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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 "mLLMCelltype" in publications use:'
type: software
license: MIT
title: 'mLLMCelltype: Cell Type Annotation Using Large Language Models'
version: 2.0.7
doi: 10.1038/s42003-026-10420-8
identifiers:
- type: doi
  value: 10.32614/CRAN.package.mLLMCelltype
abstract: Automated cell type annotation for single-cell RNA sequencing data using
  consensus predictions from multiple large language models. Integrates with Seurat
  objects and provides uncertainty quantification for annotations. Supports various
  LLM providers including OpenAI, Anthropic, and Google. For details see Yang et al.
  (2026) <https://doi.org/10.1038/s42003-026-10420-8>.
authors:
- family-names: Yang
  given-names: Chen
  email: cafferychen777@tamu.edu
preferred-citation:
  type: article
  title: Large language model consensus substantially improves the cell type annotation
    accuracy for scRNA-seq data
  authors:
  - family-names: Yang
    given-names: Chen
    email: cafferychen777@tamu.edu
  - family-names: Zhang
    given-names: Xianyang
  - family-names: Chen
    given-names: Jun
  journal: Communications Biology
  year: '2026'
  doi: 10.1038/s42003-026-10420-8
  url: https://doi.org/10.1038/s42003-026-10420-8
  publisher:
    name: Springer Nature
repository: https://cran.r-universe.dev
repository-code: https://github.com/cafferychen777/mLLMCelltype
commit: cd4b05eb09367d71bf3a023b6ca30a6a6e019432
url: https://cafferyang.com/mLLMCelltype/
date-released: '2026-07-21'
contact:
- family-names: Yang
  given-names: Chen
  email: cafferychen777@tamu.edu