Tutorials

We provide a variety of tutorials to help you get started with scXpand:

• Getting Started with scXpand - Learn how to prepare scRNA-seq data and apply scXpand models for T cell expansion prediction using a breast cancer dataset example.

• Model Inference and Evaluation Pipeline - Discover how to load trained models, run inference on new data, and evaluate performance using ROC curves and AUROC metrics across different tissue types and labels.

• Autoencoder Embedding Visualization - Explore how to generate and visualize latent representations from autoencoder models, coloring plots by expansion status and tissue type for biological insights.

• scXpand Tutorial: Data Preparation and Model Application
• Model Inference & Evaluation Pipeline
• Embedding Visualization