菜单
Automated cell type annotation for preprocessed single-cell data using reference-based and custom classifiers (CellTypist, SingleR, Azimuth, scPred), with confidence filtering, consensus voting, and marker-based validation.
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-cell-annotation |
| description | Automated cell type annotation for preprocessed single-cell data using reference-based and custom classifiers (CellTypist, SingleR, Azimuth, scPred), with confidence filtering, consensus voting, and marker-based validation. |
| domain | single-cell |
| primary_tool | celltypist |
| methods | ["celltypist","singler","azimuth","scpred","celldex","scanpy","seurat"] |
| macro_tags | ["cell-annotation","reference-mapping","classification","consensus","validation"] |
| micro_tags | ["celltypist","singler","azimuth","scpred","celldex","scanpy","seurat","reference-mapping","custom-model","confidence-filtering","consensus","majority-voting","validation","ari","nmi","marker-genes","input-loading","version-check"] |
| source | bioskills-cell-annotation |
| status | active |
| enabled | true |
