Conte, L.; Rizzo, E.; Grassi, T.; Bagordo, F.; De Matteis, E.; De Nunzio, G.
Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction. Computation 2024, 12, 47.
https://doi.org/10.3390/computation12030047
AMA Style
Conte L, Rizzo E, Grassi T, Bagordo F, De Matteis E, De Nunzio G.
Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction. Computation. 2024; 12(3):47.
https://doi.org/10.3390/computation12030047
Chicago/Turabian Style
Conte, Luana, Emanuele Rizzo, Tiziana Grassi, Francesco Bagordo, Elisabetta De Matteis, and Giorgio De Nunzio.
2024. "Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction" Computation 12, no. 3: 47.
https://doi.org/10.3390/computation12030047
APA Style
Conte, L., Rizzo, E., Grassi, T., Bagordo, F., De Matteis, E., & De Nunzio, G.
(2024). Artificial Intelligence Techniques and Pedigree Charts in Oncogenetics: Towards an Experimental Multioutput Software System for Digitization and Risk Prediction. Computation, 12(3), 47.
https://doi.org/10.3390/computation12030047