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。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/BrainStOrmics/BIA-CellHashtag --skill trajectory-inference命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
DAG-MCTS for cell type annotation. Search space is a DAG (Merge + ReEmbed create multi-parent nodes). Uses P-UCT selection, Soft-Bellman backprop, confidence discounting, and transposition table. Per-iteration tree viz emitted as interactive HTML.
Correct batch effects in single-cell data using Harmony, BBKNN, or ComBat.
Query CellWiki knowledge base for marker genes, cell type ontologies, and tissue-specific cell type constraints.
基于 SOC 职业分类
正在显示 SKILL.md
| name | trajectory-inference |
| description | Infer cell trajectories using PAGA graph-based trajectory inference. |
| allowed-tools | Read, Bash |
| compatibility | scRNA-seq, snRNA-seq |
To understand developmental trajectories and cell state transitions within a dataset.
paga_trajectory(adata, cluster_key="leiden", plot=True, output_dir=None) -> dictRuns PAGA trajectory inference on AnnData.
Requires sc.pp.neighbors() and sc.tl.leiden() to have been run.
Returns dict with:
connectivities_tree: PAGA tree as networkx graphplot_path: path to saved PAGA plot (if output_dir provided)Parameters:
cluster_key: Column in adata.obs for clusteringplot: Whether to generate PAGA plotoutput_dir: Directory to save plot