Article Versions Notes

Franzo G, Fusaro A, Snoeck CJ, Dodovski A, Van Borm S, Steensels M, Christodoulou V, Onita I, Burlacu R, Sánchez AS, et al. Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains. Viruses. 2025; 17(4):567. https://doi.org/10.3390/v17040567

Franzo, Giovanni, Alice Fusaro, Chantal J. Snoeck, Aleksandar Dodovski, Steven Van Borm, Mieke Steensels, Vasiliki Christodoulou, Iuliana Onita, Raluca Burlacu, Azucena Sánchez Sánchez, and et al. 2025. "Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains" Viruses 17, no. 4: 567. https://doi.org/10.3390/v17040567

Franzo, G., Fusaro, A., Snoeck, C. J., Dodovski, A., Van Borm, S., Steensels, M., Christodoulou, V., Onita, I., Burlacu, R., Sánchez, A. S., Chvala, I. A., Torchetti, M. K., Shittu, I., Olabode, M., Pastori, A., Schivo, A., Salomoni, A., Maniero, S., Zambon, I., ... Bortolami, A. (2025). Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains. Viruses, 17(4), 567. https://doi.org/10.3390/v17040567