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cff-version: 1.2.0
message: 'To cite package "DEsingle" in publications use:'
type: software
license: GPL-2.0-only
title: 'DEsingle: DEsingle for detecting three types of differential expression in
  single-cell RNA-seq data'
version: 1.25.0
doi: 10.1093/bioinformatics/bty332
abstract: 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.
authors:
- family-names: Miao
  given-names: Zhun
  email: miaoz13@tsinghua.org.cn
preferred-citation:
  type: article
  title: DEsingle for detecting three types of differential expression in single-cell
    RNA-seq data
  authors:
  - family-names: Miao
    given-names: Zhun
    email: miaoz13@tsinghua.org.cn
  - family-names: Deng
    given-names: Ke
  - family-names: Wang
    given-names: Xiaowo
  - family-names: Zhang
    given-names: Xuegong
  year: '2018'
  journal: Bioinformatics
  doi: 10.1093/bioinformatics/bty332
  start: bty332
repository: https://bioc.r-universe.dev
url: https://miaozhun.github.io/DEsingle/
date-released: '2018-12-01'
contact:
- family-names: Miao
  given-names: Zhun
  email: miaoz13@tsinghua.org.cn