菜单
Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready spatial maps.
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.
Pseudotime, lineage branching, and state-transition analysis for single-cell data with coherent embeddings and annotations.
| name | bioclaw-hub-spatial-transcriptomics |
| description | Workflow for spatial transcriptomics preprocessing, domain detection, deconvolution, neighborhood analysis, and publication-ready spatial maps. |
| domain | single-cell |
| primary_tool | scanpy |
| methods | ["scanpy","squidpy","matplotlib","seaborn"] |
| macro_tags | ["workflow","spatial-transcriptomics","domain-detection","deconvolution","neighborhood-analysis","spatial-visualization"] |
| micro_tags | ["scanpy","squidpy","matplotlib","seaborn","spatial-validation","coordinate-check","barcode-alignment","qc","normalization","hvg-selection","spatial-neighbors","pca","leiden","domain-detection","spatial-autocorrelation","marker-genes","deconvolution","cell-type-scoring","spatial-regression","neighborhood-enrichment","interaction-matrix","ripley","ligand-receptor","spatial-plotting","visualization","publication-figures","export","save-results","csv-output","h5ad"] |
| source | bioclaw-hub-spatial-transcriptomics |
| status | active |
| enabled | true |
