Article Versions Notes

Díaz-Beyá M, García-Fortes M, Valls R, Artigas L, Gómez-Casares MT, Montesinos P, Sánchez-Guijo F, Coma M, Vendranes M, Martínez-López J. A Systems Biology- and Machine Learning-Based Study to Unravel Potential Therapeutic Mechanisms of Midostaurin as a Multitarget Therapy on FLT3-Mutated AML. BioMedInformatics. 2022; 2(3):375-397. https://doi.org/10.3390/biomedinformatics2030024

Díaz-Beyá, Marina, María García-Fortes, Raquel Valls, Laura Artigas, Mª Teresa Gómez-Casares, Pau Montesinos, Fermín Sánchez-Guijo, Mireia Coma, Meritxell Vendranes, and Joaquín Martínez-López. 2022. "A Systems Biology- and Machine Learning-Based Study to Unravel Potential Therapeutic Mechanisms of Midostaurin as a Multitarget Therapy on FLT3-Mutated AML" BioMedInformatics 2, no. 3: 375-397. https://doi.org/10.3390/biomedinformatics2030024

Díaz-Beyá, M., García-Fortes, M., Valls, R., Artigas, L., Gómez-Casares, M. T., Montesinos, P., Sánchez-Guijo, F., Coma, M., Vendranes, M., & Martínez-López, J. (2022). A Systems Biology- and Machine Learning-Based Study to Unravel Potential Therapeutic Mechanisms of Midostaurin as a Multitarget Therapy on FLT3-Mutated AML. BioMedInformatics, 2(3), 375-397. https://doi.org/10.3390/biomedinformatics2030024