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Cluster and phenotype high-dimensional flow/mass cytometry data to discover cell populations without predefined gates.
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-clustering-phenotyping |
| description | Cluster and phenotype high-dimensional flow/mass cytometry data to discover cell populations without predefined gates. |
| domain | single-cell |
| primary_tool | CATALYST |
| methods | ["CATALYST","FlowSOM","Rphenograph","batchelor","SingleCellExperiment"] |
| macro_tags | ["clustering","phenotyping","cytometry","cell-type-annotation"] |
| micro_tags | ["flowsom","catalyst","phenograph","umap","tsne","mergeClusters","plotAbundances","batchelor","prepData"] |
| source | bioskills-clustering-phenotyping |
| status | active |
| enabled | true |
