菜单
Infer and quantify cell-cell communication from scRNA-seq data using CellChat, NicheNet, and LIANA frameworks.
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-communication |
| description | Infer and quantify cell-cell communication from scRNA-seq data using CellChat, NicheNet, and LIANA frameworks. |
| domain | single-cell |
| primary_tool | CellChat |
| methods | ["CellChat","NicheNet","LIANA","Seurat","scanpy"] |
| macro_tags | ["cell-communication","ligand-receptor","signaling","workflow"] |
| micro_tags | ["cellchat","nichenet","liana","tensor-decomposition","visualization","rank-aggregation"] |
| source | bioskills-cell-communication |
| status | active |
| enabled | true |
