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# CITATION.cff 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 "PERCEPTIONx" in publications use:'
type: software
license: MIT
title: 'PERCEPTIONx: Personalized Drug Response Prediction from Single-Cell Transcriptomics'
version: 0.3.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.PERCEPTIONx
abstract: An R implementation of the PERCEPTION approach (Sinha et al., 2024) for
  predicting personalized drug response from single-cell tumor transcriptomics. It
  trains drug-response models on large-scale cell-line screens, predicts sensitivity
  at clone and patient level, and ships an interactive visualization suite plus a
  Shiny web application.
authors:
- family-names: Ding
  given-names: Jia
  email: jiading682@qq.com
  orcid: https://orcid.org/0009-0002-2530-0897
preferred-citation:
  type: manual
  title: 'PERCEPTIONx: Personalized Drug Response Prediction from Single-Cell Transcriptomics'
  authors:
  - family-names: Ding
    given-names: Jia
    email: jiading682@qq.com
    orcid: https://orcid.org/0009-0002-2530-0897
  year: '2026'
  notes: R package version 0.3.0
  url: https://github.com/WangLabCSU/PERCEPTIONx
repository: https://wanglabcsu.r-universe.dev
repository-code: https://github.com/WangLabCSU/PERCEPTIONx
commit: 15fbc84a04c95a1306a938ada96c02e16de98d54
url: https://wanglabcsu.github.io/PERCEPTIONx
date-released: '2026-09-19'
contact:
- family-names: Ding
  given-names: Jia
  email: jiading682@qq.com
  orcid: https://orcid.org/0009-0002-2530-0897
references:
- type: article
  title: PERCEPTION predicts patient response and resistance to treatment using single-cell
    transcriptomics of their tumors
  authors:
  - family-names: S
    given-names: Sinha
  - family-names: R
    given-names: Vegesna
  - family-names: S
    given-names: Mukherjee
  - family-names: al.
    given-names: et
  journal: Nature Cancer
  volume: '5'
  year: '2024'
  doi: 10.1038/s43018-024-00756-7
  start: '938'
  end: '952'