数据与复现单细胞与空间组学K-Dense-AI/claude-scientific-skills数据与复现
CE

Cellxgene Census

维护者 K-Dense Inc. · 最近更新 2026年4月1日

The C.

Claude CodeOpenClawNanoClaw分析处理复现实验cellxgene-censusbioinformaticspackagebioinformatics & genomics

原始来源

K-Dense-AI/claude-scientific-skills

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

维护者
K-Dense Inc.
许可
Unknown
最近更新
2026年4月1日

技能摘要

来自 SKILL.md 的关键信息

2 min

核心说明

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

原始文档

SKILL.md 摘录

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

适用场景

  • Querying single-cell expression data by cell type,tissue,或 disease。
  • Exploring available single-cell 数据集s 、 metadata。
  • Training 机器学习 models on single-cell data。
  • Performing large-scale cross-数据集 analyses。

不适用场景

  • Do not rely on this catalog entry alone ,用于 installation 或 maintenance details。

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