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bulk-wgcna-analysis-with-omicverse
维护者 FreedomIntelligence · 最近更新 2026年4月1日
Activate this skill for users who want to reproduce the WGCNA workflow from [`t_wgcna.ipynb`](../../omicverse_guide/docs/Tutorials-bulk/t_wgcna.ipynb). It guides you through loading expression data, configuring PyWGCNA, constructing weighted gene co-expression networks, and inspecting modules of interest.
原始来源
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bulk-wgcna-analysis
- 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
核心说明
- Activate this skill ，用于 users who want to reproduce WGCNA workflow ，面向 t_wgcna.ipynb. It guides you through loading expression data，configuring PyWGCNA，constructing weighted gene co-expression networks，、 inspecting modules of interest。
- Import omicverse as ov，scanpy as sc，matplotlib.pyplot as plt，、 pandas as pd。
- Set plotting defaults ，通过 ov.plot_set()。
- Read expression matrices (e.g.，，面向 expressionList.csv)。
- Calculate median absolute deviation ，支持 ，面向 statsmodels import robust 、 gene_mad = data.apply(robust.mad)。
原始文档
SKILL.md 摘录
Examples
- "Build a WGCNA network on the 5xFAD dataset, visualise modules, and extract hub genes from the lightgreen module."
- "Load sample metadata, update colours for sex and genotype, and plot module eigengene heatmaps."
- "Create a sub-network plot for the gold module using a correlation threshold of 0.2."
适用场景
- Use bulk-wgcna-analysis-，支持-omicverse ，用于 single-cell 或 spatial omics analysis。
- Apply bulk-wgcna-analysis-，支持-omicverse to 聚类，integration，或 trajectory workflows。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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