gene_panel_selection
byaristoteleo· 25 skills
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).
How to install gene_panel_selection?
aristoteleo/pantheonos/gene_panel_selection
$npx -y skills add aristoteleo/pantheonos --skill gene_panel_selectionInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/aristoteleo/pantheonos" --skill "aristoteleo/pantheonos/gene_panel_selection"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/aristoteleo/pantheonos" that are relevant to the current task. Run `npx skills add "https://github.com/aristoteleo/pantheonos"` and select the relevant skills, then follow their instructions.
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