA-seq ## Installation The Bioconductor landing page is [https://bioconductor.org/packages/scDD](https://bioconductor.org/packages/scDD). To install, make sure you have the current version of Bioconductor, and use the following commands: ```R install.packages("BiocManager") BiocManager::install("scDD") ``` ## Quick Start For examples and tips on using the package, please see the vignette PDF [here](http://bioconductor.org/packages/devel/bioc/vignettes/scDD/inst/doc/scDD.pdf) which you can alternatively bring up by typing ```R browseVignettes("scDD") ``` after installing and loading the package into R. ## Getting Help Please send bug reports and feature requests by sending a message to Bioconductor Support at [https://support.bioconductor.org](https://support.bioconductor.org) or by opening a new issue on [this page](https://github.com/kdkorthauer/scDD/issues) ## Citation Please cite the following publication if you use scDD in your work: > Korthauer KD, Chu LF, Newton MA, Li Y, Thomson J, Stewart R, Kendziorski C. A statistical approach for identifying differential distributions in single-cell RNA-seq experiments. Genome Biology. 2016 Oct 25;17(1):222. [https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1077-y](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1077-y) You can obtain this citation within R by typing ```R citation("scDD") ```