# scRNA-seq Data Visualization Methods

Visualizing single-cell RNA-seq (scRNA-seq) data is crucial for understanding the complex patterns and relationships within cellular populations. Effective visualization techniques help in identifying clusters, discovering new cell types, and interpreting differential expression results. \
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We have already explored some visualization methods in the basic scRNA-seq data analysis workflow tutorials. For a deeper dive into various visualization techniques, you can follow the tutorials below. 

### Seurat

{% embed url="<https://satijalab.org/seurat/articles/visualization_vignette>" %}

### scanpy

{% embed url="<https://scanpy-tutorials.readthedocs.io/en/latest/plotting/core.html>" %}


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