AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks.
Ruiwei FengYufeng XieMinshan LaiDanny Z. ChenJi CaoJian WuPublished in: BIBM (2021)
Keyphrases
- neural network
- prediction model
- prediction accuracy
- artificial neural networks
- neural network ensemble
- genetic algorithm
- drug design
- data integration
- artificial neural networks to predict
- graph structure
- graph theory
- neural networks and support vector machines
- directed graph
- visual attention
- pattern recognition
- graph representation
- back propagation
- protein function prediction
- fuzzy logic
- predictive model
- multi layer
- self organizing maps
- multi layer perceptron
- prediction error
- random walk
- structured data
- multilayer perceptron
- graph matching
- neural network model
- fault diagnosis
- training process
- graph mining
- graph theoretic
- feed forward
- chaotic time series
- learning algorithm