logging_functions

log_debug

log_info

log_warn

log_error

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>.

Chen Yang

mLLMCelltype

Cell Type Annotation Using Large Language Models

logging_functions function

<dl><dt>message</dt>
<dd>Log message</dd>
<dt>context</dt>
<dd>Additional context (optional)</dd></dl>

Arguments

Convenience functions for logging — logging_functions

<dl>

<dt>message</dt>
<dd>Log message</dd>


<dt>context</dt>
<dd>Additional context (optional)</dd>

</dl>

Convenience functions for logging

logging_functions: Convenience functions for logging

Description

Usage

Arguments