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spatial-proteomics

维护者 FreedomIntelligence · 最近更新 2026年4月1日

spatial-proteomics.

OpenClawNanoClaw分析处理复现实验spatial-proteomicsopenclaw medical skillsadditional scientific toolsspatial

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/spatial-proteomics

维护者
FreedomIntelligence
许可
MIT
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

  • adata = ad.read_h5ad('spatial_proteomics.h5ad')。
  • sm.pp.combat(adata，batch_key='fov')。

原始文档

SKILL.md 摘录

Data Loading

import scimap as sm
import anndata as ad

## Manual gating approach

phenotype_markers = {
    'T_cell': ['CD3', 'CD45'],
    'B_cell': ['CD20', 'CD45'],
    'Macrophage': ['CD68', 'CD163'],
    'Tumor': ['panCK', 'Ki67']
}

sm.tl.phenotype_cells(adata, phenotype=phenotype_markers,
                      gate=0.5, label='phenotype')

## Clustering-based phenotyping

sm.tl.cluster(adata, method='leiden', resolution=1.0)

适用场景

  • Use spatial-proteomics in 科研工作流 aligned ，支持 this subject area。
  • Follow upstream documentation ，用于 full working procedure。

不适用场景

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

上游相关技能

  • spatial-transcriptomics/spatial-neighbors - Spatial graph construction
  • spatial-transcriptomics/spatial-domains - Domain identification
  • imaging-mass-cytometry/phenotyping - IMC-specific analysis

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