菜单
Infer metabolite-mediated cell-cell communication from scRNA-seq data using MeboCost, by predicting metabolite secretion from enzyme expression and sensing via receptors.
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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.
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-metabolite-communication |
| description | Infer metabolite-mediated cell-cell communication from scRNA-seq data using MeboCost, by predicting metabolite secretion from enzyme expression and sensing via receptors. |
| domain | single-cell |
| primary_tool | mebocost |
| methods | ["mebocost","scanpy","matplotlib"] |
| macro_tags | ["metabolite-communication","cell-cell-communication","metabolomics","scRNA-seq"] |
| micro_tags | ["mebocost","scanpy","matplotlib","preprocessing","normalization","qc","communication-inference","permutation","results-analysis","filtering","summarization","visualization","heatmap","network","differential-analysis","comparison","conditions"] |
| source | bioskills-metabolite-communication |
| status | active |
| enabled | true |
