Nadal-MartÃnez, A.; Pérez-Solero, G.; Ferreiro López, S.; Blom-Dahl, J.; Montanya, E.; Alonso-Bernáldez, M.; Shabot, M.; Binsch, C.; Szczerbinski, L.; Kretowski, A.;
et al. Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights. Int. J. Mol. Sci. 2026, 27, 2966.
https://doi.org/10.3390/ijms27072966
AMA Style
Nadal-MartÃnez A, Pérez-Solero G, Ferreiro López S, Blom-Dahl J, Montanya E, Alonso-Bernáldez M, Shabot M, Binsch C, Szczerbinski L, Kretowski A,
et al. Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights. International Journal of Molecular Sciences. 2026; 27(7):2966.
https://doi.org/10.3390/ijms27072966
Chicago/Turabian Style
Nadal-MartÃnez, Antonio, Guillermo Pérez-Solero, Sandra Ferreiro López, Jorge Blom-Dahl, Eduard Montanya, Marta Alonso-Bernáldez, Moises Shabot, Christian Binsch, Lukasz Szczerbinski, Adam Kretowski,
and et al. 2026. "Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights" International Journal of Molecular Sciences 27, no. 7: 2966.
https://doi.org/10.3390/ijms27072966
APA Style
Nadal-MartÃnez, A., Pérez-Solero, G., Ferreiro López, S., Blom-Dahl, J., Montanya, E., Alonso-Bernáldez, M., Shabot, M., Binsch, C., Szczerbinski, L., Kretowski, A., Nevado, J., Lapunzina, P., Wagner, R., & Tenorio-Castano, J.
(2026). Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights. International Journal of Molecular Sciences, 27(7), 2966.
https://doi.org/10.3390/ijms27072966
