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cff-version: 1.2.0
message: 'To cite package "scDDboost" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'scDDboost: A compositional model to assess expression changes from single-cell
  rna-seq data'
version: 1.7.0
abstract: scDDboost is an R package to analyze changes in the distribution of single-cell
  expression data between two experimental conditions. Compared to other methods that
  assess differential expression, scDDboost benefits uniquely from information conveyed
  by the clustering of cells into cellular subtypes. Through a novel empirical Bayesian
  formulation it calculates gene-specific posterior probabilities that the marginal
  expression distribution is the same (or different) between the two conditions. The
  implementation in scDDboost treats gene-level expression data within each condition
  as a mixture of negative binomial distributions.
authors:
- family-names: Ma
  given-names: Xiuyu
  email: watsonforfun@gmail.com
preferred-citation:
  type: manual
  title: 'scDDboost: A compositional model to assess expression changes from single-cell
    rna-seq data'
  authors:
  - family-names: Ma
    given-names: Xiuyu
    email: watsonforfun@gmail.com
  - family-names: Newton
    given-names: Michael
  year: '2018'
  notes: R package version 1.7.0
  url: https://github.com/wiscstatman/scDDboost
repository: https://bioc.r-universe.dev
repository-code: https://github.com/wiscstatman/scDDboost
url: https://github.com/wiscstatman/scDDboost
date-released: '2018-10-31'
contact:
- family-names: Ma
  given-names: Xiuyu
  email: watsonforfun@gmail.com