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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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 |
