GAN-Enhanced Machine Learning and Metabolic Modeling Identify Reprogramming in Pancreatic Cancer

Abstract excerpt

Pancreatic Ductal Adenocarcinoma (PDAC) is one of the deadliest forms of cancer and presents a significant clinical challenge due to poor prognosis and limited treatment options. In this study, we developed a novel framework integrating genome-scale metabolic modeling (GSM) with machine learning to identify metabolic biomarkers and vulnerabilities in PDAC. We addressed the inherent class imbalance in cancer datase...

Topics

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• Cancer, Hypoxia, and Metabolism
• Cluster Analysis
• Genomics
• Microbial Metabolic Engineering and Bioproduction
• Mutation
• Pancreatic and Hepatic Oncology Research
• Pancreatic Neoplasms
• Prognosis

Identifiers and source

Literature Corpus work

9dca6d69-98b5-5e2b-b9c2-e9bc7c8d9f74

DOI

10.1101/2025.06.01.657244