Predicting gene-disease associations from the heterogeneous network using graph embedding.
Xiaochan WangYuchong GongJing YiWen ZhangPublished in: BIBM (2019)
Keyphrases
- heterogeneous networks
- graph embedding
- genetic variation
- discriminant analysis
- low dimensional
- semi supervised
- dimensionality reduction
- data representation
- heterogeneous information networks
- microarray
- subspace learning
- multiple types
- feature representation
- communication networks
- link prediction
- social networks
- learning algorithm
- dictionary learning
- genome wide association studies
- data mining
- single nucleotide polymorphisms
- real world
- data sets
- linear discriminant analysis
- random walk
- high dimensional
- face recognition