scDD

This is the development version of scDD; for the stable release version, see scDD.

Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions

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DOI: 10.18129/B9.bioc.scDD

Bioconductor version: Development (3.23)

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.

Author: Keegan Korthauer [cre, aut] ORCID iD ORCID: 0000-0002-4565-1654

Maintainer: Keegan Korthauer <keegan at stat.ubc.ca>

Citation (from within R, enter citation("scDD")):

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("scDD")

For older versions of R, please refer to the appropriate Bioconductor release.