AN
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数据与复现
CE
cellagent-annotation
维护者 FreedomIntelligence · 最近更新 2026年4月1日
AI-driven single-cell cluster annotation using marker gene databases.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/cellagent-annotation
- 维护者
- FreedomIntelligence
- 许可
- MIT
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- Use CellTypeAgent to interpret marker genes，annotate scRNA-seq clusters，、 coordinate multi-agent workflows ，用于 downstream analysis。
- Automated annotation of scRNA-seq 数据集s without manual curation。
- Multi-step workflows (QC → 聚类 → annotation → DE analysis)。
- Integrating multiple batches requiring consistent labeling。
- Automated annotation of scRNA-seq 数据集s without manual curation. Multi-step workflows (QC → 聚类 → annotation → DE analysis). Integrating multiple batches requiring consistent labeling。
原始文档
SKILL.md 摘录
Core Capabilities
- Planning: Multi-agent planner decomposes analysis goals into steps.
- Tool execution: Generates Scanpy/Seurat code and runs it autonomously.
- Self-correction: Detects execution errors and retries with fixes.
Workflow
- Gather marker lists per cluster, plus species/tissue context and optional atlas references.
- Run CellTypeAgent (
pip install -r requirements.txtthenpython repo/main.py --data data.h5ad --goal annotate). - Review outputs for supporting markers; downgrade ambiguous clusters when signals conflict.
- Produce final table (cluster, label, confidence, supporting markers, notes) and cite references when used.
Guardrails
- Avoid over-specific lineages if markers overlap; default to broader types.
- Flag clusters showing multiple signatures for manual review.
- Respect species/tissue differences when interpreting markers.
适用场景
- Use cellagent-annotation ，用于 single-cell 或 spatial omics analysis。
- Apply cellagent-annotation to 聚类，integration，或 trajectory workflows。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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