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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 "scAnnotatR" in publications use:'
type: software
license: MIT
title: 'scAnnotatR: Pretrained learning models for cell type prediction on single
  cell RNA-sequencing data'
version: 1.18.0
doi: 10.32614/CRAN.package.scAnnotatR
abstract: The package comprises a set of pretrained machine learning models to predict
  basic immune cell types. This enables all users to quickly get a first annotation
  of the cell types present in their dataset without requiring prior knowledge. scAnnotatR
  also allows users to train their own models to predict new cell types based on specific
  research needs.
authors:
- family-names: Nguyen
  given-names: Vy
  email: thi-tuong-vy.nguyen@meduniwien.ac.at
  orcid: https://orcid.org/0000-0003-3436-3662
- family-names: Griss
  given-names: Johannes
  email: johannes.griss@meduniwien.ac.at
  orcid: https://orcid.org/0000-0003-2206-9511
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/grisslab/scAnnotatR/issues/new
commit: 0d69df3b2574480fed587b799d41ea0ed562e89d
url: https://github.com/grisslab/scAnnotatR
date-released: '2026-04-28'
contact:
- family-names: Griss
  given-names: Johannes
  email: johannes.griss@meduniwien.ac.at
  orcid: https://orcid.org/0000-0003-2206-9511