Package: scDD
Version: 1.36.0
Title: Mixture modeling of single-cell RNA-seq data to identify genes
        with differential distributions
Description: 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.
Authors@R: person("Keegan", "Korthauer", role = c("cre", "aut"), 
                  email = "keegan@stat.ubc.ca", 
                  comment = c(ORCID = "0000-0002-4565-1654"))
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Imports: fields, mclust, BiocParallel, outliers, ggplot2, EBSeq, arm,
        SingleCellExperiment, SummarizedExperiment, grDevices,
        graphics, stats, S4Vectors, scran
Suggests: BiocStyle, knitr, gridExtra
License: GPL-2
RoxygenNote: 6.0.1
VignetteBuilder: knitr
biocViews: ImmunoOncology, Bayesian, Clustering, RNASeq, SingleCell,
        MultipleComparison, Visualization, DifferentialExpression
URL: https://github.com/kdkorthauer/scDD
BugReports: https://github.com/kdkorthauer/scDD/issues
Config/pak/sysreqs: cmake libglpk-dev make libuv1-dev libxml2-dev
        zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:44:51 UTC
RemoteUrl: https://github.com/bioc/scDD
RemoteRef: RELEASE_3_23
RemoteSha: 0aef2fe8408d4df6bf81f80564ca1c2a8030b506
Packaged: 2026-09-27 11:00:05 UTC; root
Author: Keegan Korthauer [cre, aut] (ORCID:
    <https://orcid.org/0000-0002-4565-1654>)
Maintainer: Keegan Korthauer <keegan@stat.ubc.ca>