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mLLMCelltype  

Cell Type Annotation Using Large Language Models
View on CRAN: Click here


Download and install mLLMCelltype package within the R console
Install from CRAN:
install.packages("mLLMCelltype")

Install from Github:
library("remotes")
install_github("cran/mLLMCelltype")

Install by package version:
library("remotes")
install_version("mLLMCelltype", "1.3.2")



Attach the package and use:
library("mLLMCelltype")
Maintained by
Chen Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-02
Latest Update: 2025-09-02
Description:
Automated cell type annotation for single-cell RNA sequencing data using consensus predictions from multiple large language models (LLMs). LLMs are artificial intelligence models trained on vast text corpora to understand and generate human-like text. This package integrates with 'Seurat' objects and provides uncertainty quantification for annotations. Supports various LLM providers including 'OpenAI', 'Anthropic', and 'Google'. The package leverages these models through their respective APIs (Application Programming Interfaces) <https://platform.openai.com/docs>, <https://docs.anthropic.com/>, and <https://ai.google.dev/gemini-api/docs>. For details see Yang et al. (2025) <doi:10.1101/2025.04.10.647852>.
How to cite:
Chen Yang (2025). mLLMCelltype: Cell Type Annotation Using Large Language Models. R package version 1.3.2, https://cran.r-project.org/web/packages/mLLMCelltype. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:27), 1.3.2 (2025-09-02 22:50), 2.0.0 (2026-02-08 11:50), 2.0.5 (2026-05-11 09:30)
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Complete documentation for mLLMCelltype
Functions, R codes and Examples using the mLLMCelltype R package
Full mLLMCelltype package functions and examples
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