Analyze single-cell data with deep learning.
Guides single-cell analysis with scvi-tools to produce integrated datasets, trained models, cell labels, and visualizations.
When to use it
Use for deep learning-based single-cell integration, batch correction, multi-modal analysis, reference mapping, or latent representation learning.
Give it single-cell data and an analysis request; it produces processed data, trained models, and analysis plots.
What you provide
The bundled analysis scripts run with Python 3.
Model training requires the scvi-tools package.
Data preparation, validation, and clustering require scanpy.
This skill
scvi-tools Documentation
Checks scvi-tools API documentation