Predicting circRNA-disease associations based on autoencoder and graph embedding.
Jing YangXiujuan LeiPublished in: Inf. Sci. (2021)
Keyphrases
- graph embedding
- low dimensional
- discriminant analysis
- cross view
- semi supervised
- data representation
- dimensionality reduction
- association rules
- dictionary learning
- discriminant embedding
- geometric properties
- subspace learning
- feature representation
- genome wide association studies
- high dimensional
- learning algorithm
- machine learning
- linear discriminant analysis
- data distribution
- label information
- data mining