DOI: 10.18129/B9.bioc.scDD  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see scDD.

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

Bioconductor version: 3.16

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]

Maintainer: Keegan Korthauer <keegan at>

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biocViews Bayesian, Clustering, DifferentialExpression, ImmunoOncology, MultipleComparison, RNASeq, SingleCell, Software, Visualization
Version 1.22.0
In Bioconductor since BioC 3.5 (R-3.4) (6 years)
License GPL-2
Depends R (>= 3.5.0)
Imports fields, mclust, BiocParallel, outliers, ggplot2, EBSeq, arm, SingleCellExperiment, SummarizedExperiment, grDevices, graphics, stats, S4Vectors, scran
Suggests BiocStyle, knitr, gridExtra
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