Prasse, P.; Iversen, P.; Lienhard, M.; Thedinga, K.; Herwig, R.; Scheffer, T.
Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity Prediction. Cancers 2022, 14, 3950.
https://doi.org/10.3390/cancers14163950
AMA Style
Prasse P, Iversen P, Lienhard M, Thedinga K, Herwig R, Scheffer T.
Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity Prediction. Cancers. 2022; 14(16):3950.
https://doi.org/10.3390/cancers14163950
Chicago/Turabian Style
Prasse, Paul, Pascal Iversen, Matthias Lienhard, Kristina Thedinga, Ralf Herwig, and Tobias Scheffer.
2022. "Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity Prediction" Cancers 14, no. 16: 3950.
https://doi.org/10.3390/cancers14163950
APA Style
Prasse, P., Iversen, P., Lienhard, M., Thedinga, K., Herwig, R., & Scheffer, T.
(2022). Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity Prediction. Cancers, 14(16), 3950.
https://doi.org/10.3390/cancers14163950