scanpy vs XLSX
Сравнение двух Agent Skills бок о бок. Выбери подходящий для Claude Code или Claude Desktop.
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visua
Сравнение
| Параметр | scanpy | XLSX |
|---|---|---|
| Скрипты | есть | есть |
| Разрешённые инструменты | любые | 3 |
| Тип установки | personal | personal |
| Категория | data | data |
| Проверен | — | |
| Лицензия | BSD-3-Clause | MIT |
| Автор | K-Dense AI | Anthropic |
| Repo | K-Dense-AI/scientific-agent-skills | anthropics/skills |
Когда брать scanpy
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and converting R-friendly single-cell formats such as Seurat or SingleCellExperiment RDS files into h5ad for Scanpy. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.
Когда брать XLSX
Work with Excel (.xlsx) spreadsheets: read data, compute formulas, build sheets with formatting and charts, and export analysis as real workbooks.
Ищешь другое? Все скиллы.