Discovering escherichia coli k-12 promoter features using convolutional neural network

HIGHLIGHTS

• who: Mengmeng Zhang and collaborators from the College of Life Sciences, Capital Normal University, Beijing, China have published the paper: Discovering Escherichia coli K-12 Promoter Features Using Convolutional Neural Network, in the Journal: (JOURNAL)
• what: The authors provide a novel computational approach to discover features in biological sequences. The authors demonstrated that deep convolutional neural netword model performs better than the traditional bioinformatic algorithm in finding features in DNA sequences.
• how: The authors saved the model weights in an h5 file after each round of training and applied the weights from the . . .
  

   

  

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