376-Novae: A Foundation Model for Spatial Data
The article introduces Novae, a graph-based foundation model designed to analyze spatial transcriptomics data across diverse tissues and technologies. Traditional methods often struggle with batch effects and predefined gene panels, but Novae utilizes self-supervised learning and optimal transport to identify consistent spatial domains without these limitations. By employing a graph attention encoder and learnable prototypes, the model can process millions of cells efficiently while maintaining high spatial resolution. Research highlights its ability to integrate with H&E staining and protein…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.