Article Versions Notes

Salgado I, Prado Montes de Oca E, Chairez I, Figueroa-Yáñez L, Pereira-Santana A, Rivera Chávez A, Velázquez-Fernandez JB, Alvarado Parra T, Vallejo A. Deep Learning Techniques to Characterize the RPS28P7 Pseudogene and the Metazoa-SRP Gene as Drug Potential Targets in Pancreatic Cancer Patients. Biomedicines. 2024; 12(2):395. https://doi.org/10.3390/biomedicines12020395

Salgado, Iván, Ernesto Prado Montes de Oca, Isaac Chairez, Luis Figueroa-Yáñez, Alejandro Pereira-Santana, Andrés Rivera Chávez, Jesús Bernardino Velázquez-Fernandez, Teresa Alvarado Parra, and Adriana Vallejo. 2024. "Deep Learning Techniques to Characterize the RPS28P7 Pseudogene and the Metazoa-SRP Gene as Drug Potential Targets in Pancreatic Cancer Patients" Biomedicines 12, no. 2: 395. https://doi.org/10.3390/biomedicines12020395

Salgado, I., Prado Montes de Oca, E., Chairez, I., Figueroa-Yáñez, L., Pereira-Santana, A., Rivera Chávez, A., Velázquez-Fernandez, J. B., Alvarado Parra, T., & Vallejo, A. (2024). Deep Learning Techniques to Characterize the RPS28P7 Pseudogene and the Metazoa-SRP Gene as Drug Potential Targets in Pancreatic Cancer Patients. Biomedicines, 12(2), 395. https://doi.org/10.3390/biomedicines12020395