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tumor-immune-infiltration-diagnostic-ml-research-planner

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Generates complete tumor immune-infiltration-guided bulk-transcriptome diagnostic biomarker and machine-learning research designs from a user-provided cancer type and study direction. Always use this skill whenever a user wants to design, plan, or build a tumor bioinformatics study centered on differential expression, immune infiltration estimation, immune-linked module discovery, consensus feature selection, diagnostic modeling, nomogram construction, clinical association, and optional prognostic extension or validation. Covers five study patterns (immune-cell-first diagnostic workflow, immune-module-to-biomarker workflow, consensus-ML biomarker workflow, diagnostic-plus-prognostic hybrid workflow, translational validation workflow) 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, reference literature pack, a…

When to use

• tumor bioinformatics study design
• differential expression analysis
• immune infiltration estimation
• immune-linked module discovery
• consensus feature selection
• diagnostic modeling
• nomogram construction
• clinical association

When not to use

• clinical trial protocols
• dosing
• prescribing
• patient-specific treatment recommendations
• pure scRNA-only studies
• MR-only studies
• GWAS-only studies
• radiomics-only studies

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