Xavier Daura

The paper develops a network-guided deep learning approach to identify biomarkers for COPD-associated comorbidities using transcriptomic data and validates them in public datasets.

This study shows how DSF signaling in S. maltophilia links quorum sensing, c-di-GMP, σ54 pathways, and metabolic reprogramming to control pathogenicity and antibiotic resistance.

The paper compares radial and diametral similarity thresholds for clustering molecular structures, showing both can produce similar cluster sizes with appropriate threshold choices.

CuBlock normalizes gene-expression microarray data across platforms, effectively separating biological groups, outperforming existing methods in this task.

The paper analyzes global S. maltophilia strains to show genetic diversity and intra-hospital transmission.