BrainStOrmics
BrainStOrmics/BIA-CellHashtag
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 format-conversion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 | format-conversion |
| description | Load single-cell RNA-seq data from h5ad, rds, or 10x mtx formats into AnnData objects. |
| allowed-tools | Read, Bash |
| compatibility | h5ad, rds, sce, 10x mtx |
load_h5ad(path))Native AnnData format. Direct load via scanpy.read_h5ad().
.X, .obs, .var, .obsm, .uns, .obspload_mtx(path))10x Genomics matrix directory. Expects:
matrix.mtx (or matrix.mtx.gz)genes.tsv (or features.tsv)barcodes.tsv
Loaded via scanpy.read_10x_mtx(path, var_names="gene_symbols").load_rds(path))R Seurat object saved as .rds. Requires rpy2 and anndata2ri or zellkonverter.
load_sce(path))SingleCellExperiment object saved as .rds. Requires zellkonverter and rpy2.
Loaded via zellkonverter.readRDS(path).
All loaders return an AnnData object ready for downstream analysis.