菜单
Detect and remove cell doublets from flow cytometry or CyTOF data using scatter gating, DNA/event-length methods, or regression residuals, with batch processing and visualization.
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-doublet-detection |
| description | Detect and remove cell doublets from flow cytometry or CyTOF data using scatter gating, DNA/event-length methods, or regression residuals, with batch processing and visualization. |
| domain | single-cell |
| primary_tool | flowCore |
| methods | ["flowCore","flowDensity","flowAI","CATALYST","ggplot2","ggcyto"] |
| macro_tags | ["doublet-detection","singlet-gating","flow-cytometry","cytof","qc"] |
| micro_tags | ["flowCore","flowDensity","flowAI","CATALYST","ggplot2","ggcyto","data-loading","fcs","channel-check","singlet-gating","fsc","ssc","ratio","cytof","dna-content","event-length","regression","residuals","doublet-rate","batch-processing","fsApply","visualization","reporting"] |
| source | bioskills-doublet-detection |
| status | active |
| enabled | true |
