APA (7th ed.) Citation

Neller, A., Bukva, M., Gálik, B., Kun, J., Nagy, N., Somogyvári, F., . . . Széll, M. (2026). A Unique Patient Stratification Method Combined with a Machine Learning Approach Identifies Novel Genetic Susceptibility and Protective Factors for Severe COVID-19 in a Hungarian Population. International Journal of Molecular Sciences, 27(5), 2358. https://doi.org/10.3390/ijms27052358

Chicago Style (17th ed.) Citation

Neller, Alexandra, et al. "A Unique Patient Stratification Method Combined with a Machine Learning Approach Identifies Novel Genetic Susceptibility and Protective Factors for Severe COVID-19 in a Hungarian Population." International Journal of Molecular Sciences 27, no. 5 (2026): 2358. https://doi.org/10.3390/ijms27052358.

MLA (9th ed.) Citation

Neller, Alexandra, et al. "A Unique Patient Stratification Method Combined with a Machine Learning Approach Identifies Novel Genetic Susceptibility and Protective Factors for Severe COVID-19 in a Hungarian Population." International Journal of Molecular Sciences, vol. 27, no. 5, 2026, p. 2358, https://doi.org/10.3390/ijms27052358.