scanpy-scrna-seq

Name: scanpy-scrna-seq
Rating: 5 (1 reviews)
Author: bg-szy

scRNA-seq with Scanpy: QC, normalization, HVG selection, PCA, neighborhood graph, UMAP/t-SNE, Leiden clustering, markers, cell annotation, trajectory inference. Standard scRNA-seq exploration.

1stars

Updated 18 days ago

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Scanpy Single-Cell RNA-seq Analysis

Overview

Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data built on the AnnData format. This skill covers the end-to-end standard workflow: quality control, normalization, highly variable gene selection, dimensionality reduction, clustering, marker gene identification, and cell type annotation. It produces annotated datasets and publication-quality visualizations.

When to Use

Analyzing single-cell RNA-seq count matrices (

[Description truncada. Veja o README completo no GitHub.]

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