AutomationResearch InfrastructureFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction

spatial-multiomics

Maintainer FreedomIntelligence · Last updated April 1, 2026

spatial-multiomics.

OpenClawNanoClawAnalysisReproductionspatial-multiomicsopenclaw medical skillsadditional scientific toolsspatial

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/spatial-multiomics

Maintainer: FreedomIntelligence
License: MIT
Last updated: April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

adata = sc.read_h5ad('spatial_multiomics.h5ad').
sq.gr.spatial_neighbors(adata, coord_type='generic', n_neighs=10, spatial_key='spatial').

Source Doc

Excerpt From SKILL.md

Platform Comparison

Platform	Resolution	Spots/Beads	Coverage
Visium	55 µm	~5,000	Tissue-wide
Visium HD	2 µm	~11M	Subcellular
Slide-seq	10 µm	~100,000	High-density
Stereo-seq	0.5 µm	>200M	Subcellular
MERFISH	Single-molecule	N/A	Targeted genes

Squidpy for High-Resolution Data

import squidpy as sq
import scanpy as sc

## Spatial autocorrelation (Moran's I)

sq.gr.spatial_autocorr(adata, mode='moran', genes=adata.var_names[:100])