Deep Learning Techniques to Characterize the <i>RPS28P7</i> Pseudogene and the <i>Metazoa</i>-<i>SRP</i> Gene as Drug Potential Targets in Pancreatic Cancer Patients

Deep Learning Techniques to Characterize the <i>RPS28P7</i> Pseudogene and the <i>Metazoa</i>-<i>SRP</i> Gene as Drug Potential Targets in Pancreatic Cancer Patients

The molecular explanation about why some pancreatic cancer (PaCa) patients die early and others die later is poorly understood. This study aimed to discover potential novel markers and drug targets that could be useful to stratify and extend expected survival in prospective early-death patients. We...

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Bibliographic Details
Main Authors: Iván Salgado, Ernesto Prado Montes de Oca, Isaac Chairez, Luis Figueroa-Yáñez, Alejandro Pereira-Santana, Andrés Rivera Chávez, Jesús Bernardino Velázquez-Fernandez, Teresa Alvarado Parra, Adriana Vallejo
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Biomedicines
Subjects:
deep learning
pancreatic cancer
lethality
biomarkers
gene copy number
gene expression
Online Access:https://www.mdpi.com/2227-9059/12/2/395

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https://www.mdpi.com/2227-9059/12/2/395

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