Drug-Target Interaction Prediction via Graph Auto-Encoder and Multi-Subspace Deep Neural Networks.
Qing YeXiaolong ZhangXiaoli LinPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2023)
Keyphrases
- neural network
- protein interaction
- prediction accuracy
- prediction model
- pattern recognition
- random walk
- graph structure
- radial basis function network
- genetic algorithm
- artificial neural networks to predict
- neural networks and support vector machines
- back propagation
- intra coding
- predictive coding
- directed acyclic graph
- prediction error
- graph representation
- dimensionality reduction
- multi layer perceptron
- subspace clustering
- graph model
- principal component analysis
- graph theory
- low complexity
- fuzzy logic
- video codec
- feature extraction
- artificial neural networks
- neural network ensemble
- user interaction
- directed graph
- video coding
- structured data
- high dimensional data
- weighted graph
- bipartite graph
- self organizing maps
- bit rate
- high dimensional