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process-related-diagnostic-biomarker-nomogram-research-planner

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Generates complete process-related diagnostic biomarker bioinformatics research designs from a user-provided disease context, gene-family or pathway theme, and validation direction. Use when a study centers on process-related genes, DEG and WGCNA integration, machine-learning feature selection, nomogram-based diagnostic modeling, immune infiltration, regulatory-network analysis, and optional external or experimental validation. Covers five study patterns (process-DEG discovery, co-expression-module integration, machine-learning biomarker selection, diagnostic model/nomogram workflow, immune-regulatory interpretation and validation) and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.

When to use

• process-related diagnostic biomarker research design
• DEG and WGCNA integration
• machine-learning feature selection
• nomogram-based diagnostic modeling
• immune infiltration analysis
• regulatory-network analysis
• external or experimental validation planning
• process-DEG discovery workflow

When not to use

• clinical treatment recommendations
• patient-specific diagnosis
• prescribing
• pure prognostic survival-model papers
• pure single-cell-only studies
• pure wet-lab mechanistic studies
• non-biomedical requests
• off-topic requests

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