Morgane Térézol

The paper investigates how sulfur deficiency and water deficit interact in pea plants, showing synergistic redox adjustments through coordinated transcript-protein regulation.

MOTL improves multi-omics data factorization for small datasets by transferring knowledge from large datasets, enhancing cancer subtype identification in glioblastoma samples.

The paper develops a network-based method to identify novel phenotypes for rare diseases by integrating clinical data with prior knowledge from Orphanet and HPO.

This study applies collaborative network analysis to Huntington's disease transcriptomics data to identify enriched pathways and generate hypotheses about disease mechanisms.

MOGAMUN identifies active modules in multiplex biological networks by optimizing interaction density and node scores, outperforming existing methods in interpretability and handling multiplex data.