Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis
Abstract Background Machine Learning (ML) plays a crucial role in biomedical research.Nevertheless, it still has limitations in data integration and irreproducibility.To address these challenges, robust methods are needed.Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive cancer with low early detection rates and survival rates, is used a