3 papers
cs.LG2025
MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder
Zhiyu Wang, Sonia Koszut, Pietro Liò +1
The integration of multi-omics single-cell data remains challenging due to high-dimensionality and complex inter-modality relationships. To address this, we introduce MoRE-GNN (Mul…
cs.LG2025
ContextFlow: Context-Aware Flow Matching For Trajectory Inference From Spatial Omics Data
Santanu Subhash Rathod, Francesco Ceccarelli, Sean B. Holden +3
Inferring trajectories from longitudinal spatially-resolved omics data is fundamental to understanding the dynamics of structural and functional tissue changes in development, rege…
cs.LG2025
Decoding the Stressed Brain with Geometric Machine Learning
Sonia Koszut, Sam Nallaperuma-Herzberg, Pietro Lio
Stress significantly contributes to both mental and physical disorders, yet traditional self-reported questionnaires are inherently subjective. In this study, we introduce a novel…