Publications

Visonà, G., Bouzigon, E., Demenais, F., & Schweikert, G. (2023) Network propagation for GWAS analysis: a practical guide to leveraging molecular networks for disease gene discovery. NBriefings in Bioinformatics

Hawkins-Hooker, A.*, Visonà, G.*, Narendra, T., Rojas-Carulla, M., Schölkopf, B., & Schweikert, G. (2023) Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning. Nature Communications, 14(1), 4750.

Visonà, G.*, Duroux, D.*, Miranda, L., Sükei, E., Li, Y., Borgwardt, K., & Oliver, C. (2023) Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information. Bioinformatics, btad717.

Visonà, G., Spiller, L. M., Hahn, S., Hattingen, E., Vogl, T. J., Schweikert, G., ... & Wenger, K. J. (2023) Explainable AI in Biomedical Research: A Systematic Review and Meta-Analysis. Clinical lung cancer.

Malinverno, L., Barros, V., Ghisoni, F., Visonà, G., Kern, R., Nickel, P. J., ... & Rosen-Zvi, M. (2023) A historical perspective of biomedical explainable AI research. Patterns, 4(9).

Narendra, T., Visonà, G., de Jesus Cardona, C., & Schweikert, G. (2022) Multi-histone ChIP-Seq Analysis with DecoDen. bioRxiv, 2022-10. (PREPRINT)

Strigari, L., Ferrero, V., Visonà, G., Dalmasso, F., Gobbato, A., Cerello, P., ... & Attili, A. (2017) Targeted dose enhancement in radiotherapy for breast cancer using gold nanoparticles, part 2: A treatment planning study. Medical physics, 44(5), 1993-2001.

Ferrero, V., Visonà, G., Dalmasso, F., Gobbato, A., Cerello, P., Strigari, L., ... & Attili, A (2017) Targeted dose enhancement in radiotherapy for breast cancer using gold nanoparticles, part 1: A radiobiological model study. Medical physics, 44(5), 1983-1992.