Individual skill
roc-diagnostic-performance
Use when evaluating diagnostic biomarker performance from case-control expression data with logistic regression and ROC curves, exporting coefficient and AUC tables together with a ROC PDF. NOT for: survival analysis, time-to-event outcomes, multiclass classification, calibration curves, decision-curve analysis, or nomogram construction.
awesome-med-research-skills/Data Analysis/roc-diagnostic-performance/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
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- differential-expression Repository topic
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# ROC Diagnostic Performance
## When to Use
Use this skill when you need to:
- evaluate one or more diagnostic marker genes in a case-control cohort;
- build a multivariable logistic regression diagnostic model from marker expression values;
- compare the ROC performance of the full model against individual markers.
Typical user requests:
- "Use these genes to build a diagnostic ROC model for case vs control samples."
- "Evaluate the AUC of FOXP3, CD45, and CD3E and plot all ROC curves together."
- "Run logistic regression on biomarker expression and export ROC results."
