Package: DEsingle
Type: Package
Title: DEsingle for detecting three types of differential expression in
        single-cell RNA-seq data
Version: 1.29.0
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
git_url: https://git.bioconductor.org/packages/DEsingle
git_branch: devel
git_last_commit: 956ccc0
git_last_commit_date: 2025-04-15
Repository: Bioconductor 3.22
Date/Publication: 2025-06-04
NeedsCompilation: no
Packaged: 2025-06-04 22:34:56 UTC; biocbuild
Built: R 4.5.0; ; 2025-06-05 12:51:09 UTC; windows
