CE
cellular-senescence-agent:Cellular senescence analysis:marker scoring,SASP profiling,tissue aging assessment。
FreedomIntelligence/OpenClaw-Medical-Skills查看
维护者 FreedomIntelligence · 最近更新 2026年4月1日
spatial-preprocessing。
原始来源
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/spatial-preprocessing
技能摘要
原始文档
print(adata.obs[['total_counts', 'n_genes_by_counts']].describe()) print(adata.var[['total_counts', 'n_cells_by_counts']].describe())
## Mark mitochondrial genes
adata.var['mt'] = adata.var_names.str.startswith('MT-')
## Calculate percent mitochondrial
sc.pp.calculate_qc_metrics(adata, qc_vars=['mt'], inplace=True)
print(f"Mean MT%: {adata.obs['pct_counts_mt'].mean():.1f}")
相关技能
cellular-senescence-agent:Cellular senescence analysis:marker scoring,SASP profiling,tissue aging assessment。
consensus-sequences。
docx:user may ask you to create,edit,或 analy。
filtering-best-practices。