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pcd-immune-oncology-research-planner

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Generates complete programmed-cell-death (PCD) / regulated-cell-death (RCD) bulk-transcriptome oncology research designs from a user-provided disease and mechanism theme. Always use this skill whenever a user wants to design, plan, or structure a cancer bioinformatics study built around cell-death patterns, tumor microenvironment, prognostic modeling, immune landscape analysis, mutation profiling, and computational drug sensitivity. Covers five study patterns (mechanism-gene-set, subtype-discovery, prognostic-signature, immune-response stratification, translational drug-hypothesis) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path, and a strictly verified reference literature retrieval layer with real references only.

When to use

• designing cancer bioinformatics studies
• planning cell-death pattern studies
• structuring tumor microenvironment analysis
• planning prognostic modeling
• designing immune landscape analysis
• planning mutation profiling
• structuring computational drug sensitivity studies
• generating PCD/RCD research designs

When not to use

• clinical treatment recommendations
• patient-specific drug selection
• prescribing
• wet-lab-only experimental designs
• pure scRNA-only studies
• MR-only studies
• non-cancer requests
• non-biomedical requests

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