Predicting drug−disease associations via sigmoid kernel-based convolutional neural networks

Lignende værker

• Predicting Drug-Disease Associations via Using Gaussian Interaction Profile and Kernel-Based Autoencoder
  af: Jiang, Han-Jing, et al.
  Udgivet: (2019)
• SAEROF: an ensemble approach for large-scale drug-disease association prediction by incorporating rotation forest and sparse autoencoder deep neural network
  af: Jiang, Han-Jing, et al.
  Udgivet: (2020)
• Drug-Drug Interaction Extraction via Convolutional Neural Networks
  af: Liu, Shengyu, et al.
  Udgivet: (2016)
• Prediction of drug–target binding affinity using similarity-based convolutional neural network
  af: Shim, Jooyong, et al.
  Udgivet: (2021)
• Chromatin accessibility prediction via a hybrid deep convolutional neural network
  af: Liu, Qiao, et al.
  Udgivet: (2018)