scientific-multi-omics
CommunityIntegrate multi-omics data for insights
Data & Analytics#bioinformatics#data-analysis#network-analysis#pathway-analysis#multi-omics#omics-integration#canonical-correlation
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides a unified framework to integrate genomics, transcriptomics, proteomics, and metabolomics data, enabling cross-omic insights without reinventing workflows.
Core Features & Use Cases
- MOFA/SNF/DIABLO-style integration templates to align datasets across omics layers.
- Cross-omics correlation, network-level integration, and pathway-level scoring for biomarker discovery.
- Use Case: Combine gene expression, protein abundance, and metabolite data to identify cross-omics biomarkers tied to a pathway.
Quick Start
Run a complete multi-omics integration on the input datasets and generate a unified report.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: scientific-multi-omics Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-multi-omics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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