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) <doi:10.1101/2025.04.10.647852>.
| Version: | 2.0.0 |
| Imports: | dplyr, httr (≥ 1.4.0), jsonlite (≥ 1.7.0), R6 (≥ 2.5.0), digest (≥ 0.6.25), magrittr, stats, tools, utils |
| Suggests: | knitr, rmarkdown, Seurat |
| Published: | 2026-02-08 |
| DOI: | 10.32614/CRAN.package.mLLMCelltype |
| Author: | Chen Yang [aut, cre, cph] |
| Maintainer: | Chen Yang <cafferychen777 at tamu.edu> |
| BugReports: | https://github.com/cafferychen777/mLLMCelltype/issues |
| License: | MIT + file LICENSE |
| URL: | https://cafferyang.com/mLLMCelltype/ |
| NeedsCompilation: | no |
| Citation: | mLLMCelltype citation info |
| Materials: | README, NEWS |
| CRAN checks: | mLLMCelltype results |
| Package source: | mLLMCelltype_2.0.0.tar.gz |
| Windows binaries: | r-devel: mLLMCelltype_1.3.2.zip, r-release: mLLMCelltype_1.3.2.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): mLLMCelltype_1.3.2.tgz, r-oldrel (arm64): mLLMCelltype_1.3.2.tgz, r-release (x86_64): mLLMCelltype_1.3.2.tgz, r-oldrel (x86_64): mLLMCelltype_1.3.2.tgz |
| Old sources: | mLLMCelltype archive |
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