Gene Panel Selection Workflow
Gene Panel Selection Workflow is a Bioinformatics & life sciences skill for AI agents, published by BioTender-max in the awesome-bio-agent-skills repository on GitHub. Skillspace rates Gene Panel Selection Workflow F (51/100) and it passed the safety scan; the rating is based on static analysis only.
End-to-end workflow for gene panel design in scRNA-seq and spatial transcriptomics, that should be **STRICTLY** followed: dataset understanding + smart downsampling + train/test splits, algorithmic selection (HVG/DE/RF/scGeneFit/SpaPROS), optimal sub-panel discovery (ARI vs size), biological completion with a stability gate (Completion Rule), consensus scoring and completion (only if there is still room), and benchmarking on test splits (ARI/NMI/Silhouette + UMAP similarity).
- Grade
- F
- Quality
- 51 / 100
- Safety
- Passed
- GitHub stars
- 115
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 69 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 2 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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