single-cell-clustering-and-batch-correction-with-omicverse
This skill provides step-by-step guidance for single-cell RNA-seq analysis using omicverse. It covers data preprocessing, multiple clustering methods, batch correction techniques, and quality evaluation. The instructions include dependency checks and troubleshooting tips for common errors.
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-clustering
Repository
Skill path: .claude/skills/single-clustering
This skill provides step-by-step guidance for single-cell RNA-seq analysis using omicverse. It covers data preprocessing, multiple clustering methods, batch correction techniques, and quality evaluation. The instructions include dependency checks and troubleshooting tips for common errors.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
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-clustering-and-batch-correction-with-omicverse into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Starlitnightly/omicverse before adding single-cell-clustering-and-batch-correction-with-omicverse to shared team environments
- Use single-cell-clustering-and-batch-correction-with-omicverse for ai/ml workflows
Works across
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Sub-skills: 0.
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