Package: mLLMCelltype
Type: Package
Title: Cell Type Annotation Using Large Language Models
Version: 2.0.5
Author: Chen Yang [aut, cre, cph]
Maintainer: Chen Yang <cafferychen777@tamu.edu>
Authors@R: 
    person("Chen", "Yang", email = "cafferychen777@tamu.edu",
           role = c("aut", "cre", "cph"))
Description: 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)
        <doi:10.1038/s42003-026-10420-8>.
License: MIT + file LICENSE
BugReports: https://github.com/cafferychen777/mLLMCelltype/issues
URL: https://cafferyang.com/mLLMCelltype/
Encoding: UTF-8
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, testthat
RoxygenNote: 7.3.3
Roxygen: list(markdown = TRUE)
Config/build/clean-inst-doc: TRUE
VignetteBuilder: knitr
Config/pak/sysreqs: libssl-dev
Repository: https://cafferychen777.r-universe.dev
Date/Publication: 2026-06-27 19:50:58 UTC
RemoteUrl: https://github.com/cafferychen777/mllmcelltype
RemoteRef: HEAD
RemoteSha: 34b25899983bb7e72c448a53c14e47d1079219c5
RemoteSubdir: R
NeedsCompilation: no
Packaged: 2026-06-27 21:25:18 UTC; root