The paper constructs a comprehensive liver-specific gene interaction network using transcriptomic data from multiple species to enable unbiased analysis of liver disease pathways.

bioRxiv · Mar 17, 2025 · PreprintSystems Biology

Interpretable machine learning identifies paediatric Systemic Lupus Erythematosus subtypes based on gene expression data

Sara A. Yones, Alva Annett, Patricia Stoll, Klev Diamanti, Linda Holmfeldt, Fredrik Barrenäs, Jennifer R. S. Meadows, Jan Komorowski

The paper uses rule-based machine learning to identify gene expression subtypes in paediatric SLE, revealing gene networks associated with disease activity and immune pathways.

Scientific Reports · May 6, 2022Peer-reviewedBioinformatics

Sustained IL-15 response signature predicts RhCMV/SIV vaccine efficacy

Fredrik Barrenäs, Scott G. Hansen, G. Lynn Law, Connor B. Driscoll, Richard R. Green, Elise A. Smith, Jean Chang, Inah Golez, Taryn Urion, Xinxia Peng, Leanne S. Whitmore, Daniel Newhouse, Colette M. Hughes, David Morrow, Kurt T. Randall, , Michael Gale

The paper identifies an IL-15 response signature in vaccinated rhesus macaques that correlates with protection against SIV challenge following RhCMV/SIV vaccination.

bioRxiv · Jan 11, 2021 · PreprintGenomics