Graph Neural Networks for Double-Strand DNA Breaks Prediction.
X. U. WangHuan ZhaoWeiwei TuHao LiYu SunXiaochen BoPublished in: CoRR (2022)
Keyphrases
- neural network
- prediction accuracy
- prediction model
- artificial neural networks to predict
- random walk
- neural network ensemble
- graph structure
- graph theory
- pattern recognition
- back propagation
- multi layer perceptron
- directed acyclic graph
- prediction error
- prediction algorithm
- dna computing
- connected components
- protein function prediction
- structured data
- graph theoretic
- predictive model
- graph representation
- graph based algorithm
- genetic algorithm
- graph model
- neural nets
- associative memory
- artificial neural networks
- bipartite graph
- dna sequences
- multilayer perceptron
- neural network model
- directed graph
- self organizing maps
- fuzzy logic
- chaotic time series
- neural networks and support vector machines