Generative Distribution Embeddings: Decoding Complex Biological Systems Through Distributional Intelligence

Generative Distribution Embeddings (GDE): Modeling Distribution-Level Features in Complex Biological Systems Introduction: Why Distribution-Level Modeling Matters? In biomedical research, we often need to capture population-level behavioral patterns from massive datasets. Typical scenarios include: Gene expression distributions across cell clones in single-cell sequencing Tissue-specific DNA methylation patterns Spatiotemporal evolution trajectories of viral protein sequences Traditional methods focus on individual data points (e.g., single cells or sequences), but real-world problems are inherently multi-scale – each observed sample reflects an underlying distribution, and these distributions themselves follow higher-order patterns. Generative Distribution Embeddings (GDE) emerge as a solution for such hierarchical modeling challenges. Technical …