Classification of alkaloids according to the starting substances of their biosynthetic pathways using graph convolutional neural networks.
Ryohei EguchiNaoaki OnoAki HiraiTetsuo KatsuragiSatoshi NakamuraMing HuangMd. Altaf-Ul-AminShigehiko KanayaPublished in: BMC Bioinform. (2019)
Keyphrases
- convolutional neural networks
- classification accuracy
- classification method
- connected components
- pattern classification
- starting point
- classification scheme
- pattern recognition
- feature extraction
- neural network
- training set
- classification systems
- graph representation
- automatic classification
- graph theory
- training samples
- support vector machine svm
- feature selection
- graph model
- bipartite graph
- convolutional network
- benchmark datasets
- random walk
- text classification
- image classification
- supervised learning
- multi class
- active learning
- feature vectors
- support vector
- decision trees
- machine learning