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Choose and produce publication-quality 2D dimensionality-reduction plots (PCA, t-SNE, UMAP, PHATE) with deliberate hyperparameters and honest interpretation limits.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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| 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 |
