数据与复现单细胞与空间组学FreedomIntelligence/OpenClaw-Medical-Skills数据与复现
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single-cell-clustering-and-batch-correction-with-omicverse

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

This skill distills the single-cell tutorials [`t_cluster.ipynb`](../../omicverse_guide/docs/Tutorials-single/t_cluster.ipynb) and [`t_single_batch.ipynb`](../../omicverse_guide/docs/Tutorials-single/t_single_batch.ipynb). Use it when a user wants to preprocess an `AnnData` object, explore clustering alternatives (Leiden, Louvain, scICE, GMM, topic/cNMF models), and evaluate or harmonise batches with omicverse utili….

OpenClawNanoClaw分析处理复现实验single-clustering🔬 omics & computational biologysingle-cell & spatial omicsguide

原始来源

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/single-clustering

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

  • This skill distills single-cell tutorials t_cluster.ipynb 、 t_single_batch.ipynb. Use it when user wants to preprocess AnnData object,explore 聚类 alternatives (Leiden,Louvain,scICE,GMM,topic/cNMF models),、 evaluate 或 harmonise batches ,支持 omicverse utilities。
  • Load omicverse as ov,scanpy as sc,、 plotting helpers (scvelo as scv when ,使用 dentate gyrus demo data)。
  • Apply ov.plot_set() 或 ov.utils.ov_plot_set() so figures adopt omicverse styling before embedding plots。
  • 用于 demo 聚类,fetch scv.数据集s.dentategyrus();,用于 integration,read provided.h5ad files ,通过 ov.read() 、 set adata.obs['batch'] identifiers ,用于 each cohort。
  • Confirm inputs are sparse numeric matrices;convert ,支持 adata.X = adata.X.astype(np.int64) when required ,用于 QC steps。

原始文档

SKILL.md 摘录

Examples

  • "Normalise dentate gyrus cells, compare Leiden, scICE, and GMM clusters, and report ARI scores versus provided clusters."
  • "Batch-correct three NeurIPS datasets with Harmony and scVI, produce MDE embeddings coloured by batch and cell_type, and benchmark the embeddings."
  • "Fit topic and cNMF models on a preprocessed AnnData object, retrieve classifier-refined cluster calls, and visualise the resulting programs on UMAP."

适用场景

  • Use single-cell-聚类-、-batch-correction-,支持-omicverse ,用于 single-cell 或 spatial omics analysis。
  • Apply single-cell-聚类-、-batch-correction-,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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