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cff-version: 1.2.0
message: 'To cite package "POWSC" in publications use:'
type: software
license: GPL-2.0-only
title: 'POWSC: Simulation, power evaluation, and sample size recommendation for single
  cell RNA-seq'
version: 1.13.0
abstract: Determining the sample size for adequate power to detect statistical significance
  is a crucial step at the design stage for high-throughput experiments. Even though
  a number of methods and tools are available for sample size calculation for microarray
  and RNA-seq in the context of differential expression (DE), this topic in the field
  of single-cell RNA sequencing is understudied. Moreover, the unique data characteristics
  present in scRNA-seq such as sparsity and heterogeneity increase the challenge.
  We propose POWSC, a simulation-based method, to provide power evaluation and sample
  size recommendation for single-cell RNA sequencing DE analysis. POWSC consists of
  a data simulator that creates realistic expression data, and a power assessor that
  provides a comprehensive evaluation and visualization of the power and sample size
  relationship.
authors:
- family-names: Su
  given-names: Kenong
  email: kenong.su@emory.edu
- family-names: Wu
  given-names: Hao
  email: hao.wu@emory.edu
preferred-citation:
  type: article
  title: Simulation, power evaluation and sample size recommendation for single-cell
    RNA-seq
  authors:
  - family-names: Su
    given-names: Kenong
    email: kenong.su@emory.edu
  - family-names: Wu
    given-names: Zhijin
  - family-names: Wu
    given-names: Hao
    email: hao.wu@emory.edu
  year: '2020'
  journal: Bioinformatics
  volume: '36'
  issue: '19'
  start: '9728'
repository: https://bioc.r-universe.dev
contact:
- family-names: Su
  given-names: Kenong
  email: kenong.su@emory.edu