菜单
Choose and produce publication-quality 2D dimensionality-reduction plots (PCA, t-SNE, UMAP, PHATE) with deliberate hyperparameters and honest interpretation limits.
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-dimensionality-reduction-plots |
| description | Choose and produce publication-quality 2D dimensionality-reduction plots (PCA, t-SNE, UMAP, PHATE) with deliberate hyperparameters and honest interpretation limits. |
| domain | single-cell |
| primary_tool | scanpy |
| methods | ["scanpy","umap-learn","openTSNE","phate","sklearn","PCAtools","Rtsne","uwot","DESeq2"] |
| macro_tags | ["dimensionality-reduction","visualization","pca","umap","tsne","phate","reproducibility"] |
| micro_tags | ["scanpy","umap-learn","openTSNE","phate","sklearn","PCAtools","Rtsne","uwot","DESeq2","method-selection","normalization","scaling","pca","variance-explained","loadings","batch-diagnostic","tsne","perplexity","pca-initialization","umap","n-neighbors","min-dist","reproducibility","trajectory","diffusion","visualization","saving","dpi","interpretation"] |
| source | bioskills-dimensionality-reduction-plots |
| status | active |
| enabled | true |
