This is the released version of scDD; for the devel version, see scDD.
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributionsBioconductor version: Release (3.21)
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: 0000-0002-4565-1654
Maintainer: Keegan Korthauer <keegan at stat.ubc.ca>
Citation (from within R, entercitation("scDD")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("scDD")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scDD")Follow Installation instructions to use this package in your R session.
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