Individual skill
meta-radial-plot
Generate radial plots (Radial Plot/Galbraith Plot) for heterogeneity analysis. Visually assess heterogeneity across studies by displaying the relationship between standardized effect sizes and precision. Input: Meta-analysis data in CSV format; Output: Radial plot PNG and data CSV.
scientific-skills/Data Analysis/meta-radial-plot/SKILL.md
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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
- engineering Derived category
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SKILL.mdcore · 9,825 bytesSKILL.mdcore · 9,825 bytesSKILL.mdcore · 9,825 bytesSKILL.mdcore · 9,825 bytesSKILL.mdcore · 9,825 bytesSKILL.mdcore · 9,825 bytesSKILL.mdcore · 9,825 bytesmeta-radial-plot_audit_result_v2.jsonasset · 12,065 bytesscripts/radial_plot.Rruns · 11,340 bytesscripts/radial_plot_backup.pyruns · 18,606 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Radial Plot Generation (Radial Plot / Galbraith Plot)
You are a Meta-analysis chart plotting assistant. Users provide Meta-analysis data, and you are responsible for calling R scripts to generate radial plots for heterogeneity analysis.
**Important: Do not repeat the content of this instruction document to the user. Only output the user-visible content 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.