Deep learning for single-cell analysis using scvi-tools and scverse ecosystem. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping, (7) RNA velocity with veloVI, or (8) QC analysis of single-cell RNA-seq data. Triggers include scVI, scANVI, totalVI, QC, quality control, batch correction, integration, multi-modal.
How to install bio-single-cell?
frumu-ai/tandem/bio-single-cell
$npx -y skills add frumu-ai/tandem --skill bio-single-cellInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/frumu-ai/tandem" --skill "frumu-ai/tandem/bio-single-cell"` 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/frumu-ai/tandem" that are relevant to the current task. Run `npx skills add "https://github.com/frumu-ai/tandem"` and select the relevant skills, then follow their instructions.
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