single-cell-multi-omics-integration
This skill provides a structured cheat sheet for integrating single-cell multi-omics data using five different computational methods. It outlines specific steps for MOFA, GLUE, SIMBA, TOSICA, and StaVIA workflows with clear data preparation, training, and inspection phases. The instructions reference actual notebook files and include dependency notes for each method.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install starlitnightly-omicverse-single-multiomics
Repository
Skill path: .claude/skills/single-multiomics
This skill provides a structured cheat sheet for integrating single-cell multi-omics data using five different computational methods. It outlines specific steps for MOFA, GLUE, SIMBA, TOSICA, and StaVIA workflows with clear data preparation, training, and inspection phases. The instructions reference actual notebook files and include dependency notes for each method.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Integration.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Starlitnightly.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install single-cell-multi-omics-integration into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Starlitnightly/omicverse before adding single-cell-multi-omics-integration to shared team environments
- Use single-cell-multi-omics-integration for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.