数据与复现单细胞与空间组学FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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scrna-qc

维护者 FreedomIntelligence · 最近更新 2026年4月1日

Single-cell RNA-seq quality control: doublet removal, ambient RNA, filtering thresholds.

OpenClawNanoClaw分析处理复现实验scrna-qc🧠 bioos extended suitesingle-cell & spatial agentssingle

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/scrna-qc

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

2 min

核心说明

  • description (10-20 chars):QC autopilot。
  • keywords:scRNAseq,MAD,h5ad,QC,plots。
  • description (10-20 chars):QC autopilot keywords:scRNAseq,MAD,h5ad,QC,plots。
  • 1. Accept.h5ad,10x.h5,或 10x directory inputs;set mitochondrial/ribosomal patterns as needed. 2. Run qc_analysis.py (CLI) 或 call qc_core helpers to compute metrics,apply MAD thresholds,、 filter cells/genes. 3. Generate standard plots (metrics before/after,threshold overlays) plus filtered data artifacts. 4. Document parameters (mad_counts/genes/mt,mt_threshold,min_cells,log1p flag) inside summary JSON. 5. Provide guidance on next steps (doublet detection,downstream analysis)。

原始文档

SKILL.md 摘录

Guardrails

  • Adjust MT% expectations for tissue context; avoid over-filtering rare populations.
  • This workflow is QC only—doublet handling and batch correction stay separate.
  • Keep reproducibility by storing command invocations and environment info.

适用场景

  • Use scrna-qc ,用于 single-cell 或 spatial omics analysis。
  • Apply scrna-qc 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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