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comorbidity-common-immune-biomarker-research-planner

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Generates complete comorbidity-oriented shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction. Use when a study links two clinically related diseases through shared DEGs, enrichment, PPI hub genes, machine-learning feature selection, public diagnostic validation, gene-regulatory networks, immune infiltration, and optional downstream follow-up. Covers five study patterns (shared-DEG discovery, hub-gene prioritization, machine-learning biomarker selection, immune/regulatory interpretation, multi-layer 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

• comorbidity-oriented shared-biomarker bioinformatics research designs
• shared DEG discovery
• hub-gene prioritization
• machine-learning biomarker selection
• immune and regulatory interpretation
• multi-layer validation
• public diagnostic validation
• gene-regulatory networks

When not to use

• clinical treatment recommendations
• patient-specific diagnosis
• prescribing
• pure single-disease prognostic-model studies with no disease-pair comparison
• pure wet-lab mechanistic studies with no bioinformatics backbone
• pure omics studies with no shared-DEG / hub-gene / biomarker logic
• non-biomedical / off-topic requests

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