anndata
仓库创建 2025年10月20日最近提交 5 小时前SkillHot 收录 20 天前
▸ 精选理由
对单细胞分析的研究者和数据工程师非常必要，生态成熟。
这个 Skill 做什么
用于单细胞数据的注释矩阵格式与 Python API，便于读写 .h5ad 文件。
提供单细胞常用的“带注释的矩阵”数据结构，方便读写 .h5ad，把表达矩阵 X、细胞/基因注释（obs/var）和多维嵌入（obsm）等整齐保存。适合在 Scanpy/scverse 生态里做数据交换与处理时使用。特点是通用且被单细胞工具广泛支持，利于复现与共享。
▸ 展开 SKILL.md 英文原文
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
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帮我安装这个 skill：https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/anndata/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/K-Dense-AI/scientific-agent-skills/main/skills/anndata/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# AnnData ## Overview AnnData is a Python package for handling annotated data matrices, storing experimental measurements (X) alongside observation metadata (obs), variable metadata (var), and multi-dimensional annotations (obsm, varm, obsp, varp, uns). Originally designed for single-cell genomics through Scanpy, it now serves as a general-purpose framework for any annotated data requiring efficient storage, manipulation, and analysis. ## When to Use This Skill Use this skill when: - Creating, reading, or writing AnnData objects - Working with h5ad, zarr, or other genomics data formats - Performing single-cell RNA-seq analysis - Managing large datasets with sparse matrices or backed mode
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