kdkorthauer/scDD: Mixture modeling of single-cell RNA-seq data to indentify genes with differential distributions
Version 1.1.7

This package implements a method to analyze single-cell RNA- seq Data utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The package also includes functions for simulating data with these patterns from negative binomial distributions.

Getting started

Package details

AuthorKeegan Korthauer
Bioconductor views Bayesian Clustering DifferentialExpression MultipleComparison RNASeq SingleCell Visualization
MaintainerKeegan Korthauer <[email protected]>
LicenseGPL-2
Version1.1.7
URL https://github.com/kdkorthauer/scDD
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("kdkorthauer/scDD")
kdkorthauer/scDD documentation built on Oct. 24, 2017, 5:52 a.m.