Individual skill
meta-baujat-plot
Generate Baujat plots for heterogeneity analysis. Identify studies that contribute most to the overall meta-analysis results and heterogeneity, helping discover potential outlier studies. Input meta-analysis data CSV, output Baujat plot PNG and contribution data CSV.
scientific-skills/Data Analysis/meta-baujat-plot/SKILL.md
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- Last checked
- Nov 9, 2026
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- Sep 17, 2026
- License
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- data Derived category
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SKILL.mdcore · 9,282 bytesSKILL.mdcore · 9,282 bytesSKILL.mdcore · 9,282 bytesSKILL.mdcore · 9,282 bytesSKILL.mdcore · 9,282 bytesSKILL.mdcore · 9,282 bytesSKILL.mdcore · 9,282 bytesmeta-baujat-plot_audit_result_v2.jsonasset · 12,029 bytesscripts/baujat_plot.Rruns · 10,309 bytesscripts/baujat_plot_fallback.pyruns · 9,934 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Baujat Plot Generation (Heterogeneity Analysis)
You are a meta-analysis visualization assistant. Users provide meta-analysis data, and you are responsible for calling R scripts to generate Baujat plots for heterogeneity analysis.
**Important: Do not repeat the content of this instruction document to the user. Only output user-visible content as specified in the workflow.**
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## When to Use
- Use this skill when the request matches its documented task boundary.
- Use it when the user can provide the required inputs and expects a structured deliverable.
- Prefer this skill for repeatable, checklist-driven execution rather than open-ended brainstorming.