Data & ReproSingle-Cell & Spatial OmicsK-Dense-AI/claude-scientific-skillsData & Reproduction
CE

Cellxgene Census

Maintainer K-Dense Inc. · Last updated April 1, 2026

The C.

Claude CodeOpenClawNanoClawAnalysisReproductioncellxgene-censusbioinformaticspackagebioinformatics & genomics

Original source

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/cellxgene-census

Maintainer
K-Dense Inc.
License
Unknown
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • 61+ million cells from human and mouse.
  • Standardized metadata (cell types, tissues, diseases, donors).
  • Raw gene expression matrices.
  • Pre-calculated embeddings and statistics.
  • Integration with PyTorch, scanpy, and other analysis tools.

Source Doc

Excerpt From SKILL.md

When to Use This Skill

This skill should be used when:

  • Querying single-cell expression data by cell type, tissue, or disease
  • Exploring available single-cell datasets and metadata
  • Training machine learning models on single-cell data
  • Performing large-scale cross-dataset analyses
  • Integrating Census data with scanpy or other analysis frameworks
  • Computing statistics across millions of cells
  • Accessing pre-calculated embeddings or model predictions

Installation and Setup

Install the Census API:

For machine learning workflows, install additional dependencies:

1. Opening the Census

Always use the context manager to ensure proper resource cleanup:

import cellxgene_census

Use cases

  • Querying single-cell expression data by cell type, tissue, or disease.
  • Exploring available single-cell datasets and metadata.
  • Training machine learning models on single-cell data.
  • Performing large-scale cross-dataset analyses.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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