菜单
Standard scRNA-seq preprocessing and clustering with Scanpy: QC, filtering, normalization, HVG selection, PCA, neighbors, UMAP, and Leiden clustering, producing an analysis-ready AnnData object.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Load BioMaster as one integrated skill-driven bioinformatics assistant.
BioMaster conversational bioinformatics assistant; starts workflows only after execution intent or empty activation.
Automated and marker-guided single-cell cell type annotation using CellTypist, marker review, reference transfer, and confidence-aware label curation.
Ligand-receptor communication inference in single-cell or spatial data with sender-receiver summaries and cautious interpretation.
Workflow for paired or integrated single-cell RNA and ATAC analysis with multimodal latent spaces and regulatory interpretation.
Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready spatial maps.
| name | bioclaw-scrna-preprocessing-clustering |
| description | Standard scRNA-seq preprocessing and clustering with Scanpy: QC, filtering, normalization, HVG selection, PCA, neighbors, UMAP, and Leiden clustering, producing an analysis-ready AnnData object. |
| domain | single-cell |
| primary_tool | scanpy |
| methods | ["scanpy","anndata","leiden","umap","pca"] |
| macro_tags | ["single-cell","scrna-seq","preprocessing","clustering","dimensionality-reduction","workflow"] |
| micro_tags | ["scanpy","anndata","leiden","umap","pca","data-io","var-names","qc","qc-metrics","violin-plot","filtering","doublet-removal","thresholds","normalization","log1p","highly-variable-genes","scaling","neighbors","clustering","export","h5ad","qc-report"] |
| source | bioclaw/scrna-preprocessing-clustering |
| status | active |
| enabled | true |
