Embed and annotate single-cell expression data with scGPT, a foundation model for single-cell biology. Use this skill when: (1) Producing cell embeddings from an AnnData for clustering/integration, (2) Zero-shot or fine-tuned cell-type annotation, (3) Gene-level representation for perturbation/GRN tasks.
How to install scgpt?
xuzhougeng/wisp-science/scgpt
$npx -y skills add xuzhougeng/wisp-science --skill scgptInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/xuzhougeng/wisp-science" --skill "xuzhougeng/wisp-science/scgpt"` 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/xuzhougeng/wisp-science" that are relevant to the current task. Run `npx skills add "https://github.com/xuzhougeng/wisp-science"` and select the relevant skills, then follow their instructions.
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