Other packages > Find by keyword >

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", "2.0.8")



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 2.0.8, https://cran.r-project.org/web/packages/mLLMCelltype. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-09-01 13:40), 1.3.2 (2025-09-02 22:50), 2.0.0 (2026-02-08 11:50), 2.0.5 (2026-05-11 09:30), 2.0.7 (2026-07-21 10:20)
Other packages that cited mLLMCelltype R package
View mLLMCelltype citation profile
Other R packages that mLLMCelltype depends, imports, suggests or enhances
Complete documentation for mLLMCelltype
Functions, R codes and Examples using the mLLMCelltype R package
Full mLLMCelltype package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA