Deeplyessential: a deep neural network for predicting essential genes in microbes

HIGHLIGHTS

  • who: Md Abid Hasan from the Department of Computer Science and Engineering, University of Ave, CA, USA have published the paper: DeeplyEssential: a deep neural network for predicting essential genes in microbes, in the Journal: (JOURNAL)
  • what: The authors propose a deep neural network for predicting essential genes in microbes. The authors propose a feed-forward deep neural_network (DNN) called DEEPLYE SSENTIAL that uses features derived solely from the primary gene sequence, thus maximizing its practical application compared to other predictors that require structural or topological features which might not be readily available. To calculate . . .

     

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