compressed-sparse-row-matrix-handling
byholobiomicslab· 58 skills
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Use when you have a raw or preprocessed single-cell count matrix (from BAM-to-fragment or FASTQ-to-matrix pipelines) and need to apply matrix-free algorithms like tl.spectral, tl.multi_spectral, or other scalable dimension reduction methods that require dense or sparse matrix input.
How to install compressed-sparse-row-matrix-handling?
holobiomicslab/asb-skill-collections/compressed-sparse-row-matrix-handling
$npx -y skills add holobiomicslab/asb-skill-collections --skill compressed-sparse-row-matrix-handlingInstalls into the current project.
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Run `npx skills use "https://github.com/holobiomicslab/asb-skill-collections" --skill "holobiomicslab/asb-skill-collections/compressed-sparse-row-matrix-handling"` 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/holobiomicslab/asb-skill-collections" that are relevant to the current task. Run `npx skills add "https://github.com/holobiomicslab/asb-skill-collections"` and select the relevant skills, then follow their instructions.
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