📖 _Journal of Open Source Software_ · 2026 — Open-source toolkit for integrating spatial transcriptomics data from Xenium, CosMx and MERFISH into a standardised SpatialData …
📖 _Nature Communications_ · 2025 — A mathematical framework for mining higher-order triadic interactions in complex networks, showing how signed triadic relationships shape network …
📖 _Scientific Reports_ · 2024 — A formal connection between deep learning dynamics and Ricci flow on Riemannian manifolds, giving a geometric framework for neural network training.
📖 _Nature Communications_ · 2024 — Using Ricci flow to chart cellular differentiation trajectories and reveal the geometric structure of gene expression landscapes during …
We use multilayer network exploration to define the molecular landscape of premature aging diseases, revealing shared and distinct molecular mechanisms across progeroid syndromes.
We present a comprehensive framework for Random Walk with Restart on multilayer networks, extending its application from node prioritisation to supervised link prediction and …
A comprehensive review and guide to network embedding methods, covering spectral, random walk, deep learning, and geometric approaches, with a unified framework for comparison.
📖 _Communications Physics_ · 2022 — A universal framework for multilayer network exploration using Random Walk with Restart, enabling the integration of heterogeneous biological …
Combined X-ray, neutron scattering and molecular simulation study revealing the microscopic origin of the pre-peak in aqueous propylamine mixtures.
We develop a theoretical framework for modelling micro-heterogeneity in liquid mixtures, examining the role of many-body correlations in determining mixture structure.