Menu
Infer and quantify cell-cell communication from scRNA-seq data using CellChat, NicheNet, and LIANA frameworks.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
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 |
