3 papers
stat.AP2026
Enhancing comorbidity network inference with risk-enriched health trajectories embedding
Nicole Fontana, Alessia Mapelli, Emanuele Di Angelantonio +1
Multimorbidity poses a growing challenge for individual health, reducing quality of life and increasing treatment burden, resulting in a multiplicative impact on healthcare system…
stat.AP2026
Prior-informed conditional Gaussian graphical models: an application to protein interaction network reconstruction
Alessia Mapelli, Michela Carlotta Massi, Gianmauro Cuccuru +2
Protein-protein interaction (PPI) networks, estimated from high-throughput omics data, foster biomarker discovery and precision medicine. Gaussian graphical models (GGMs) offer a p…
stat.ME2026
A neighbour selection approach for identifying differential networks in conditional functional graphical models
Alessia Mapelli, Laura Carini, Francesca Ieva +1
Estimating how different brain regions communicate with each other using EEG data is valuable both for medical research and clinical diagnosis. This involves quantifying the statis…