菜单
Interactively annotate cell types in multiplexed imaging (IMC) data using napari visualization with marker overlays, then extract training data, propagate labels with KNN, and validate annotations.
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 | bioskills-interactive-annotation |
| description | Interactively annotate cell types in multiplexed imaging (IMC) data using napari visualization with marker overlays, then extract training data, propagate labels with KNN, and validate annotations. |
| domain | single-cell |
| primary_tool | napari |
| methods | ["napari","scikit-image","scikit-learn","magicgui","matplotlib","pandas","numpy"] |
| macro_tags | ["interactive-annotation","cell-typing","imaging","napari","training-data","imc"] |
| micro_tags | ["napari","scikit-image","scikit-learn","magicgui","matplotlib","pandas","numpy","visualization","marker-overlay","annotation","export","batch","workflow","feature-extraction","training-data","regionprops","knn","classification","propagation","confidence","validation","qc"] |
| source | bioskills-interactive-annotation |
| status | active |
| enabled | true |
