Related Experiment Video
Updated: Jun 16, 2026

13:01
Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
Published on: June 3, 2022
Reflections on the use of LLMs for cell annotation
1Department of Computer Applications, Sikkim University, PO Tadong, Gangtok, Sikkim 737102, India.
Briefings in Bioinformatics
|June 14, 2026
Summary
This commentary discusses the AICellType platform for cell type annotation using large language models (LLMs). It suggests prioritizing open-source LLMs for more reliable and reproducible biomedical research.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- Single-cell and spatial transcriptomics generate large datasets requiring robust cell type annotation.
- Large Language Models (LLMs) are emerging as powerful tools for biological data interpretation.
- The AICellType platform offers LLM-based annotation but relies on proprietary models.

