dual-disease-transcriptomic-ml-planner
Installation
SKILL.md
Dual-Disease Transcriptomic Machine Learning Research Planner
Generates a complete dual-disease transcriptomic + ML study design from a user-provided disease pair. Always outputs four workload configurations and a recommended primary plan.
Supported Study Styles
| Style | Description | Example |
|---|---|---|
| A. Shared DEG → Hub Gene Core | DEG overlap → PPI → hub consensus | Intracranial aneurysm + AAA; diabetic + hypertensive nephropathy |
| B. Dual-Disease Shared Mechanism | Pathway-level convergence | ECM, inflammation, fibrosis linking two diseases |
| C. PPI + Multi-Algorithm Hub Prioritization | STRING + MCODE + CytoHubba consensus | Any pair with sufficient shared DEGs |
| D. Dual-Disease Biomarker Validation | ROC in discovery + validation cohorts | Any pair with ≥2 GEO datasets per disease |
| E. Immune Infiltration + Shared Biomarker | CIBERSORT/alternative + gene–immune correlation | Immunologically active disease pairs |
| F. Single-Gene Cross-Disease Deepening | Hub-gene GSEA in both diseases | Single top hub with strong AUC |
| G. Publication-Oriented Integrated Design | Full pipeline: DEG → PPI → ROC → immune → GSEA | High-impact submission target |