End-to-end analysis of the PBMC 3k single-cell RNA-seq dataset using Python and Scanpy, including preprocessing, UMAP visualization, Leiden clustering, cell type annotation, and marker gene identification.
- Updated
Jul 3, 2025 - Jupyter Notebook
End-to-end analysis of the PBMC 3k single-cell RNA-seq dataset using Python and Scanpy, including preprocessing, UMAP visualization, Leiden clustering, cell type annotation, and marker gene identification.
Comparison of Seurat normalization workflows and manual vs. SeuratData cluster labeling on the PBMC3k dataset.
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