Scanpy
원문: scanpy
Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type annotation, trajectory, for scRNA-seq analysis.
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Scanpy: Single Cell Analysis Overview Scanpy is a scalable Python toolkit for analyzing single cell RNA seq data, built on AnnData. Apply this skill for complete single cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis. When to Use This Skill This skill should be used when: Analyzing single cell RNA seq data (.h5ad, 10X, CSV formats) Performing quality control on scRNA seq datasets Creating UMAP, t SNE, or PCA visualizations Identifying cell clusters and finding marker genes Annotating cell types based on gene expression Conducting trajectory inference or pseudotime analysis Genera…
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