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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 "mLLMCelltype" in publications use:'
type: software
license: MIT
title: 'mLLMCelltype: Cell Type Annotation Using Large Language Models'
version: 2.0.5
doi: 10.1101/2025.04.10.647852
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.
  (2025) <https://doi.org/10.1101/2025.04.10.647852>.
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: bioRxiv
  year: '2025'
  doi: 10.1101/2025.04.10.647852
  publisher:
    name: Cold Spring Harbor Laboratory
repository: https://cafferychen777.r-universe.dev
repository-code: https://github.com/cafferychen777/mLLMCelltype
commit: 5a4a911b60c7e99406d93d9b971c110c077595c8
url: https://cafferyang.com/mLLMCelltype/
date-released: '2026-06-06'
contact:
- family-names: Yang
  given-names: Chen
  email: cafferychen777@tamu.edu