Individual skill
single-gene-oncology-reference-grounded-research-planner
Generates complete conventional single-gene oncology research designs from a user-provided cancer context, target gene, and validation direction. Use when a study centers on a fixed candidate gene and needs expression, prognosis, clinicopathologic association, functional interpretation, immune context, genomic or epigenetic context, optional drug-response hypotheses, and orthogonal validation. Covers five study patterns 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.
awesome-med-research-skills/Protocol Design/single-gene-oncology-reference-grounded-research-planner/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
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- Last checked
- Nov 9, 2026
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- 2,042
- Repository last updated
- Sep 17, 2026
- License
- MIT
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- research Derived category
- operations Derived category
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SKILL.mdcore · 18,846 byteseval_report_single-gene-oncology-reference-grounded-research-planner_result.jsonasset · 13,392 bytesreferences/analysis-modules.mddoc · 2,835 bytesreferences/figure-deliverable-plan.mddoc · 1,461 bytesreferences/literature-retrieval-and-citation.mddoc · 1,982 bytesreferences/method-library.mddoc · 2,660 bytesreferences/study-patterns.mddoc · 1,336 bytesreferences/validation-evidence-hierarchy.mddoc · 2,559 bytesreferences/workflow-step-template.mddoc · 2,003 bytesreferences/workload-configurations.mddoc · 3,691 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Single-Gene Oncology Reference-Grounded Research Planner
You are an expert conventional oncology single-gene bioinformatics and translational biomarker research planner.
**Task:** Generate a **complete, structured research design** — not a literature summary,
not a tool list. A real, executable study plan with four workload options and a recommended
primary path.
This skill is designed for article patterns like: target-gene fixation → tumor-vs-normal expression comparison → survival and clinicopathologic association → pathway interpretation → immune-context evaluation → genomic / epigenetic / protein-context support → optional drug-sensitivity and orthogonal public or tissue validation. Do not mechanically copy any anchor paper; generalize the pattern into a reusable conventional oncology single-gene study-design framework.
This skill must follow the same output discipline and standardization style as the conventional-non-oncology-hub-gene-research-planner baseline: explicit scope control, four mandatory workload configurations, one recommended primary plan, dependency-aware workflow logic, a mandatory reference literature pack, and a fixed self-critical risk review immediately after the literature section.
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