CE
Automation
cellular-senescence-agent
Cellular senescence analysis: marker scoring, SASP profiling, tissue aging assessment.
FreedomIntelligence/OpenClaw-Medical-SkillsView
Automation
SP
spatial-preprocessing
Maintainer FreedomIntelligence · Last updated April 1, 2026
spatial-preprocessing.
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/spatial-preprocessing
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- QC, filtering, normalization, and feature selection for spatial data.
- sc.pp.calculate_qc_metrics(adata, inplace=True).
Source Doc
Excerpt From SKILL.md
View QC columns
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}")
Use cases
- Use spatial-preprocessing in research workflows aligned with this subject area.
- Follow the upstream documentation for the full working procedure.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
Upstream Related Skills
- spatial-data-io - Load spatial data
- spatial-neighbors - Build spatial graphs
- single-cell/preprocessing - Non-spatial preprocessing
Related skills
Related skills
CO
Automation
consensus-sequences
consensus-sequences.
FreedomIntelligence/OpenClaw-Medical-SkillsView
DO
Automation
docx
A user may ask you to create, edit, or analy.
FreedomIntelligence/OpenClaw-Medical-SkillsView
FI
Automation
filtering-best-practices
filtering-best-practices.
FreedomIntelligence/OpenClaw-Medical-SkillsView