SIGNATURE BASED ON RNA-BINDING PROTEIN-RELATED GENES FOR PREDICTING PROGNOSIS AND GUIDING THERAPY IN NON-SMALL CELL LUNG CANCER

Signature based on RNA-binding protein-related genes for predicting prognosis and guiding therapy in non-small cell lung cancer

Background: Studies have reported that RNA-binding proteins (RBPs) are dysregulated in multiple cancers and are correlated with the progression and prognosis of disease.However, the functions of RBPs in non-small cell lung cancer (NSCLC) remain unclear.The present study aimed to explore the function of RBPs in NSCLC and their prognostic and therape

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An Agile Approach to Identify Single and Hybrid Normalization for Enhancing Machine Learning-Based Network Intrusion Detection

Detecting intrusion in network traffic has remained a problematic task for years.Progress in the field of machine learning is paving the way for enhancing intrusion detection systems.Due to this progress intrusion detection has become an integral part of network security.Intrusion detection has achieved high detection accuracy with the help of TV s

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