by NygenAnalytics · Agent Tool · ★ 124
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CyteType Agentic, Evidence-Based Cell Type Annotation for Single-Cell RNA-seq CyteType performs automated cell type annotation in single-cell RNA sequencing (scRNA-seq) data. It uses a multi-agent AI architecture to deliver transparent, evidence-based annotations with Cell Ontology mapping. Integrates with Scanpy and Seurat workflows. Preprint published: Nov. 7, 2025: bioRxiv link - Dive into benchmarking results Why CyteType? Cell type annotation is one of the most time-consuming steps in single-cell analysis. It typically requires w
| Stars | 124 |
| Forks | 17 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 67.7544621291371/100 |
| Open Issues | 13 |
| Last Updated | 2026-04-14 |
| Created | 2025-04-27 |
| Platforms | python |
| Est. Tokens | ~83k |
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CyteType is Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data. It is categorized as a Agent Tool with 124 GitHub stars.
CyteType is primarily written in Python. It covers topics such as agentic-ai, anndata, cell-state-prediction.
You can find installation instructions and usage details in the CyteType GitHub repository at github.com/NygenAnalytics/CyteType. The project has 124 stars and 17 forks, indicating an active community.
The top alternatives to CyteType on Agent Skills Hub include awesome-bio-agent-skills, llama-cpp-agent, concierge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.