README.md

In kdkorthauer/scDD: Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions

scDD: An R package to identify differentially distributed genes in scRNA-seq

Installation

The Bioconductor landing page is https://bioconductor.org/packages/scDD. To install, make sure you have the current version of Bioconductor, and use the following commands:

install.packages("BiocManager")
BiocManager::install("scDD")

Quick Start

For examples and tips on using the package, please see the vignette PDF here which you can alternatively bring up by typing

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 or by opening a new issue on this page

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

You can obtain this citation within R by typing

citation("scDD")

kdkorthauer/scDD documentation built on March 27, 2022, 5:11 a.m.