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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "scClassify" in publications use:'
type: software
license: GPL-3.0-only
title: 'scClassify: scClassify: single-cell Hierarchical Classification'
version: 1.17.0
abstract: scClassify is a multiscale classification framework for single-cell RNA-seq
  data based on ensemble learning and cell type hierarchies, enabling sample size
  estimation required for accurate cell type classification and joint classification
  of cells using multiple references.
authors:
- family-names: Lin
  given-names: Yingxin
  email: yingxin.lin@sydney.edu.au
preferred-citation:
  type: article
  title: 'scClassify: sample size estimation and multiscale classification of cells
    using single and multiple reference'
  authors:
  - family-names: Lin
    given-names: Yingxin
    email: yingxin.lin@sydney.edu.au
  - family-names: Cao
    given-names: Yue
  - family-names: Kim
    given-names: Hani Jieun
  - family-names: Salim
    given-names: Agus
  - family-names: Speed
    given-names: Terence P
  - family-names: Lin
    given-names: David M
  - family-names: Yang
    given-names: Pengyi
  - family-names: Yang
    given-names: Jean Yee Hwa
  journal: Molecular systems biology
  year: '2020'
  volume: '16'
  issue: '6'
  url: https://doi.org/10.15252/msb.20199389
  start: e9389
repository: https://bioc.r-universe.dev
repository-code: https://github.com/SydneyBioX/scClassify
url: https://github.com/SydneyBioX/scClassify
contact:
- family-names: Lin
  given-names: Yingxin
  email: yingxin.lin@sydney.edu.au