IDENTIFICATION OF NOVEL TOXINS ASSOCIATED WITH THE EXTRACELLULAR CONTRACTILE INJECTION SYSTEM USING MACHINE LEARNING

Identification of novel toxins associated with the extracellular contractile injection system using machine learning

Abstract Secretion systems play a crucial role in microbe-microbe or host-microbe interactions.Among these systems, the extracellular contractile injection system (eCIS) is a unique bacterial and archaeal extracellular secretion system that injects protein toxins into target organisms.However, the specific proteins that eCISs inject into target cel

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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

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