Improving representations of genomic sequence motifs in convolutional networks with exponential activations

Lignende værker

• Representation learning of genomic sequence motifs with convolutional neural networks
  af: Koo, Peter K., et al.
  Udgivet: (2019)
• Convolutional neural network based on SMILES representation of compounds for detecting chemical motif
  af: Maya Hirohara, et al.
  Udgivet: (2018-12-01)
• Convolutional neural network based on SMILES representation of compounds for detecting chemical motif
  af: Hirohara, Maya, et al.
  Udgivet: (2018)
• pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks
  af: Budach, Stefan, et al.
  Udgivet: (2018)
• Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks
  af: Koo, Peter K., et al.
  Udgivet: (2021)