deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks

With the advances in high-throughput technologies, millions of somatic mutations have been reported in the past decade.Identifying driver genes with oncogenic mutations from these data is a critical and challenging problem.Many computational methods have been proposed to predict driver genes.Among them, machine learning-based methods usually train

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Evaluation of acoustic pulse technology as a non-antibiotic therapy for bovine intramammary infections: Assessing bacterial cure vs. recovery from inflammation

IntroductionThe spread of antimicrobial resistance (AMR) is a major threat to human and animal health.Therefore, new solutions are needed to prevent returning to a world without effective antibiotics.Mastitis in dairy cows is a major reason for antimicrobial use in food animal production, and mastitis-causing bacteria have the potential to develop

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