skills/smithery.ai/bio-single-cell-preprocessing

bio-single-cell-preprocessing

Installation
SKILL.md

Version Compatibility

Reference examples tested with: ggplot2 3.5+, matplotlib 3.8+, numpy 1.26+, scanpy 1.10+

Before using code patterns, verify installed versions match. If versions differ:

  • Python: pip show <package> then help(module.function) to check signatures
  • R: packageVersion('<pkg>') then ?function_name to verify parameters

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

Single-Cell Preprocessing

"Preprocess my scRNA-seq data" → Filter low-quality cells/genes, normalize counts, identify highly variable genes, and prepare data for dimensionality reduction and clustering.

  • Python: scanpy.pp.filter_cells() → normalize_total() → log1p() → highly_variable_genes()
  • R: Seurat::NormalizeData() → FindVariableFeatures() → ScaleData()

Quality control, filtering, normalization, and feature selection for scRNA-seq data.

Installs
1
First Seen
Apr 4, 2026
bio-single-cell-preprocessing from smithery.ai