菜单
Ligand-receptor communication inference in single-cell or spatial data with sender-receiver summaries and cautious interpretation.
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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.
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.
Pseudotime, lineage branching, and state-transition analysis for single-cell data with coherent embeddings and annotations.
| name | bioclaw-hub-cell-communication |
| description | Ligand-receptor communication inference in single-cell or spatial data with sender-receiver summaries and cautious interpretation. |
| domain | single-cell |
| primary_tool | liana |
| methods | ["liana","pandas","networkx","seaborn","matplotlib"] |
| macro_tags | ["workflow","cell-communication","ligand-receptor","interaction-scoring"] |
| micro_tags | ["liana","pandas","networkx","seaborn","matplotlib","qc","annotation-validation","ligand-receptor","database","interaction-scoring","permutation-test","aggregation","summarization","sender-receiver","visualization","interpretation","caveats"] |
| source | bioclaw-hub-cell-communication |
| status | active |
| enabled | true |
| custom | false |
