Medical & Healthcare
Conventional Non Oncology Hub Gene Research Planner
Generates complete conventional non-oncology bioinformatics research designs from a user-provided disease context, process-related gene family or biological theme, and validation direction. Use when a study centers on multi-dataset bulk transcriptome integration, DEG analysis, process-gene intersection, enrichment analysis, GSEA, PPI hub-gene prioritization, TF/miRNA regulatory networks, ROC-based biomarker evaluation, and immune infiltration analysis. Covers five study patterns (process-DEG discovery, enrichment/GSEA interpretation, hub-gene prioritization, regulatory-network and immune interpretation, multi-layer public 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.
- Publisher / source
- aipoch/medical-research-skills (found on GitHub top repositories)
- Upstream record
- aipoch/medical-research-skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
a85a60f6430b159901a3d381f972c88fdb7781c9b8c24bc30c866710c19531ad