Pérez-Mauad, N.; Alberca, L.N.; Schoijet, A.C.; Vilchez Larrea, S.C.; Barrionuevo, E.M.; Muraca, G.; Sülsen, V.; Alba-Soto, C.D.; Alonso, G.D.; Talevi, A.
Application of Data-Centric Supervised Machine Learning to Predict Phenotypic Activity Against Clinically Relevant Stages of Trypanosoma cruzi. Pharmaceutics 2025, 17, 1513.
https://doi.org/10.3390/pharmaceutics17121513
AMA Style
Pérez-Mauad N, Alberca LN, Schoijet AC, Vilchez Larrea SC, Barrionuevo EM, Muraca G, Sülsen V, Alba-Soto CD, Alonso GD, Talevi A.
Application of Data-Centric Supervised Machine Learning to Predict Phenotypic Activity Against Clinically Relevant Stages of Trypanosoma cruzi. Pharmaceutics. 2025; 17(12):1513.
https://doi.org/10.3390/pharmaceutics17121513
Chicago/Turabian Style
Pérez-Mauad, Nicolás, Lucas N. Alberca, Alejandra C. Schoijet, Salome C. Vilchez Larrea, Emilia M. Barrionuevo, Giuliana Muraca, Valeria Sülsen, Catalina D. Alba-Soto, Guillermo D. Alonso, and Alan Talevi.
2025. "Application of Data-Centric Supervised Machine Learning to Predict Phenotypic Activity Against Clinically Relevant Stages of Trypanosoma cruzi" Pharmaceutics 17, no. 12: 1513.
https://doi.org/10.3390/pharmaceutics17121513
APA Style
Pérez-Mauad, N., Alberca, L. N., Schoijet, A. C., Vilchez Larrea, S. C., Barrionuevo, E. M., Muraca, G., Sülsen, V., Alba-Soto, C. D., Alonso, G. D., & Talevi, A.
(2025). Application of Data-Centric Supervised Machine Learning to Predict Phenotypic Activity Against Clinically Relevant Stages of Trypanosoma cruzi. Pharmaceutics, 17(12), 1513.
https://doi.org/10.3390/pharmaceutics17121513