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mLLMCelltype
View on CRAN: Click
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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
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[Scholar Profile | Author Map]
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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 16 Jul. 2026.
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