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Infer and quantify cell-cell communication from scRNA-seq data using CellChat, NicheNet, and LIANA frameworks.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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 |
