Improving circRNA-disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks.
Chengqian LuMin ZengFang-Xiang WuMin LiJianxin WangPublished in: Bioinform. (2021)
Keyphrases
- recurrent neural networks
- chaotic time series
- feed forward
- neural network
- prediction accuracy
- reservoir computing
- complex valued
- artificial neural networks
- complex diseases
- hidden layer
- long short term memory
- recurrent networks
- feedforward neural networks
- domain knowledge
- neural model
- outbreak detection
- knowledge base
- echo state networks
- cascade correlation
- semantic web
- domain specific
- nonlinear dynamic systems
- knowledge representation
- deep belief networks
- semantic information
- network architecture
- probabilistic model