Banegas-Luna, A.J.; Peña-GarcÃa, J.; Iftene, A.; Guadagni, F.; Ferroni, P.; Scarpato, N.; Zanzotto, F.M.; Bueno-Crespo, A.; Pérez-Sánchez, H.
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey. Int. J. Mol. Sci. 2021, 22, 4394.
https://doi.org/10.3390/ijms22094394
AMA Style
Banegas-Luna AJ, Peña-GarcÃa J, Iftene A, Guadagni F, Ferroni P, Scarpato N, Zanzotto FM, Bueno-Crespo A, Pérez-Sánchez H.
Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey. International Journal of Molecular Sciences. 2021; 22(9):4394.
https://doi.org/10.3390/ijms22094394
Chicago/Turabian Style
Banegas-Luna, Antonio Jesús, Jorge Peña-GarcÃa, Adrian Iftene, Fiorella Guadagni, Patrizia Ferroni, Noemi Scarpato, Fabio Massimo Zanzotto, Andrés Bueno-Crespo, and Horacio Pérez-Sánchez.
2021. "Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey" International Journal of Molecular Sciences 22, no. 9: 4394.
https://doi.org/10.3390/ijms22094394
APA Style
Banegas-Luna, A. J., Peña-GarcÃa, J., Iftene, A., Guadagni, F., Ferroni, P., Scarpato, N., Zanzotto, F. M., Bueno-Crespo, A., & Pérez-Sánchez, H.
(2021). Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey. International Journal of Molecular Sciences, 22(9), 4394.
https://doi.org/10.3390/ijms22094394