single-popv-annotation
byomicverse· 32 skills
PopV population-level cell annotation: 10 algorithms (SCVI, SCANVI, CellTypist, OnClass, RF, SVM, XGBoost, BBKNN, HARMONY, SCANORAMA), consensus voting, pretrained hub models.
How to install single-popv-annotation?
omicverse/omicclaw/single-popv-annotation
$npx -y skills add omicverse/omicclaw --skill single-popv-annotationInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/omicverse/omicclaw" --skill "omicverse/omicclaw/single-popv-annotation"` 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/omicverse/omicclaw" that are relevant to the current task. Run `npx skills add "https://github.com/omicverse/omicclaw"` and select the relevant skills, then follow their instructions.
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