Predicting combinations of drugs by exploiting graph embedding of heterogeneous networks.
Fei SongShiyin TanZengfa DouXiaogang LiuXiaoke MaPublished in: BMC Bioinform. (2022)
Keyphrases
- heterogeneous networks
- graph embedding
- discriminant analysis
- data representation
- semi supervised
- dimensionality reduction
- low dimensional
- multiple types
- heterogeneous information networks
- subspace learning
- social networks
- link prediction
- communication networks
- dictionary learning
- geometric properties
- linear discriminant analysis
- unlabeled data
- pattern recognition
- face recognition
- data sets