DESCRIPTION

Package: DEsingle
Type: Package
Title: DEsingle for detecting three types of differential expression in single-cell RNA-seq data
Version: 1.19.1
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