Package: DEsingle
Type: Package
Title: DEsingle for detecting three types of differential expression in
        single-cell RNA-seq data
Version: 1.32.0
Date: 2018-12-01
Author: Zhun Miao <miaoz13@tsinghua.org.cn>
Maintainer: Zhun Miao <miaoz13@tsinghua.org.cn>
Description: DEsingle is an R package for differential expression (DE)
        analysis of single-cell RNA-seq (scRNA-seq) data. It defines
        and detects 3 types of differentially expressed genes between
        two groups of single cells, with regard to different expression
        status (DEs), differential expression abundance (DEa), and
        general differential expression (DEg). DEsingle employs
        Zero-Inflated Negative Binomial model to estimate the
        proportion of real and dropout zeros and to define and detect
        the 3 types of DE genes. Results showed that DEsingle
        outperforms existing methods for scRNA-seq DE analysis, and can
        reveal different types of DE genes that are enriched in
        different biological functions.
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.4.0)
Imports: stats, Matrix (>= 1.2-14), MASS (>= 7.3-45), VGAM (>= 1.0-2),
        bbmle (>= 1.0.18), gamlss (>= 4.4-0), maxLik (>= 1.3-4), pscl
        (>= 1.4.9), BiocParallel (>= 1.12.0),
Suggests: knitr, rmarkdown, SingleCellExperiment
VignetteBuilder: knitr
URL: https://miaozhun.github.io/DEsingle/
biocViews: DifferentialExpression, GeneExpression, SingleCell,
        ImmunoOncology, RNASeq, Transcriptomics, Sequencing,
        Preprocessing, Software
RoxygenNote: 6.0.1
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 12:47:40 UTC
RemoteUrl: https://github.com/bioc/DEsingle
RemoteRef: RELEASE_3_23
RemoteSha: 2e2900042096b5efabc277f4f3f1daa05db5e1a0
NeedsCompilation: no
Packaged: 2026-04-29 20:57:46 UTC; root
Built: R 4.6.0; ; 2026-04-29 21:30:07 UTC; unix
