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scanpy

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.

K-Dense-AI
maintainer
K-Dense-AI
์—…๋ฐ์ดํŠธ๋จ 2026. 3. 3.
์Šคํƒ€
18069
ํฌํฌ
1997
quick start

Installation and usage

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, and visualization. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.

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$ install --globalskills.sh
์‚ฌ์šฉ๋ฒ•

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skills use scanpy