Sabater, A.; Sanchis, P.; Seniuk, R.; Pascual, G.; Anselmino, N.; Alonso, D.F.; Cayol, F.; Vazquez, E.; Marti, M.; Cotignola, J.;
et al. Unmasking Neuroendocrine Prostate Cancer with a Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression. Int. J. Mol. Sci. 2024, 25, 11356.
https://doi.org/10.3390/ijms252111356
AMA Style
Sabater A, Sanchis P, Seniuk R, Pascual G, Anselmino N, Alonso DF, Cayol F, Vazquez E, Marti M, Cotignola J,
et al. Unmasking Neuroendocrine Prostate Cancer with a Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression. International Journal of Molecular Sciences. 2024; 25(21):11356.
https://doi.org/10.3390/ijms252111356
Chicago/Turabian Style
Sabater, Agustina, Pablo Sanchis, Rocio Seniuk, Gaston Pascual, Nicolas Anselmino, Daniel F. Alonso, Federico Cayol, Elba Vazquez, Marcelo Marti, Javier Cotignola,
and et al. 2024. "Unmasking Neuroendocrine Prostate Cancer with a Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression" International Journal of Molecular Sciences 25, no. 21: 11356.
https://doi.org/10.3390/ijms252111356
APA Style
Sabater, A., Sanchis, P., Seniuk, R., Pascual, G., Anselmino, N., Alonso, D. F., Cayol, F., Vazquez, E., Marti, M., Cotignola, J., Toro, A., Labanca, E., Bizzotto, J., & Gueron, G.
(2024). Unmasking Neuroendocrine Prostate Cancer with a Machine Learning-Driven Seven-Gene Stemness Signature That Predicts Progression. International Journal of Molecular Sciences, 25(21), 11356.
https://doi.org/10.3390/ijms252111356
