tcga-bulk-data-preprocessing-with-omicverse
This skill guides users through preprocessing TCGA bulk RNA-seq data using the omicverse Python package. It provides step-by-step instructions for loading sample sheets, expression archives, and clinical data, then performing survival analysis and exporting annotated AnnData files for downstream analysis.
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-tcga-preprocessing
Repository
Skill path: .claude/skills/tcga-preprocessing
This skill guides users through preprocessing TCGA bulk RNA-seq data using the omicverse Python package. It provides step-by-step instructions for loading sample sheets, expression archives, and clinical data, then performing survival analysis and exporting annotated AnnData files for downstream analysis.
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 tcga-bulk-data-preprocessing-with-omicverse into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/Starlitnightly/omicverse before adding tcga-bulk-data-preprocessing-with-omicverse to shared team environments
- Use tcga-bulk-data-preprocessing-with-omicverse for ai/ml workflows
Works across
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