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 Hat Brushes are needed.Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive cancer with low early detection rates and survival rate

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Revisiting the Kazakhstan natural sorbents modification

Kazakhstan ranks second in the world in natural uranium reserves and a leading position in its production.Hydrometallurgical processing of uranium raw materials results in a significant amount of liquid technogenic wastes containing radionuclides.Sorption cleaning methods for these wastes are the most effective ones.However, the high Plastic Storag

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