Data Science & Analytics
ToolUniverse Spatial Omics Analysis
Computational analysis framework for spatial multi-omics data integration. Given spatially variable genes (SVGs), spatial domain annotations, tissue type, and disease context from spatial transcriptomics/proteomics experiments (10x Visium, MERFISH, DBiTplus, SLIDE-seq, etc.), performs comprehensive biological interpretation including pathway enrichment, cell-cell interaction inference, druggable target identification, immune microenvironment characterization, and multi-modal integration. Produces a detailed markdown report with Spatial Omics Integration Score (0-100), domain-by-domain characterization, and validation recommendations. Uses 70+ ToolUniverse tools across 9 analysis phases. Use when users ask about spatial transcriptomics analysis, spatial omics interpretation, tissue heterogeneity, spatial gene expression patterns, tumor microenvironment mapping, tissue zonation, or cell-cell communication from spatial data.
- Publisher / source
- FreedomIntelligence/OpenClaw-Medical-Skills (found on GitHub top repositories)
- Upstream record
- FreedomIntelligence/OpenClaw-Medical-Skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-06
- Content fingerprint
0ac769ceb6ea72c9ce60967e273a5e27963dc6ebc32ecbe962a27eeb127fcd2c